[go: up one dir, main page]

CN108378846A - Based on binary channels brain electric detection method and device - Google Patents

Based on binary channels brain electric detection method and device Download PDF

Info

Publication number
CN108378846A
CN108378846A CN201810128335.XA CN201810128335A CN108378846A CN 108378846 A CN108378846 A CN 108378846A CN 201810128335 A CN201810128335 A CN 201810128335A CN 108378846 A CN108378846 A CN 108378846A
Authority
CN
China
Prior art keywords
brain
data
eeg
binary channels
brain electricity
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810128335.XA
Other languages
Chinese (zh)
Inventor
吕力超
邱永庭
李超
杨丽丽
蒋世平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHENZHEN MACROTELLECT TECHNOLOGY Co Ltd
Original Assignee
SHENZHEN MACROTELLECT TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHENZHEN MACROTELLECT TECHNOLOGY Co Ltd filed Critical SHENZHEN MACROTELLECT TECHNOLOGY Co Ltd
Priority to CN201810128335.XA priority Critical patent/CN108378846A/en
Publication of CN108378846A publication Critical patent/CN108378846A/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Psychiatry (AREA)
  • Psychology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The present invention discloses one kind and being based on binary channels brain electric detection method and device, and this method includes:Using the brain electricity initial data of the right brain of the left brain of double channels acquisition;Analog-digital Converter is carried out to the eeg data, obtains the original AD data of brain electricity;The original AD data of brain electricity are subjected to data protocol packing, obtain brain electricity raw data packets;The time-domain information of the brain electricity raw data packets is converted into frequency domain information by fft algorithm.The eeg data that the eeg data of double channels acquisition acquires for single channel is more accurate, reduce the noise jamming in detection process as best one can, and double-channel data is carried out at the same time FFT processing, more accurate brain wave frequency domain information is obtained, achievees the purpose that the situation of change of accurate check and evaluation human brain.

Description

Based on binary channels brain electric detection method and device
Technical field
The present invention relates to brain wave detection technique fields, more particularly to one kind being based on binary channels brain electric detection method and dress It sets.
Background technology
From the twenties in 19th century Hans Berger laboratory for the first time obtain EEG signals since, people start The exploration of EEG signals., can not the collected EEG signals of accurate recording due to the shortage of experimental provision at that time so that study into Exhibition is very slow.
1958, American scholar Dawson developed a kind of electromechanical processing dress for average instantaneous brain evoked potential It sets, has started new era of EEG signals recording technique.Computer technology, cognitive psychology, Neuscience and biology techniques The research of the continuous development of research, EEG signals is more and more ripe.The port number for being presently used for clinical medicine diagnosis is generally 32 It leads or 64 leads.Brain electric installation for research field has at most accomplished that 512 lead.EEG signals are very faint, and general only 50 is micro- Volt left and right, amplitude range are the microvolt of 5 microvolts~100, and frequency range is generally in 0.5~35Hz.The acquisition of EEG signals is mainly deposited In the background interference of the noises such as 50Hz common-mode signals, polarizing voltage, physiological signal, Acquisition Circuit to have high cmrr, The characteristics such as low noise, while also EEG signals are filtered.
EEG signals application is very wide, and main application direction has medical diagnosis, psychological condition monitoring, motor function health Multiple, equipment control, child attention training etc..In domestic EEG signals research starting evening, the product of electroencephalogramsignal signal collection equipment is very Few, application range is mainly medical diagnosis.
With the continuous development of electronic technology, the update of electronic product is maked rapid progress, and brain electricity product is exactly that these are emerging One of electronic product.The brain wave EEG of human brain can reflect that the wave band of brain wave situation mainly has between 0-30HZ This five wave bands of alpha, theta, delta, lowbeta and highbeta.Currently, existing brain electric detection method is usually all Single channel only detects the brain wave of unilateral brain, can not accurately detect the situation of change of assessment human brain.
In view of this, it is necessary to which current brain wave detection technique is further improved in proposition.
Invention content
To solve an above-mentioned at least technical problem, the main object of the present invention is to provide a kind of based on binary channels brain electro-detection Method and device.
To achieve the above object, one aspect of the present invention is:It provides a kind of based on binary channels brain electro-detection Method, it is described to include based on binary channels brain electric detection method:
Using the brain electricity initial data of the right brain of the left brain of double channels acquisition;
Analog-digital Converter is carried out to the eeg data, obtains the original AD data of brain electricity;
The original AD data of brain electricity are subjected to data protocol packing, obtain brain electricity raw data packets;
The time-domain information of the brain electricity raw data packets is converted into frequency domain information by fft algorithm.
Wherein, the step of brain electricity initial data using the right brain of the left brain of double channels acquisition, specifically includes:
The eeg data of the right brain of left brain is acquired by the dry electrode of double-contact;
The eeg data is amplified processing by instrument amplification module, wherein the instrument amplification module also wraps Include right leg drive module;
Amplified eeg data is filtered by filter.
Wherein, the brain electricity raw data packets specifically include:
Data packet head, left brain data value, right brain data value and detecting state.
Wherein, described that the original AD data of brain electricity are subjected to data protocol packing, obtain the step of brain electricity raw data packets Further include after rapid:
The brain electricity raw data packets are sent to application layer.
Wherein, according to the step that the time-domain information of the brain electricity raw data packets is converted into frequency domain information by fft algorithm Suddenly, further include later:
Interval division is carried out to brain wave wave band according to the frequency domain information and obtains brain wave band value.
To achieve the above object, another technical solution used in the present invention is:It provides a kind of based on binary channels brain electric-examination Device is surveyed, it is described to include based on binary channels EEG checking device:
Acquisition module, for the brain electricity initial data using the right brain of the left brain of double channels acquisition;
Analog-to-digital conversion module obtains the original AD data of brain electricity for carrying out Analog-digital Converter to the eeg data;
Packetization module obtains brain electricity raw data packets for the original AD data of brain electricity to be carried out data protocol packing;
FFT module, for the time-domain information of the brain electricity raw data packets to be converted into frequency domain information by fft algorithm.
Wherein, the acquisition module is specifically used for:
The eeg data of the right brain of left brain is acquired by the dry electrode of double-contact;
The eeg data is amplified processing by instrument amplification module, wherein the instrument amplification module also wraps Include right leg drive module;
Amplified eeg data is filtered by filter.
Wherein, the brain electricity raw data packets specifically include:
Data packet head, left brain data value, right brain data value and detecting state.
Wherein, described to further include based on binary channels EEG checking device:
Sending module, for the brain electricity raw data packets to be sent to application layer.
Wherein, further include based on binary channels EEG checking device:
Interval division module obtains brain wave wave for carrying out interval division to brain wave wave band according to the frequency domain information Segment value.
Technical scheme of the present invention provides one kind and being based on binary channels brain electric detection method first, using the left brain of double channels acquisition The brain electricity initial data of right brain;Then, Analog-digital Converter is carried out to the eeg data;Again by the original AD data of brain electricity Data protocol packing is carried out, and the time-domain information of the brain electricity raw data packets is converted by frequency domain information by fft algorithm.It is double The eeg data that the eeg data of channel acquisition acquires for single channel is more accurate, reduces detection process as best one can In noise jamming, and double-channel data is carried out at the same time FFT processing, obtains more accurate brain wave frequency domain information, reach To the purpose of the situation of change of accurate check and evaluation human brain.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with The structure shown according to these attached drawings obtains other attached drawings.
Fig. 1 is method flow diagram of the one embodiment of the invention based on binary channels brain electric detection method;
Fig. 2 is the particular flow sheet of step S100 in Fig. 1;
Fig. 3 is fft algorithm flow diagram of the one embodiment of the invention based on binary channels brain electric detection method;
Fig. 4 is block diagram of the one embodiment of the invention based on binary channels EEG checking device;
Fig. 5 is block diagram of the one embodiment of the invention based on binary channels EEG checking device.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation describes, it is clear that described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Base Embodiment in the present invention, those of ordinary skill in the art obtained without creative efforts it is all its His embodiment, shall fall within the protection scope of the present invention.
It is to be appreciated that the description of " first ", " second " etc. is used for description purposes only involved in the present invention, and should not be understood as It indicates or implies its relative importance or implicitly indicate the quantity of indicated technical characteristic.Define as a result, " first ", The feature of " second " can explicitly or implicitly include at least one of the features.In addition, the technical side between each embodiment Case can be combined with each other, but must can be implemented as basis with those of ordinary skill in the art, when the combination of technical solution Conflicting or cannot achieve when occur will be understood that the combination of this technical solution is not present, also not the present invention claims guarantor Within the scope of shield.
Fig. 1 is please referred to, in embodiments of the present invention, should be included the following steps based on binary channels brain electric detection method:
S100, using the brain electricity initial data of the right brain of the left brain of double channels acquisition;
S200, Analog-digital Converter is carried out to the eeg data, obtains the original AD data of brain electricity;
S300, the original AD data of brain electricity are subjected to data protocol packing, obtain brain electricity raw data packets;
S500, the time-domain information of the brain electricity raw data packets is converted by frequency domain information by fft algorithm.
In above-described embodiment, specifically, brain electrical chip uses the brain electricity initial data of the right brain of the left brain of double channels acquisition, brain electricity Chip is responsible for acquiring original eeg data, eeg data is amplified 1100 times of voltage resolutions that reaches MCU and can identify, then The original AD data values of acquisition are carried out to the packing of data protocol, the frequency for then handling to the end by fft algorithm by MCU Domain brain wave data.
In a specific embodiment, further include after the step S300:
S400, the brain electricity raw data packets are sent to application layer.
Specifically, E.E.G chip acquires the AD values of original brain wave, then by the original AD data values of acquisition by MCU into The packing of row data protocol is transmitted across application layer finally by Bluetooth protocol and carries out the frequency domain brain that fft algorithm handles to the end Wave number evidence.The present embodiment realizes application layer can observe the variation of brain wave wave band in real time.
In a specific embodiment, the brain electricity raw data packets specifically include:
Data packet head, left brain data value, right brain data value and detecting state.
Specifically, by the original eeg data of acquisition carry out protocol packing, 256 data packets of transmissions per second, each wrap by Data packet head+data value+wearing state composition.
Such as:The group each wrapped becomes A55A02FE 024D 05 (04), and wherein A55A is data packet head, and 02FE is a left side The data value of brain, 024D are the data value of right brain, and 05 representative is worn successfully, and 04, which represents wearing, does not succeed.
In a specific embodiment, according to step S500, further include later:
S600, brain wave band value is obtained to brain wave wave band progress interval division according to the frequency domain information.
Specifically, with reference to figure 3, the fft algorithm of application layer is handled, by the original AD data values of acquisition by FFT transform at The energy level of frequency domain takes the 0 E.E.G section for arriving 30HZ.Brain electrical chip 256 data values of transmission per second, when transmit two seconds after FFT transform, to which the resolution ratio of frequency domain is 0.5HZ.By the conversion of real-time time domain to frequency domain, EEG wave bands can be obtained Brain wave data value, and reflect the situation of change of E.E.G frequency domain at this time in real time, according to delta, theta, alpha, lowbeta and The data value of highbeta and the function in conjunction with needed for brain electricity scientific definition.
δ waves are that frequency is 1~3Hz, and amplitude is 20~200 μ V.When people is infancy or intellectual development be immature, adult Under extremely tired and lethargic sleep or narcosis, this wave band can be recorded in temporal lobe and top.
θ waves are that frequency is 4~7Hz, and amplitude is 5~20 μ V.Adult's wish baffle or depression and cyclothymic This wave is extremely notable in person.But the main component in the electroencephalogram that this wave is juvenile (10-17 Sui).
α waves are that frequency is 8~13Hz (average 10Hz), and amplitude is 20~100 μ V.It is the base of normal brain electric wave This rhythm and pace of moving things, if not additional stimulation, frequency is fairly constant.People is awake, quiet and the rhythm and pace of moving things is the most when closing one's eyes Obviously, it opens eyes (by light stimulus) or when receiving other stimulations, α waves disappear at once.
β waves are that frequency is 14~30Hz, and amplitude is 100~150 μ V.Occur when nervous and excited or excited This wave, when people wakes from a nightmare with a start, the slow wave rhythm and pace of moving things originally can be substituted by the rhythm and pace of moving things immediately.
When people is in a cheerful frame of mind or quiet think of is meditated, β waves excited always, δ waves or θ waves are this moment weak gets off, α waves come relatively It says and is strengthened.Because this waveform is closest to the brain electricity biological rhythm of right brain, then the inspiration state of people there have been.
To sum up, provided in this embodiment to be based on binary channels brain electric detection method first, using the right brain of the left brain of double channels acquisition Brain electricity initial data;Then, Analog-digital Converter is carried out to the eeg data;The original AD data of brain electricity are carried out again Data protocol is packaged, and the time-domain information of the brain electricity raw data packets is converted into frequency domain information by fft algorithm.Binary channels The eeg data that the eeg data of acquisition acquires for single channel is more accurate, reduces in detection process as best one can Noise jamming, and double-channel data is carried out at the same time FFT processing, more accurate brain wave frequency domain information is obtained, essence is reached The purpose of the situation of change of true check and evaluation human brain.
With reference to figure 2, present embodiments provides one kind and being based on binary channels brain electric detection method, the step S100 is specifically wrapped It includes:
S101, the eeg data that the right brain of left brain is acquired by the dry electrode of double-contact;
S102, the eeg data is amplified by processing by instrument amplification module, wherein the instrument amplification module It further include right leg drive module;
S103, amplified eeg data is filtered by filter.
In the present embodiment, the instrument amplification module includes instrument amplifier and driven-right-leg circuit.Instrument is amplified Device is a kind of precision differential voltage amplifier, it is derived from operational amplifier, and is better than operational amplifier.Instrument amplifier is crucial Element is integrated in inside amplifier, it has high cmrr, high input impedance, low noise, low linearity error, low imbalance drift Move the features such as gain setting is flexible and easy to use.Instrument amplifier is a kind of single-ended defeated with Differential Input and opposite reference edge The closed loop gain component gone out, the Single-end output with Differential Input and opposite reference edge.It is a difference in that fortune with operational amplifier The closed loop gain for calculating amplifier is to be determined by the non-essential resistance connected between inverting input and output end, and instrument amplifier is then Use the internal feedback resistor network being isolated with input terminal.
Wherein, driven-right-leg circuit is commonly used in bio-signals amplifier, to reduce common mode interference.Since electroencephalogram is sent out Electronic signal it is very small, usually only several microvolts, and due to the body of patient can also be used as antenna can be by electromagnetism Interference, the bio signal that this interference may be covered so that signal is difficult to measure.It therefore, can be by adding right leg drive Circuit is used for eliminating interference noise.
Wherein, being filtered to amplified eeg data by filter specially uses low-pass filter to carry out Low-pass filtering.
The method of double channels acquisition eeg data in above-described embodiment may be implemented accurately to detect faint brain telecommunications Number, eliminate interference noise.
Fig. 4 is please referred to, in an embodiment of the present invention, which is based on binary channels EEG checking device, described based on double Channel EEG checking device includes:
Acquisition module 100, for the brain electricity initial data using the right brain of the left brain of double channels acquisition;
Analog-to-digital conversion module 200 obtains the original AD numbers of brain electricity for carrying out Analog-digital Converter to the eeg data According to;
Packetization module 300 obtains brain electricity initial data for the original AD data of brain electricity to be carried out data protocol packing Packet;
FFT module 500, for the time-domain information of the brain electricity raw data packets to be converted into frequency domain letter by fft algorithm Breath.
In one embodiment, the acquisition module 100 is specifically used for:
The eeg data of the right brain of left brain is acquired by the dry electrode of double-contact;
The eeg data is amplified processing by instrument amplification module, wherein the instrument amplification module also wraps Include right leg drive module;
Amplified eeg data is filtered by filter.
Specific embodiment, which is shown in the above method, accordingly to be described.
In one embodiment, the brain electricity raw data packets specifically include:
Data packet head, left brain data value, right brain data value and detecting state.Specific embodiment is shown in corresponding in the above method Description.
It is in one embodiment, described to further include based on binary channels EEG checking device with reference to figure 5:
Sending module 400, for the brain electricity raw data packets to be sent to application layer.
In the present embodiment, the brain electricity raw data packets are sent to application layer by sending module 400 by Bluetooth protocol.It is real The variation that application layer can observe brain wave wave band in real time is showed.
In one embodiment, further include based on binary channels EEG checking device:
Interval division module 600 obtains brain electricity for carrying out interval division to brain wave wave band according to the frequency domain information Wave band value.
In the present embodiment, the interval division module 600 is specifically used for judging each brain wave according to brain wave frequency domain information Section whether there is, by corresponding wave band come the situation of change of check and evaluation human brain.
It to sum up, should be right using the left brain of double channels acquisition by acquisition module 100 based on binary channels EEG checking device first The brain electricity initial data of brain;Then, analog-to-digital conversion module 200 carries out Analog-digital Converter to the eeg data;Packetization module The original AD data of brain electricity are carried out data protocol packing by 300 again, and FFT module 500 is original by the brain electricity by fft algorithm The time-domain information of data packet is converted into frequency domain information.The brain electricity that the eeg data of double channels acquisition acquires for single channel Data are more accurate, reduce the noise jamming in detection process as best one can, and double-channel data is carried out at the same time at FFT Reason, obtains more accurate brain wave frequency domain information, achievees the purpose that the situation of change of accurate check and evaluation human brain.
The foregoing is merely the preferred embodiment of the present invention, are not intended to limit the scope of the invention, every at this Under the inventive concept of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/use indirectly In the scope of patent protection that other related technical areas are included in the present invention.

Claims (10)

1. one kind being based on binary channels brain electric detection method, which is characterized in that described to include based on binary channels brain electric detection method:
Using the brain electricity initial data of the right brain of the left brain of double channels acquisition;
Analog-digital Converter is carried out to the eeg data, obtains the original AD data of brain electricity;
The original AD data of brain electricity are subjected to data protocol packing, obtain brain electricity raw data packets;
The time-domain information of the brain electricity raw data packets is converted into frequency domain information by fft algorithm.
2. being based on binary channels brain electric detection method as described in claim 1, which is characterized in that described left using double channels acquisition It the step of brain electricity initial data of the right brain of brain, specifically includes:
The eeg data of the right brain of left brain is acquired by the dry electrode of double-contact;
The eeg data is amplified processing by instrument amplification module, wherein the instrument amplification module further includes the right side Leg drive module;
Amplified eeg data is filtered by filter.
3. being based on binary channels brain electric detection method as claimed in claim 2, which is characterized in that the brain electricity raw data packets tool Body includes:
Data packet head, left brain data value, right brain data value and detecting state.
4. being based on binary channels brain electric detection method as claimed in claim 3, which is characterized in that described by the original AD of brain electricity Data carry out data protocol packing, further include after the step of obtaining brain electricity raw data packets:
The brain electricity raw data packets are sent to application layer.
5. being based on binary channels brain electric detection method as claimed in claim 4, which is characterized in that according to by fft algorithm by institute The step of time-domain informations of brain electricity raw data packets is converted into frequency domain information is stated, further includes later:
Interval division is carried out to brain wave wave band according to the frequency domain information and obtains brain wave band value.
6. one kind being based on binary channels EEG checking device, which is characterized in that described to include based on binary channels EEG checking device:
Acquisition module, for the brain electricity initial data using the right brain of the left brain of double channels acquisition;
Analog-to-digital conversion module obtains the original AD data of brain electricity for carrying out Analog-digital Converter to the eeg data;
Packetization module obtains brain electricity raw data packets for the original AD data of brain electricity to be carried out data protocol packing;
FFT module, for the time-domain information of the brain electricity raw data packets to be converted into frequency domain information by fft algorithm.
7. being based on binary channels EEG checking device as claimed in claim 6, which is characterized in that the acquisition module is specifically used In:
The eeg data of the right brain of left brain is acquired by the dry electrode of double-contact;
The eeg data is amplified processing by instrument amplification module, wherein the instrument amplification module further includes the right side Leg drive module;
Amplified eeg data is filtered by filter.
8. being based on binary channels EEG checking device as claimed in claim 7, which is characterized in that the brain electricity raw data packets tool Body includes:
Data packet head, left brain data value, right brain data value and detecting state.
9. being based on binary channels EEG checking device as claimed in claim 8, which is characterized in that described to be based on binary channels brain electric-examination Surveying device further includes:
Sending module, for the brain electricity raw data packets to be sent to application layer.
10. being based on binary channels EEG checking device as claimed in claim 9, which is characterized in that be based on binary channels brain electro-detection Device further includes:
Interval division module obtains brain wave wave band for carrying out interval division to brain wave wave band according to the frequency domain information Value.
CN201810128335.XA 2018-02-08 2018-02-08 Based on binary channels brain electric detection method and device Pending CN108378846A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810128335.XA CN108378846A (en) 2018-02-08 2018-02-08 Based on binary channels brain electric detection method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810128335.XA CN108378846A (en) 2018-02-08 2018-02-08 Based on binary channels brain electric detection method and device

Publications (1)

Publication Number Publication Date
CN108378846A true CN108378846A (en) 2018-08-10

Family

ID=63074594

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810128335.XA Pending CN108378846A (en) 2018-02-08 2018-02-08 Based on binary channels brain electric detection method and device

Country Status (1)

Country Link
CN (1) CN108378846A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109998828A (en) * 2019-04-29 2019-07-12 河南科技大学第一附属医院 Intensive care unit bedside control cabinet
CN112472106A (en) * 2019-09-10 2021-03-12 西安慧脑智能科技有限公司 A method, chip, storage medium and device for analyzing brain electrical signals
CN119375601A (en) * 2024-12-30 2025-01-28 杭州爱华仪器有限公司 A test system and method for an auditory brainstem response measuring instrument

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101273372A (en) * 2005-09-14 2008-09-24 韩国精神科学研究所 Apparatus and method of diagnosing health using cumulative data pattern analysis via fast fourier transformation of brain wave data measured from frontal lobe
CN103169448A (en) * 2011-12-26 2013-06-26 中国移动通信集团公司 Motion sensing net perception terminal system, perception node and perception method
CN203898306U (en) * 2014-06-06 2014-10-29 上海理工大学 Brain wave collecting device based on wireless transmission
US20140336473A1 (en) * 2013-01-24 2014-11-13 Devon Greco Method and Apparatus for Encouraging Physiological Change Through Physiological Control of Wearable Auditory and Visual Interruption Device
CN104644165A (en) * 2015-02-11 2015-05-27 电子科技大学 Wearable electroencephalogram acquisition device
CN105078448A (en) * 2014-05-16 2015-11-25 上海理工大学 Electroencephalogram acquisition and wireless transmission device
US20160081577A1 (en) * 2012-08-09 2016-03-24 Northeastern University Electric field encephalography: electric field based brain signal detection and monitoring
CN105709426A (en) * 2016-04-28 2016-06-29 华南理工大学广州学院 Control method and device for toy racing car
CN105962933A (en) * 2016-05-11 2016-09-28 江苏师范大学 Internet-based dual-channel electroencephalogram (EEG) signal acquisition equipment
CN106507272A (en) * 2016-10-09 2017-03-15 广州创想科技股份有限公司 The broadcasting method and device of the Monitoring Data of bluetooth bracelet
CN106899384A (en) * 2017-01-24 2017-06-27 广东思派康电子科技有限公司 Brain wave acquisition communication system, communication frame generating device and reading device
CN106994013A (en) * 2016-01-22 2017-08-01 周常安 Wearable physiological resonance stimulation system, electrical stimulation device and physiological activity sensing device

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101273372A (en) * 2005-09-14 2008-09-24 韩国精神科学研究所 Apparatus and method of diagnosing health using cumulative data pattern analysis via fast fourier transformation of brain wave data measured from frontal lobe
CN103169448A (en) * 2011-12-26 2013-06-26 中国移动通信集团公司 Motion sensing net perception terminal system, perception node and perception method
US20160081577A1 (en) * 2012-08-09 2016-03-24 Northeastern University Electric field encephalography: electric field based brain signal detection and monitoring
US20140336473A1 (en) * 2013-01-24 2014-11-13 Devon Greco Method and Apparatus for Encouraging Physiological Change Through Physiological Control of Wearable Auditory and Visual Interruption Device
CN105078448A (en) * 2014-05-16 2015-11-25 上海理工大学 Electroencephalogram acquisition and wireless transmission device
CN203898306U (en) * 2014-06-06 2014-10-29 上海理工大学 Brain wave collecting device based on wireless transmission
CN104644165A (en) * 2015-02-11 2015-05-27 电子科技大学 Wearable electroencephalogram acquisition device
CN106994013A (en) * 2016-01-22 2017-08-01 周常安 Wearable physiological resonance stimulation system, electrical stimulation device and physiological activity sensing device
CN105709426A (en) * 2016-04-28 2016-06-29 华南理工大学广州学院 Control method and device for toy racing car
CN105962933A (en) * 2016-05-11 2016-09-28 江苏师范大学 Internet-based dual-channel electroencephalogram (EEG) signal acquisition equipment
CN106507272A (en) * 2016-10-09 2017-03-15 广州创想科技股份有限公司 The broadcasting method and device of the Monitoring Data of bluetooth bracelet
CN106899384A (en) * 2017-01-24 2017-06-27 广东思派康电子科技有限公司 Brain wave acquisition communication system, communication frame generating device and reading device

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109998828A (en) * 2019-04-29 2019-07-12 河南科技大学第一附属医院 Intensive care unit bedside control cabinet
CN109998828B (en) * 2019-04-29 2022-01-28 河南科技大学第一附属医院 Bedside control cabinet of intensive care unit
CN112472106A (en) * 2019-09-10 2021-03-12 西安慧脑智能科技有限公司 A method, chip, storage medium and device for analyzing brain electrical signals
CN119375601A (en) * 2024-12-30 2025-01-28 杭州爱华仪器有限公司 A test system and method for an auditory brainstem response measuring instrument

Similar Documents

Publication Publication Date Title
US8301232B2 (en) Wireless, ultrasonic personal health monitoring system
Choi et al. Development and evaluation of an ambulatory stress monitor based on wearable sensors
Nayak et al. Filtering techniques for ECG signal processing
Matthews et al. A wearable physiological sensor suite for unobtrusive monitoring of physiological and cognitive state
EP2575608B1 (en) Detector for identifying physiological artifacts from physiological signals and method
EP3267880B1 (en) Portable electronic device to process a signal acquired from a living body and method thereof
US20110301439A1 (en) Wireless, ultrasonic personal health monitoring system
EP4154805A1 (en) Apparatus for monitoring heart rate and respiration
Kirst et al. Using DWT for ECG motion artifact reduction with noise-correlating signals
Chokroverty et al. Polysomnographic recording technique
Matthews et al. Novel hybrid bioelectrodes for ambulatory zero-prep EEG measurements using multi-channel wireless EEG system
US9968301B2 (en) Body-driven pseudorandom signal injection for biomedical acquisition channel calibration
CN108378846A (en) Based on binary channels brain electric detection method and device
Morikawa et al. Compact wireless EEG system with active electrodes for daily healthcare monitoring
Liu et al. Flexible non-contact electrodes for bioelectrical signal monitoring
Cho et al. Detection of arousals in patients with respiratory sleep disorders using a single channel EEG
Liu et al. Flexible noncontact electrodes for comfortable monitoring of physiological signals
Nyni et al. Wireless health monitoring system for ECG, EMG and EEG detecting
Nishihara et al. Investigation of optimum electrode locations by using an automatized surface electromyography analysis technique
CN105193410A (en) EEG (electroencephalogram) signal amplifying system
Kew et al. Wearable patch-type ECG using ubiquitous wireless sensor network for healthcare monitoring application
Ng et al. A Versatile and Wireless Multichannel Capacitive EMG Measurement System for Digital Healthcare
Sheeraz et al. A closed-loop ear wearable eeg measurement device with realtime electrode skin impedance measurement
Fauzani et al. Two electrodes system: Performance on ECG FECG and EMG detection
Anas et al. On-line monitoring and analysis of bioelectrical signals

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180810