CN109273083B - Body detection system for assisting pulse diagnosis - Google Patents
Body detection system for assisting pulse diagnosis Download PDFInfo
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- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
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Abstract
The invention provides a body detection system for assisting pulse diagnosis, which comprises a physiological index detection device, a pulse diagnosis processing device and a pulse diagnosis processing device, wherein the physiological index detection device is used for detecting a physiological index of a user according to a preset detection period to obtain a detection result corresponding to each detection period; the management center is used for analyzing whether each physiological index in the detection result corresponding to each detection period falls into a preset physiological index or not; when a physiological index which does not fall into a preset physiological index exists, sending the physiological index which does not fall into the preset physiological index, a detection cycle identifier corresponding to the physiological index and a detection result to a monitoring terminal and a doctor end for displaying; the VR helmet is worn by a user and has a remote video call function; the doctor end is used for establishing remote video call connection with the VR helmet so as to realize video call between a doctor and a user; the VR helmet is also used for recording the video call content between the VR helmet and the doctor end and sending the recording result to the management center for storage.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a body detection system for assisting pulse diagnosis.
Background
The pulse-taking is a palpation method to examine the change of pulse condition by touching the pulse at different parts of the body. Also called pulse-feeling, pulse-pressing, pulse-sustaining. The formation of the pulse condition is closely related to the qi and blood of the zang-fu organs, and if the qi and blood of the zang-fu organs are affected, the blood circulation will be affected and the pulse condition will change.
The pulse diagnosis is clinically used to infer the prognosis of disease. Clinically, the pulse-taking time and the body position of the patient are mainly mastered, the finger methods and finger strength of doctors are light and heavy, the pulse-taking time is limited to that each side pulse beats not less than 50 times, and the pulse-taking can be correctly carried out only by knowing the change condition of the pulse condition of a healthy person. The pulse diagnosis adopted by ancient Chinese medicine in diagnosing diseases is a unique pulse diagnosis method, is one of the four diagnostic methods (inspection, auscultation, inquiry and cutting) in traditional Chinese medicine, and is also an indispensable objective basis for diagnosis and treatment.
The pulse-taking depends on the manual judgment of the doctor on the phenomenon, and if the physiological index can be scientifically detected, more scientific and accurate data can be provided for the pulse-taking, so that the working efficiency and effect of the doctor are improved.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides a body detection system for assisting pulse taking, which is used to provide a technology that can be known in time when the physiological index of the user is abnormal.
The embodiment of the invention provides a body detection system for assisting pulse diagnosis, which comprises:
the physiological index detection equipment is used for detecting the physiological index of the user according to a preset detection period to obtain a detection result corresponding to each detection period;
the management center is used for analyzing whether each physiological index in the detection result corresponding to each detection period falls into a preset physiological index or not; when a physiological index which does not fall into a preset physiological index exists, sending the physiological index which does not fall into the preset physiological index, a detection cycle identifier corresponding to the physiological index and a detection result to a monitoring terminal and a doctor end for displaying;
the VR helmet is worn by the user and has a remote video call function;
the doctor end is used for establishing remote video call connection with the VR helmet so as to realize video call between a doctor and a user;
the VR helmet is also used for recording the video call content between the VR helmet and a doctor end, and sending the recording result to the management center for storage.
In one embodiment, the physiological index detection device further comprises a heart rate detection device;
the heart rate detection device comprises a asystole detection module and a heart rate sensing module;
the asystole monitoring module comprises a timing unit, a first comparison unit and a second comparison unit;
the first comparison unit receives heart rate data of a user transmitted by the heart rate sensing module and transmits a time recording instruction to the timing unit;
the timing unit receives the time recording instruction, initializes the time to zero and starts timing, and transmits a comparison instruction to the second comparison unit;
the second comparison unit receives the comparison instruction, dynamically compares the time recorded by the timing unit with a preset time threshold, stops comparison when the time recorded by the timing unit is greater than the preset time threshold, sends the asystole information to the server and triggers the alarm device;
the heart rate detection device also comprises an alarm device which is used for carrying out sound-light alarm when the heart rate detection device detects the abnormal state of asystole; the alarm device comprises a buzzer;
the physiological index detection device also comprises a temperature detection device;
the temperature detection device comprises a thermistor sensing module which is arranged at the bottom of the pulse sensing device and used for collecting the body temperature when a user is subjected to pulse taking.
In an embodiment, the management center is further configured to analyze the potential risk of the disease of the user according to the detection result corresponding to each detection period and a preset disease diagnosis model.
In one embodiment, the physiological index detection device comprises a bracelet, on which a physiological index detection component is arranged, wherein the physiological index detection component comprises any one or more of a heart rate detection component, a pulse detection component, a blood oxygen value detection component and a blood pressure detection component.
In one embodiment, the analyzing the potential risk of the disease of the user according to the detection result corresponding to each detection cycle and a preset disease diagnosis model includes:
step 1: acquiring detection results corresponding to N1 continuous detection periods from the physiological index detection equipment to obtain N1 detection results; determining whether the N1 is equal to or greater than N; if yes, continuing to step 2; otherwise, ending the flow;
step 2: determining the number of a first group of detection results of which the blood pressure value is greater than a preset blood pressure value from the N1 detection results; continuing to step 3 when the number of the first set of detection results is equal to or greater than N2; when the number of the first group of detection results is less than N2, deleting the N1 detection results, and reusing the physiological index detection equipment for detection;
and step 3: when the number of the first group of detection results is equal to or larger than N2, judging whether the detection period corresponding to each detection result in the first group of detection results is adjacent; when not adjacent, returning to the step 1; when adjacent, continuing to step 4;
and 4, step 4: when the detection periods corresponding to each detection result in the first group of detection results are adjacent, determining the number of the second group of detection results when the organ of the user is in the sub-health state according to the N1 detection results; judging whether the number of the second group of detection results is equal to or larger than N3; when the number of the second group of detection results is equal to or greater than N3, recording the first organ in the sub-health state, and continuing to the step 5;
and 5: determining a second organ with a blood oxygen value equal to or less than a preset blood oxygen value from the N1 test results; judging the number of detection results that the blood oxygen value of the second organ is equal to or less than a preset blood oxygen value; when the number is equal to or greater than N4, recording a second organ, and continuing with step 6; when the number is less than N4 and greater than 1, returning to the step 5; when the number is equal to 0, ending the flow;
step 6: and taking the first organ, the second organ, the first group of detection results and the second group of detection results as a basis for judging whether the user has a potential disease risk, analyzing the potential disease risk of the user by combining a preset disease diagnosis model, and generating an analysis report.
In one embodiment, the preset disease diagnosis model at least includes a value range of a physiological index of a preset organ of a disease potential patient;
the step 6 includes:
judging whether the first organ and the second organ contain the preset organ or not;
when the first organ and the second organ contain the preset organ, judging whether the physiological index corresponding to the first organ in the first group of detection results is located in a value range of the physiological index corresponding to the first organ and judging whether the physiological index corresponding to the second organ in the second group of detection results is located in a value range of the physiological index corresponding to the second organ; when the two judgment results are yes, generating a report that the user is a potential disease patient; when at least one of the two judgment results is negative, generating a report that the user is not a potential disease patient;
generating a report that the user is not a potential patient for disease when the predetermined organ is not included in the first and second organs.
In one embodiment, the system further comprises a user information collecting module for collecting user information of the user, wherein the user information comprises gender and age;
the management center is further configured to send the user information of the user, the physiological index that does not fall within the preset physiological index, and the detection cycle identifier and the detection result corresponding to the physiological index to the monitoring terminal.
In one embodiment, the analyzing, by the management center, the potential risk of the disease of the user according to the detection result corresponding to each detection period and a preset disease diagnosis model includes:
the management center acquires a matching model matched with the gender and the age of the user from a preset disease diagnosis model according to the gender and the age of the user;
and analyzing the disease potential risk of the user according to the detection result corresponding to each detection period and the matching model.
In one embodiment, the client is in communication connection with the management center and is used for acquiring an analysis result obtained after the management center analyzes the disease potential risk of the user and displaying the analysis result to the user;
the management center is further configured to send an analysis result to the client when the analysis result obtained after the analysis of the disease potential risk of the user is a preset result;
the user working time acquisition module is used for acquiring the working time of the user in each detection period;
the server is further used for analyzing the disease potential risk of the user according to the detection result corresponding to each detection period, the working time of the user in each detection period and a preset disease diagnosis model.
In one embodiment, the system further comprises:
the intelligent pulse diagnosis device comprises a pulse diagnosis device 21 and a controller 24, wherein the pulse diagnosis device 21 is connected with the controller 24 through a catheter 22 and a lead 23; the pulse diagnosis device 21 comprises a supporting device 25, a pulse detection device 26 is arranged on a beam of the supporting device 25, and the pulse detection device 26 is arranged on the beam;
the pulse detection device 26 comprises a pulse detection device shell 27, adjusting bolts 28 are symmetrically arranged on two sides of the top end of the pulse detection device shell 27, an air inlet 29 and an air outlet 210 of a guide pipe 22 are arranged at the left end of the pulse detection device shell 27, a sealing shell 211 is arranged in the pulse detection device 26, the sealing shell 211 is connected with the guide pipe 22 through the air inlet 29 and the air outlet 210, a lifting device 212 is arranged in the sealing shell 211, elastic plugs 213 are symmetrically arranged at the left end and the right end of the lifting device 212, a spring body 214 is arranged on the upper side of the bottom of the sealing shell 211 and connected with the lifting device 212, the spring body 214 is used for supporting and resetting the lifting device 212, the lower end of the lifting device 212 is connected with a lifting frame 215, the lifting frame 215 is driven by the lifting device 212 to lift, a pressure sensing device 216 is arranged between the lifting frame 212 and the lifting frame, the pressure sensing device 216 is connected with the controller 24 through a lead; the bottom of the supporting device is provided with a sucker 217; the supporting device 25 is provided with a height adjusting device 218 for controlling and adjusting the lifting of the supporting rod 219.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a block diagram of a body detection system for assisting pulse taking according to the present invention;
FIG. 2 is a schematic structural diagram of an intelligent pulse diagnosis device of the body detection system for assisting pulse diagnosis provided by the present invention;
fig. 3 is a schematic view of a bracelet structure of the body detection system for assisting pulse taking provided by the invention;
fig. 4 is a schematic structural view of a back cover of a bracelet of the body detection system for assisting pulse taking provided by the invention;
FIG. 5 is a schematic side view of a back cover of a bracelet of the body detection system for assisting pulse taking provided by the invention;
FIG. 6 is a process flow diagram of a management center provided by the present invention;
fig. 7 is a schematic structural diagram of a VR headset of a body detection system for assisting pulse taking provided by the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
An embodiment of the present invention provides a body detection system for assisting pulse taking, as shown in fig. 1, including:
the physiological index detection device 11 is used for detecting a physiological index of a user according to a preset detection period to obtain a detection result corresponding to each detection period; wherein the physiological index can be any one or more of heart rate, pulse, blood oxygen value and blood pressure.
The management center 12 is used for analyzing whether each physiological index in the detection result corresponding to each detection period falls into a preset physiological index; when a physiological index which does not fall into a preset physiological index exists, sending the physiological index which does not fall into the preset physiological index, a detection cycle identifier corresponding to the physiological index and a detection result (which is subsequently referred to as preset information for short) to a monitoring terminal and a doctor end for displaying;
a VR headset 14 for wearing by the user and having a remote video call function;
the doctor end 15 is used for establishing a remote video call connection with the VR helmet 14 so as to realize a video call between a doctor and a user;
the VR headset 14 is further configured to record content of a video call between the VR headset and the doctor end 15, and send a recording result to the management center 12 for storage.
The system can be timely known when the physiological index of the user is abnormal, thereby being convenient for monitoring the body of the user, providing short-term referable body data for pulse diagnosis and facilitating pulse diagnosis of doctors. Meanwhile, a doctor and a user can communicate with each other through a doctor end, VR glasses and a VR helmet, the doctor records a communication result, the doctor can obtain a physiological index of the user, which does not fall into a preset physiological index, a detection cycle identifier corresponding to the physiological index and a detection result through the doctor end, and the doctor can be used as a basis for later pulse diagnosis when communicating with the user.
In one embodiment, the management center is further configured to analyze the potential risk of the disease of the user according to the detection result corresponding to each detection period and a preset disease diagnosis model.
In one embodiment, the physiological index detection device may be implemented as a bracelet, on which the physiological index detection component is disposed, and the physiological index detection component includes any one or more of a heart rate detection component, a pulse detection component, a blood oxygen value detection component, and a blood pressure detection component. Other physiological index detecting devices may be used as long as the physiological index of the user can be detected, and the present invention is not limited thereto.
In an embodiment, the management center analyzes the potential risk of the disease of the user according to the detection result corresponding to each detection period and a preset disease diagnosis model, as shown in fig. 6, the method may be implemented as the following steps 1 to 6:
step 1: acquiring detection results corresponding to N1 continuous detection periods from physiological index detection equipment to obtain N1 detection results; determining whether N1 is equal to or greater than N; if yes, continuing to step 2; otherwise, ending the flow;
the detection period may be calculated by day, for example, one detection period per day. Preferably, N may be a value set in advance such as 14, 21, 35, etc., preferably 21; n1 is preferably also 21, i.e. 21 days of detection can be obtained in step 1. When a certain number of detection results are available, the detection results can be used as an effective basis for subsequent prediction diagnosis, and if the number of the detection results is insufficient, the user is continuously detected.
Step 2: determining the number of the first group of detection results of which the blood pressure value is greater than the preset blood pressure value from the N1 detection results;
continuing to step 3 when the number of the first set of detection results is equal to or greater than N2;
and when the number of the first group of detection results is less than N2, deleting N1 detection results, and reusing the physiological index detection equipment for detection.
Among them, when N1 is equal to 21, N2 is preferably 7.
If the blood pressure value is larger than the preset blood pressure value, the blood pressure of the user is abnormal, and when more blood pressures in the detection result are abnormal, the subsequent step 3 needs to be continuously executed for prediction; when the abnormal blood pressure is less, the user is healthy, and the body of the user can be continuously detected.
And step 3: when the number of the first group of detection results is equal to or larger than N2, judging whether the detection period corresponding to each detection result in the first group of detection results is adjacent; when not adjacent, returning to the step 1; when adjacent, continue step 4.
That is, when the abnormal blood pressure condition of the user continuously appears, it indicates that the body of the user may have a problem, and the prediction needs to be continued to the subsequent step 4. When the abnormal condition of the blood pressure of the user is not continuous, the body of the user is indicated to have no big obstacle, and the body detection of the user is continued.
And 4, step 4: when the detection periods corresponding to each detection result in the first group of detection results are adjacent, determining the number of the second group of detection results of the sub-health state of the organ of the user according to the N1 detection results; judging whether the number of the second group of detection results is equal to or larger than N3;
when the number of second set of test results is equal to or greater than N3, the first organ in sub-health state is recorded and step 5 is continued.
Wherein preferably N3 is 15.
And 5: determining a second organ having a blood oxygen value equal to or less than a predetermined blood oxygen value from the N1 test results; and judging the number of detection results that the blood oxygen value of the second organ is equal to or less than the preset blood oxygen value; when the number is equal to or greater than N4, recording a second organ, and continuing with step 6; when the number is less than N4 and greater than 1, returning to the step 5; when the number is equal to 0, the flow ends.
Wherein preferably N4 is 10.
Step 6: and taking the first organ, the second organ, the first group of detection results and the second group of detection results as a basis for judging whether the user has the potential disease risk, analyzing the potential disease risk of the user by combining a preset disease diagnosis model, and generating an analysis report.
The system provided by the embodiment of the invention can predict the potential disease risk of the user according to the body detection result, and compared with the prior art which needs artificial prediction, the system provides an intelligent auxiliary means, has scientific basis, can ensure the prediction accuracy, and can timely evaluate the disease risk for the user.
In one embodiment, the preset disease diagnosis model at least comprises a value range of a physiological index of a preset organ of a disease potential patient;
and step 6, comprising:
judging whether the first organ and the second organ contain a preset organ or not;
when the first organ and the second organ contain preset organs, judging whether the physiological index corresponding to the first organ in the first group of detection results is located in the value range of the physiological index corresponding to the first organ and judging whether the physiological index corresponding to the second organ in the second group of detection results is located in the value range of the physiological index corresponding to the second organ; when the two judgment results are yes, generating a report that the user is a potential disease patient; when at least one of the two judgment results is negative, generating a report that the user is not a potential disease patient;
when the preset organ is not included in the first organ and the second organ, a report is generated that the user is not a potential patient for disease.
In the system, the disease diagnosis model is established in advance, and a relatively accurate prediction means is provided for predicting the potential risk of the disease.
In one embodiment, the system further comprises a user information collecting module for collecting user information of the user, wherein the user information comprises gender and age; the management center is further configured to send the user information of the user, the physiological index that does not fall within the preset physiological index, and the detection cycle identifier and the detection result corresponding to the physiological index to the monitoring terminal. The personnel at the monitoring terminal can conveniently acquire the user information, so that the medical measures can be taken for the user in a targeted manner.
In one embodiment, the analysis of the potential risk of the disease of the user by the management center according to the detection result corresponding to each detection cycle and a preset disease diagnosis model includes:
the management center acquires a matching model matched with the gender and the age of the user from a preset disease diagnosis model according to the gender and the age of the user;
and analyzing the disease potential risk of the user according to the detection result and the matching model corresponding to each detection period.
The system can predict the user according to the information of the user such as sex, age and the like and the corresponding disease diagnosis model, fully considers the difference and individuality of different sexes and ages in disease diagnosis, and improves the prediction accuracy.
In one embodiment, the system may further include:
and the client is in communication connection with the management center and is used for acquiring an analysis result obtained after the management center analyzes the disease potential risk of the user and displaying the analysis result to the user.
Therefore, the user can obtain the analysis result of the disease potential risk at any time and know the situation in time.
In an embodiment, the management center is further configured to send the analysis result to the client when the analysis result obtained after the analysis of the disease risk potential of the user is a preset result. For example, when the analysis result shows that the user is a potential disease patient, the analysis result is sent to the client; when the analysis result shows that the user is not a potential disease patient, not sending the analysis result to the client; therefore, the information can be selectively sent, the processing load on the management center is reduced, the information interaction between the management center and the client is reduced, and the network resource between the management center and the client is saved.
In one embodiment, the system further comprises:
the user working time acquisition module is used for acquiring the working time of the user in each detection period; for example, the working time of the user in each detection period is obtained from a working time counting server of a unit where the user is located;
the server is further used for analyzing the disease potential risk of the user according to the detection result corresponding to each detection period, the working time of the user in each detection period and a preset disease diagnosis model. Specifically, for example, when a report that the user is a potential disease patient is generated according to the detection result corresponding to each detection period and the preset disease diagnosis model, further, the sum of the working time of the user in all the detection periods may be determined, and when the sum is equal to or greater than the preset time, a report that the user is a high risk group of potential disease patients is generated. Thus, a reference standard can be provided for prediction according to the working intensity of the user.
In one embodiment, the system includes an intelligent pulse diagnosis device 13, as shown in fig. 2:
the intelligent pulse diagnosis device comprises a pulse diagnosis device 21 and a controller 24, wherein the pulse diagnosis device 21 is connected with the controller 24 through a catheter 22 and a lead 23; the pulse diagnosis device 21 comprises a supporting device 25, a pulse detection device 26 is arranged on a beam of the supporting device 25, and the pulse detection device 26 is arranged on the beam;
the pulse detection device 26 comprises a pulse detection device shell 27, adjusting bolts 28 are symmetrically arranged on two sides of the top end of the pulse detection device shell 27, an air inlet 29 and an air outlet 210 of a guide pipe 22 are arranged at the left end of the pulse detection device shell 27, a sealing shell 211 is arranged in the pulse detection device 26, the sealing shell 211 is connected with the guide pipe 22 through the air inlet 29 and the air outlet 210, a lifting device 212 is arranged in the sealing shell 211, elastic plugs 213 are symmetrically arranged at the left end and the right end of the lifting device 212, a spring body 214 is arranged on the upper side of the bottom of the sealing shell 211 and connected with the lifting device 212, the spring body 214 is used for supporting and resetting the lifting device 212, the lower end of the lifting device 212 is connected with a lifting frame 215, the lifting frame 215 is driven by the lifting device 212 to lift, a pressure sensing device 216 is arranged between the lifting frame 212 and the lifting frame, the pressure sensing device 216 is connected with the controller 24 through a lead; the bottom of the supporting device is provided with a sucker 217; the supporting device 25 is provided with a height adjusting device 218 for controlling the lifting of the adjusting supporting rod 219;
the working principle of the technical scheme is as follows: the adjusting bolts 28 are disposed at three positions on the top of the casing 27 of the pulse detector, and can be fine-tuned left and right for fixing the pulse detector 26, the air inlet 29 is connected to the conduit 22, the other end of the conduit 22 is connected to an inflator for inflating and pressurizing the sealed casing 211. The exhaust port 210 is connected to the conduit 22, and the other end of the conduit 22 is connected to an exhaust device for exhausting and depressurizing the hermetic container 211. The lifting device 212 is installed on the sealed shell 211, the lifting device 212 performs lifting movement under the action of gas pressure and the spring body 214, a gap is reserved between the lifting frame 215 and the lifting device 212, the pressure sensing device 216 is installed in the gap, the pressure sensing device 216 is connected to the lifting frame 215, pressure is applied to a pulse position when pulse taking is performed, the lifting device 23 contacts the pressure sensing device 216 to apply pressure, the pressure sensing device 215 detects pressure change, and detection data are transmitted to the controller 24. The pulse sensing device 28 is shaped like a hemisphere, which is similar to the shape of a human finger, and can flexibly perform pulse taking on the user.
The beneficial effects of the above technical scheme are that: the intelligent pulse-taking device has the function of specially diagnosing pulse conditions and can truly simulate the pulse-taking manipulation of traditional Chinese medicine. The intelligent pulse diagnosis device can realize the functions of adsorption adjustment, height adjustment and pulse diagnosis point distance adjustment, and can perform adaptive adjustment on different users. The intelligent pulse diagnosis device adopts air pressure and spring body elasticity as driving, and the air pressure driving has the advantages of adjustable air pressure and uniform pressure application, so that the acquired data is more accurate. The user can utilize intelligent pulse diagnosis device to carry out pulse diagnosis by oneself when carrying out video conversation with the doctor end after wearing the VR helmet. When carrying out video call between VR helmet and doctor end, intelligent pulse diagnosis device also with doctor end between the communication connection, send the pulse diagnosis result to doctor end at the video call in-process, make things convenient for doctor end according to intelligent pulse diagnosis result and video call content and the aforesaid preset information that management center sent, synthesize and diagnose for the user.
The controller comprises a lead-acid storage battery, wherein a buffer sealing device is arranged in the storage battery, the buffer sealing device is arranged in an upper shell and a lower shell, the upper shell is connected with the lower shell, two concave curved surfaces are arranged at the joint of the upper shell and the lower shell, the lower shell is symmetrically provided with two concave curved surfaces, a first concave surface of the upper shell and a second concave surface of the lower shell are combined to form a group of symmetrical closed concave curved surfaces to form a first buffer area, and peripheral planes of the first buffer area form a sealing surface; the second concave surface of inferior valve is than the second concave surface width 6mm of epitheca, and the second concave surface of epitheca combines together with the second concave surface of inferior valve, combines the clearance to form the second buffers. The storage battery adopts the structure, is simple to manufacture, reduces the manufacturing cost, is provided with the buffer area, can keep a good state when the conditions such as external force shock exist, and avoids the phenomenon that the battery is damaged due to external force to influence the operation of the device.
The intelligent pulse diagnosis device comprises 3 pulse detection devices for pressing three pulse positions of cun, guan and chi of a human body to receive pulse information.
In one embodiment, the physiological index detection device further comprises a heart rate detection device;
the heart rate detection device comprises a asystole detection module and a heart rate sensing module;
the asystole monitoring module comprises a timing unit, a first comparison unit and a second comparison unit;
the first comparison unit receives heart rate data of a user transmitted by the heart rate sensing module and transmits a time recording instruction to the timing unit;
the timing unit receives the time recording instruction, initializes the time to zero and starts timing, and transmits a comparison instruction to the second comparison unit;
the second comparison unit receives the comparison instruction, dynamically compares the time recorded by the timing unit with a preset time threshold, stops comparison when the time recorded by the timing unit is greater than the preset time threshold, sends the asystole information to the server and triggers the alarm device;
the heart rate detection device also comprises an alarm device which is used for carrying out sound-light alarm when the heart rate detection device detects the abnormal state of asystole; the alarm device comprises a buzzer.
The physiological index detection device also comprises a temperature detection device;
the temperature detection device comprises a thermistor sensing module which is arranged at the bottom of the pulse sensing device and used for collecting the body temperature when a user is subjected to pulse taking.
In one embodiment, as shown in fig. 3, the bracelet includes two wristbands and a bracelet body 31 disposed between the two wristbands; of the two wristbands, the first wristband 32 is longer than the second wristband 33.
The first wrist strap 32 has an accommodating space 33 therein, and the accommodating space 33 is communicated with the outside through a hole on the first wrist strap 32; a bendable plate-like body 34, the plate-like body 34 being movably disposed in the accommodating space 33 and being detachable from the wrist band through the hole; a data plug 35 is arranged at one end of the plate-shaped body 34 close to the connecting end of the first wrist strap 32 and the first wrist strap 31, and a data jack 36 matched with the data plug 35 is arranged at one end of the first wrist strap 31 connected with the first wrist strap 32; a plurality of placing grooves 37 are formed in the inner surface of the plate-shaped body 34, a physiological index detecting assembly 38 is placed in each placing groove 37, and each physiological index detecting assembly 38 is connected with the data plug 35 through a data line arranged in the plate-shaped body 34; the plate-like body 34 is also provided with button cells 36, the button cells 36 being connected to each physiological index detecting assembly 38. When the plate-shaped body 34 is placed inside the first wrist strap 32, the data plug 35 is plugged into the data jack 36, and the inner surface of the first wrist strap 32 is provided with an opening matched with the physiological index detecting component 38, so that when the wrist wears the bracelet and the first wrist strap 32 is worn on the wrist, the physiological index detecting component 38 can also be contacted with the skin of the wrist, thereby achieving the purpose of detection.
The first wrist strap 32 is connected to a first elastic strap 39 at an end (free end) away from the main body of the wrist strap, and the first elastic strap 39 is provided with a buckle connector 310. One end (free end) of the second wrist strap 33 far away from the wrist strap body is connected with a second elastic belt 311, and a fastening hole 312 adapted to the fastening head 310 is disposed on the second elastic belt 311.
In the above-described bracelet, the plate-like body 34 can be detached from the bracelet, and when the bioassay function is to be used, the plate-like body 34 is inserted into the first wristband 32, and when the bioassay function is not to be used, the plate-like body 34 is pulled out of the first wristband 32. The plate-shaped body 34 can be conveniently inserted into the data socket 36 of other mobile terminals, so that other mobile terminals can conveniently obtain physiological detection results.
In another embodiment, as shown in fig. 4 and 5, the bracelet main body includes a dial plate on which a display screen can be arranged, a power supply or other modules can be arranged inside the dial plate, and a back cover 41 is arranged at the bottom of the dial plate and is rectangular or square; the conventional back cover 41 is fixed at the bottom end of the dial plate through screws, but the back cover 41 can be opened only by a special screwdriver in the mode, which is inconvenient. The embodiment of the invention improves the rear cover and provides a background which is convenient to open and close, wherein the plate-shaped body 34 is made of hard material, such as metal, and is in a semi-ring shape (as shown in figure 5)
One side of the back cover 41 is rotatably connected to the bottom end frame of the dial, the inner surface of the back cover 41 is further provided with a micro motor 42, a driving shaft 43 of the micro motor 42 penetrates through the other side of the back cover 41 (which belongs to the adjacent side with the one side of the back cover 41), the driving shaft 43 is perpendicular to the other side, a gear 44 penetrates through the driving shaft 43, and the gear 44 can be driven by the driving shaft 43 to rotate; the micro motor 42 is used for driving the driving shaft 43 to rotate; the micro-motor 42 is connected to a power supply within the dial. A processor 45 is also arranged in the dial, a key 46 is also arranged on the dial, and when the key 46 is pressed once, the processor 45 controls the micro motor 42 to drive the driving shaft 43 to rotate; when the button 46 is pressed next time, the processor 45 controls the micro motor 42 to drive the driving shaft 43 to stop rotating. The rotating drive shaft 43 rotates the gear 44.
The bottom end of the dial is provided with a groove 51 with the shape matched with that of the rear cover 41 of the associated gear 44; wherein, the lower end of the part of the groove 51 which is matched with the gear 44 is provided with a jack 52, and the jack 52 is matched with the shape of the data plug 35; in the use state, the back cover 41 with the gear 44 is positioned in the groove 51, so as to achieve the effect of closing the dial. The jack 52 may be a data jack adapted to the shape of the data plug 35, and in this case, it functions not only as a fixed rail but also as a spare jack for the data jack 36 by guiding data in the plate-like body into the bracelet body.
One circumferential edge of the inner surface of the plate-like body 34 is provided with a guide rail 53 (not shown) which is engaged with the gear 44;
when it is desired to open the rear cover 41, the semi-annular plate-like body is pulled out from the first wrist band 32, the data plug 35 is inserted into the insertion hole 52, and the guide rail 53 of the plate-like body faces the gear 44. When the user presses the button 46, the processor 45 controls the micro-motor 42 to drive the gear 44 to start rolling along the guide rail 53, and the guide rail 53 drives the gear 44 to continuously advance along the guide rail 53, so as to open the rear cover 41. After opening, the plate-like body 34 is pulled out from the insertion hole 52, and the rear cover 41 is manually pushed into the recess 51.
In the structure, the plate-shaped body additionally serves as the guide rail without additionally configuring a special guide rail, so that the whole structure of the bracelet is simplified, and the bracelet is convenient and quick to use.
In one embodiment, there may be a plurality of monitoring terminals, and there may also be a plurality of management centers, and when the monitoring terminals are application programs, each management center is responsible for information transmission with the monitoring terminals registered in the management center.
In another embodiment, the monitoring terminal that is not registered with the management center may also request the preset information from the management center, in this case, the system may further include a distribution server, in this case:
the method comprises the steps that a distribution server obtains an information obtaining request transmitted by a monitoring terminal, wherein the information obtaining request comprises a network address range of a preset geographic area and the current geographic position of the monitoring terminal;
the distribution server searches for at least one background server with a network address located in the network address range of the preset geographic area; acquiring at least one target background server in an accessible state from the at least one background server, and distributing a server identifier for each target background server; transmitting the server identification of at least one target background server to the monitoring terminal for selection by a user of the monitoring terminal; the monitoring terminal receives a server identification selected by a user, the selected server identification is sent to a distribution server, the distribution server searches background server information matched with the server identification in a prestored information base according to the selected server identification, a network address range corresponding to each geographical area and all background server information belonging to each network address range are stored in the information base, and the background server information comprises the network address of the background server, the server identification, state information and geographical area information of the monitoring terminal which is allowed to access the background server; judging whether the current geographic position of the monitoring terminal is located in a geographic area of the monitoring terminal which allows the access of the matched background server, and if not, returning a notification of forbidding the access to the monitoring terminal; if so, acquiring the network address of the matched background server and sending the network address to the monitoring terminal, and establishing the connection between the matched background server and the monitoring terminal.
After the connection between the matched management center and the monitoring terminal is established, the information transmission between the matched management center and the monitoring terminal can be realized. The technical scheme can facilitate personnel to obtain the management center which is required to be accessed and is not registered through the monitoring terminal, and the personnel can access the management center under the permission of the management center, thereby ensuring the information security.
The establishment of the connection between the matching management center (hereinafter referred to as the management center) and the monitoring terminal may be implemented as follows:
when the monitoring terminal registers to the transfer server, the transfer server and the monitoring terminal perform authentication and key agreement, and respectively generate authentication information for establishing a security channel for the management center and the monitoring terminal; after the authentication information is generated, the transit server and the monitoring terminal respectively store the generated authentication information; the generation of the authentication information can be realized by adopting the prior art, and is not described in detail herein. The transfer server positions a management server of the monitoring terminal; the method of the transit server locating the management server may be obtained based on address information of the management server provided by the monitoring terminal in the transit server. The transfer server sends the generated authentication information and the identification of the monitoring terminal to a management server through a secure channel; when the monitoring terminal sends a data acquisition request to the management center within a preset time, the management center initiates inquiry to the management server to acquire the state of the monitoring terminal; if the monitoring terminal is in a login state, the management server returns an identifier of the monitoring terminal and authentication information required by the monitoring terminal and the management center for establishing a safety channel besides returning the state of the monitoring terminal to the management center;
if the monitoring terminal is not logged in, the management center sends a first request message for requesting the monitoring terminal to log in to the management server, wherein the first request message comprises the identifier of the monitoring terminal and the identifier of the management center;
the management server sends a first request message to the transfer server through the secure channel;
the transfer server sends a first request message to the mobile equipment where the monitoring terminal is located;
when the mobile equipment receives the first request message, starting the monitoring terminal and sending a second request message to the monitoring terminal, wherein the second request message comprises the identification of the management center;
after receiving the second request message, the monitoring terminal, according to the identifier of the management center in the second request message,
judging whether the identification of the management center of the receiving party corresponding to the data acquisition request sent by the monitoring terminal is consistent with the identification of the management center in the second request message or not; when the network channels are consistent, a network channel from the monitoring terminal to the management center is established;
the monitoring terminal and the management center perform mutual authentication on the monitoring terminal and the management center based on the authentication information, and after the authentication is passed, end-to-end data security transmission connection between the monitoring terminal and the management center is formed.
The method for establishing the data security transmission connection can improve the security of information transmission between the monitoring terminal and the management center.
After establishing data security transmission connection, the management center encrypts preset information according to network transmission configuration information to obtain encrypted data, wherein the network transmission configuration information is used for carrying out encryption classification on the network data and configuring security strategies;
the management center sends the encrypted data to the monitoring terminal through data security transmission connection; and the monitoring terminal decrypts the encrypted data after receiving the encrypted data to obtain preset information. The transmission safety of the preset information is improved.
In one embodiment, a VR headset, as shown in fig. 7, includes an arcuate display 71, the arcuate display 71 including an adjacent display layer 711 and a suction layer 712; the absorption layer 712 is provided with a plurality of projection devices 72 and a broadcaster 73, the projection angle of the projection device 72 is perpendicular to the display layer 711, and the absorption layer 712 is provided with holes corresponding to the projection positions of the projection devices 72; the display layer 711 is used for receiving information projected by the projection device 72 and displaying the projected information to a user, and the suction layer 712 is adhered to the back of the display layer 711; a fixed clamping plate is arranged on the inner side and the outer side of the absorption layer 712, and the projection device 72 and the broadcaster 73 are arranged between the clamping plates on the inner side and the outer side; the outer side of the arc display device 71 is provided with a sound insulation layer;
the projection apparatus 72 is a laser projector including a base 721, a light emitter 722, a control center 723, a transmissive device 724, and a diffractive device 725; the diffraction device 725 is mounted on the base 721 at a first distance; light emitter 722 is disposed on base 721 toward the end of diffractive device 725; a transmission device 724 is installed between the base 721 and the diffraction device 725; the light emitter 722 is controlled by the control center 723 to emit laser light; the transmissive device 724 is used for focus-correcting the laser light emitted from the light emitter 722, and the transmissive device 724 has a plurality of different focal lengths spaced apart from the light emitter 722 by a second distance; a diffraction device 725 for transmitting the laser light focused and corrected by the transmission device 724 toward the display layer 711;
the plurality of projection devices are disposed on the suction layer 712, and transmit projection information to the display layer 711 in an arc shape.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A body detection system for assisting pulse taking, comprising:
the physiological index detection equipment is used for detecting the physiological index of the user according to a preset detection period to obtain a detection result corresponding to each detection period;
the management center is used for analyzing whether each physiological index in the detection result corresponding to each detection period falls into a preset physiological index or not; when a physiological index which does not fall into a preset physiological index exists, sending the physiological index which does not fall into the preset physiological index, a detection cycle identifier corresponding to the physiological index and a detection result to a monitoring terminal and a doctor end for displaying; the management center comprises a plurality of management centers, the monitoring terminals comprise a plurality of monitoring terminals, and when the monitoring terminals are application programs, each management center in the management centers is responsible for information transmission with the monitoring terminals registered in each management center;
the VR helmet is worn by the user and has a remote video call function;
the doctor end is used for establishing remote video call connection with the VR helmet so as to realize video call between a doctor and a user;
the VR helmet is also used for recording the video call content between the VR helmet and a doctor end and sending the recording result to the management center for storage;
the management center is further used for analyzing the disease potential risk of the user according to the detection result corresponding to each detection period and a preset disease diagnosis model;
analyzing the disease potential risk of the user according to the detection result corresponding to each detection period and a preset disease diagnosis model, wherein the analysis comprises the following steps:
step 1: acquiring detection results corresponding to N1 continuous detection periods from the physiological index detection equipment to obtain N1 detection results; determining whether the N1 is equal to or greater than N; if yes, continuing to step 2; otherwise, ending the flow;
step 2: determining the number of a first group of detection results of which the blood pressure value is greater than a preset blood pressure value from the N1 detection results; continuing to step 3 when the number of the first set of detection results is equal to or greater than N2; when the number of the first group of detection results is less than N2, deleting the N1 detection results, and reusing the physiological index detection equipment for detection;
and step 3: when the number of the first group of detection results is equal to or larger than N2, judging whether the detection period corresponding to each detection result in the first group of detection results is adjacent; when not adjacent, returning to the step 1; when adjacent, continuing to step 4;
and 4, step 4: when the detection periods corresponding to each detection result in the first group of detection results are adjacent, determining the number of the second group of detection results when the organ of the user is in the sub-health state according to the N1 detection results; judging whether the number of the second group of detection results is equal to or larger than N3; when the number of the second group of detection results is equal to or greater than N3, recording the first organ in the sub-health state, and continuing to the step 5;
and 5: determining a second organ with a blood oxygen value equal to or less than a preset blood oxygen value from the N1 test results; judging the number of detection results that the blood oxygen value of the second organ is equal to or less than a preset blood oxygen value; when the number is equal to or greater than N4, recording a second organ, and continuing with step 6; when the number is less than N4 and greater than 1, returning to the step 1; when the number is equal to 0, ending the flow;
step 6: and taking the first organ, the second organ, the first group of detection results and the second group of detection results as a basis for judging whether the user has a potential disease risk, analyzing the potential disease risk of the user by combining a preset disease diagnosis model, and generating an analysis report.
2. The system of claim 1,
the physiological index detection equipment also comprises a heart rate detection device;
the heart rate detection device comprises a asystole monitoring module and a heart rate sensing module;
the asystole monitoring module comprises a timing unit, a first comparison unit and a second comparison unit;
the first comparison unit receives heart rate data of a user transmitted by the heart rate sensing module and transmits a time recording instruction to the timing unit;
the timing unit receives the time recording instruction, initializes the time to zero and starts timing, and transmits a comparison instruction to the second comparison unit;
the second comparison unit receives the comparison instruction, dynamically compares the time recorded by the timing unit with a preset time threshold, stops comparison when the time recorded by the timing unit is greater than the preset time threshold, sends the asystole information to the server and triggers the alarm device;
the heart rate detection device also comprises an alarm device which is used for carrying out sound-light alarm when the heart rate detection device detects the abnormal state of asystole; the alarm device comprises a buzzer;
the physiological index detection device also comprises a temperature detection device;
the temperature detection device comprises a thermistor sensing module which is arranged at the bottom of the pulse sensing device and used for collecting the body temperature when a user is subjected to pulse taking.
3. The system of claim 1,
the physiological index detection equipment comprises a bracelet, wherein a physiological index detection assembly is arranged on the bracelet, and the physiological index detection assembly comprises any one or more of a heart rate detection assembly, a pulse detection assembly, a blood oxygen value detection assembly and a blood pressure detection assembly.
4. The system of claim 1,
the preset disease diagnosis model at least comprises a value range of physiological indexes of preset organs of potential disease patients;
the step 6 includes:
judging whether the first organ and the second organ contain the preset organ or not;
when the first organ and the second organ contain the preset organ, judging whether the physiological index corresponding to the first organ in the first group of detection results is located in a value range of the physiological index corresponding to the first organ and judging whether the physiological index corresponding to the second organ in the second group of detection results is located in a value range of the physiological index corresponding to the second organ; when the two judgment results are yes, generating a report that the user is a potential disease patient; when at least one of the two judgment results is negative, generating a report that the user is not a potential disease patient;
generating a report that the user is not a potential patient for disease when the predetermined organ is not included in the first and second organs.
5. The system of claim 1,
the system also comprises a user information acquisition module for acquiring user information of the user, wherein the user information comprises gender and age;
the management center is further configured to send the user information of the user, the physiological index that does not fall within the preset physiological index, and the detection cycle identifier and the detection result corresponding to the physiological index to the monitoring terminal.
6. The system of claim 5,
the management center analyzes the potential risks of the diseases of the user according to the detection result corresponding to each detection period and a preset disease diagnosis model, and the method comprises the following steps:
the management center acquires a matching model matched with the gender and the age of the user from a preset disease diagnosis model according to the gender and the age of the user;
and analyzing the disease potential risk of the user according to the detection result corresponding to each detection period and the matching model.
7. The system of claim 1 or 2, further comprising:
the client is in communication connection with the management center and used for acquiring an analysis result obtained after the management center analyzes the disease potential risk of the user and displaying the analysis result to the user;
the management center is further configured to send an analysis result to the client when the analysis result obtained after the analysis of the disease potential risk of the user is a preset result;
the user working time acquisition module is used for acquiring the working time of the user in each detection period;
and the server is also used for analyzing the disease potential risk of the user according to the detection result corresponding to each detection period, the working time of the user in each detection period and a preset disease diagnosis model.
8. The system of claim 1 or 2,
the system further comprises:
the intelligent pulse diagnosis device comprises a pulse diagnosis device 21 and a controller 24, wherein the pulse diagnosis device 21 is connected with the controller 24 through a catheter 22 and a lead 23; the pulse diagnosis device 21 comprises a supporting device 25, a pulse detection device 26 is arranged on a beam of the supporting device 25, and the pulse detection device 26 is arranged on the beam;
the pulse detection device 26 comprises a pulse detection device shell 27, adjusting bolts 28 are symmetrically arranged on two sides of the top end of the pulse detection device shell 27, an air inlet 29 and an air outlet 210 of a guide pipe 22 are arranged at the left end of the pulse detection device shell 27, a sealing shell 211 is arranged in the pulse detection device 26, the sealing shell 211 is connected with the guide pipe 22 through the air inlet 29 and the air outlet 210, a lifting device 212 is arranged in the sealing shell 211, elastic plugs 213 are symmetrically arranged at the left end and the right end of the lifting device 212, a spring body 214 is arranged on the upper side of the bottom of the sealing shell 211 and connected with the lifting device 212, the spring body 214 is used for supporting and resetting the lifting device 212, the lower end of the lifting device 212 is connected with a lifting frame 215, the lifting frame 215 is driven by the lifting device 212 to lift, a pressure sensing device 216 is arranged between the lifting frame 212 and the lifting frame, the pressure sensing device 216 is connected with the controller 24 through a lead; the bottom of the supporting device is provided with a sucker 217; the supporting device 25 is provided with a height adjusting device 218 for controlling and adjusting the lifting of the supporting rod 219.
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Families Citing this family (3)
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| TWI693062B (en) * | 2019-04-25 | 2020-05-11 | 緯創資通股份有限公司 | Method and electronic device for predicting sudden drop in blood pressure |
| CN110211688A (en) * | 2019-06-19 | 2019-09-06 | 上海国民集团健康科技有限公司 | A kind of pulse-tracing collection processing system, method, computer equipment and storage medium |
| CN112006669B (en) * | 2020-08-19 | 2021-06-04 | 北京雪扬科技有限公司 | Blood pressure meter based on double-channel calculation method of blood pressure measurement model |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101346931A (en) * | 2005-12-22 | 2009-01-14 | 安讯士有限公司 | Monitoring system and method for connecting a monitoring device to a service server |
| CN102043893A (en) * | 2009-10-13 | 2011-05-04 | 北京大学 | Disease pre-warning method and system |
| CN103565428A (en) * | 2012-07-18 | 2014-02-12 | 株式会社日立制作所 | Pulse detecting device and method |
| CN103932696A (en) * | 2014-04-18 | 2014-07-23 | 赵小英 | Multifunctional health status detection method and system |
| CN105979006A (en) * | 2016-06-30 | 2016-09-28 | 河海大学常州校区 | Community intelligent physical examination service system and working method thereof |
| CN107705826A (en) * | 2017-09-30 | 2018-02-16 | 深圳前海卓岳科技发展有限公司 | A kind of virtual clinic system based on VR |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8346332B2 (en) * | 2009-06-10 | 2013-01-01 | Medtronic, Inc. | Absolute calibrated tissue oxygen saturation and total hemoglobin volume fraction |
| US8948832B2 (en) * | 2012-06-22 | 2015-02-03 | Fitbit, Inc. | Wearable heart rate monitor |
| CN103876711B (en) * | 2014-03-27 | 2016-06-01 | 北京圣博亚科技有限公司 | Wearable electronic and measuring of human health management system |
| CN105615860A (en) * | 2014-11-05 | 2016-06-01 | 淄博海飒智能光电科技有限公司 | Intelligent monitoring wristwatch for safety and health of old people |
| CN105975773A (en) * | 2016-05-05 | 2016-09-28 | 武汉哈福科技有限公司 | Chronic disease health management system and method |
| CN106529125A (en) * | 2016-10-20 | 2017-03-22 | 山东中创软件工程股份有限公司 | Remote diagnosis system |
-
2018
- 2018-10-30 CN CN201811282314.XA patent/CN109273083B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101346931A (en) * | 2005-12-22 | 2009-01-14 | 安讯士有限公司 | Monitoring system and method for connecting a monitoring device to a service server |
| CN102043893A (en) * | 2009-10-13 | 2011-05-04 | 北京大学 | Disease pre-warning method and system |
| CN103565428A (en) * | 2012-07-18 | 2014-02-12 | 株式会社日立制作所 | Pulse detecting device and method |
| CN103932696A (en) * | 2014-04-18 | 2014-07-23 | 赵小英 | Multifunctional health status detection method and system |
| CN105979006A (en) * | 2016-06-30 | 2016-09-28 | 河海大学常州校区 | Community intelligent physical examination service system and working method thereof |
| CN107705826A (en) * | 2017-09-30 | 2018-02-16 | 深圳前海卓岳科技发展有限公司 | A kind of virtual clinic system based on VR |
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