CN113229827A - Data protection and recovery method for abnormal exit of electroencephalogram measuring instrument - Google Patents
Data protection and recovery method for abnormal exit of electroencephalogram measuring instrument Download PDFInfo
- Publication number
- CN113229827A CN113229827A CN202110478469.6A CN202110478469A CN113229827A CN 113229827 A CN113229827 A CN 113229827A CN 202110478469 A CN202110478469 A CN 202110478469A CN 113229827 A CN113229827 A CN 113229827A
- Authority
- CN
- China
- Prior art keywords
- electroencephalogram
- data
- monitoring
- flag
- electroencephalogram monitoring
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 19
- 238000011084 recovery Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 65
- 238000005070 sampling Methods 0.000 claims description 4
- 238000004070 electrodeposition Methods 0.000 claims description 2
- 238000001914 filtration Methods 0.000 description 7
- 210000004556 brain Anatomy 0.000 description 6
- 238000001514 detection method Methods 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 4
- 238000013523 data management Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 210000004761 scalp Anatomy 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 210000003625 skull Anatomy 0.000 description 1
Images
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a data protection and recovery method aiming at abnormal quitting of an electroencephalogram measuring instrument, wherein a folder File is locally arranged for each electroencephalogram monitoring, the setting data corresponding to the electroencephalogram monitoring is stored, and meanwhile, the time sequence data corresponding to the electroencephalogram monitoring data is stored in real time; the method comprises the following steps that the setting data of electroencephalogram monitoring comprises Flag, Flag = False in the electroencephalogram monitoring process, and Flag = True is set when the electroencephalogram monitoring is normally finished; when the electroencephalogram monitoring is started, firstly detecting a Flag: if Flag = True, it indicates a new electroencephalogram monitoring; and if Flag = False, the former electroencephalogram monitoring is indicated to be abnormally quitted, and the former electroencephalogram monitoring is continued at this time. The method can realize automatic recovery of data only by one label, is simple to realize, hardly occupies system resources, does not influence electroencephalogram monitoring threads, and does not influence other operations.
Description
Technical Field
The invention relates to a data protection and recovery method aiming at abnormal exit of an electroencephalogram measuring instrument, and belongs to a software application management technology in the field of medical instruments.
Background
In the use process of the existing electroencephalogram measuring instrument, data management needs to be carried out through management software, but a management method aiming at abnormal exit does not exist in the existing management software. Due to the problems of software self-generation, hardware failure, abnormal power failure and the like, the computer measuring instrument can be abnormally withdrawn in the using process; because the existing system does not have the functions of automatic recovery and automatic saving, once the abnormal exit occurs, the serious consequences are easily caused: (1) the currently monitored electroencephalogram data is not normally finished, so that the computer data is possibly not correctly stored, cannot be opened at a later stage, and faces the risk of data loss; (2) after the current abnormal condition is over, electroencephalogram monitoring cannot be automatically recovered, if a patient needs to be continuously monitored, manual operation of medical personnel is needed, and the monitoring time blank area is prolonged; (3) the data monitored again cannot be actively associated with the data before the abnormality, and the data stored before and after the abnormality are stored in different files, so that medical staff cannot continuously read the images, and the diagnosis of patients is influenced.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides a data protection and recovery method aiming at abnormal exit of an electroencephalogram measuring instrument, which can realize the protection of the current electroencephalogram data under the condition of hardly occupying system resources and can automatically recover to continuously monitor the previous monitoring under the condition of eliminating the abnormality.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that:
a data protection and recovery method aiming at abnormal quitting of an electroencephalogram measuring instrument is characterized in that a folder File is locally arranged for each electroencephalogram monitoring, setting data corresponding to the electroencephalogram monitoring is stored, and time sequence data corresponding to the electroencephalogram monitoring data are stored in real time; the data set for electroencephalogram monitoring comprises Flag, Flag = False in the electroencephalogram monitoring process, and Flag = True when the electroencephalogram monitoring is normally finished.
Preferably, when the electroencephalogram monitoring is started, the Flag is detected: if Flag = True, a new folder File is locally set, the setting data of the electroencephalogram monitoring is stored, and meanwhile, the time sequence data of the electroencephalogram monitoring data is stored in the folder File in real time; if Flag = False, the latest folder File is called locally, the setting data in the folder File is restored, and meanwhile, the time sequence data of the electroencephalogram monitoring data is continuously stored in the folder File in real time.
Preferably, an electroencephalogram monitor is used for electroencephalogram monitoring, the electroencephalogram monitor comprises an electroencephalogram electrode wire, an electroencephalogram acquisition amplifier and a computer, the electroencephalogram electrode wire is used for monitoring electroencephalogram signals, the electroencephalogram signals are amplified by the electroencephalogram acquisition amplifier and converted into electroencephalogram digital signals and then transmitted to the computer, and a processor of the computer calculates, stores and displays the electroencephalogram digital signals according to setting data; the folder File is stored in the memory of the computer.
The electroencephalogram monitor has the following action principle: the electroencephalogram signal is a weak broadband electrophysiological signal of millivolt (mV) level or microvolt (μ V) level, and after attenuation of the skull and the scalp, the signal recorded on the surface of the scalp is only tens of to hundreds of microvolts generally; the EEG amplifier amplifies the signal by millions of times, performs denoising filtering and analog-to-digital conversion, and conducts the EEG signal to a computer; after receiving the electroencephalogram data, the electroencephalogram measuring instrument software carries out filtering and then converts the electroencephalogram data into correct electroencephalogram values to display, and an electroencephalogram is drawn.
Preferably, the computer adopts a Windows system, a Linux system or the like.
Preferably, the setting data comprises patient registration information and lead information, wherein the lead information comprises sampling frequency and electrode position information; the electroencephalogram monitoring data are displayed on a display in an electroencephalogram form, and the electroencephalogram monitoring data stored in the same File are displayed on the same electroencephalogram.
Has the advantages that: compared with the prior art, the data protection and recovery method for abnormal quitting of the electroencephalograph has the following advantages that: 1. when a user carries out electroencephalogram monitoring, if the software exits abnormally, the user can restart the software without other operations, and the software automatically starts to continue the previous monitoring scheme; 2. when the user plays back the monitoring, the electroencephalograms before and after quitting can be seen continuously, and the monitoring data of two times do not need to be read respectively; 3. the use scene that the patient moving bed and the moving instrument need to pause the monitoring for a short time can be met; 4. the automatic recovery of the data can be realized by only one tag, the realization is simple, the system resource is hardly occupied, the electroencephalogram monitoring thread is not influenced, and other operations are not influenced.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of the present invention;
fig. 2 is a schematic flow chart of an implementation of restoring the setting data.
Detailed Description
The invention is described in detail below with reference to the figures and the embodiments.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
A data protection and recovery method aiming at abnormal quitting of an electroencephalogram measuring instrument is characterized in that a folder File is locally arranged for each electroencephalogram monitoring, setting data corresponding to the electroencephalogram monitoring is stored, and time sequence data corresponding to the electroencephalogram monitoring data are stored in real time; the method comprises the following steps that the setting data of electroencephalogram monitoring comprises Flag, Flag = False in the electroencephalogram monitoring process, and Flag = True is set when the electroencephalogram monitoring is normally finished; when the electroencephalogram monitoring is started, firstly detecting a Flag: if Flag = True, a new folder File is locally set, the setting data of the electroencephalogram monitoring is stored, and meanwhile, the time sequence data of the electroencephalogram monitoring data is stored in the folder File in real time; if Flag = False, the latest folder File is called locally, the setting data in the folder File is restored, and meanwhile, the time sequence data of the electroencephalogram monitoring data is continuously stored in the folder File in real time.
The electroencephalogram monitoring instrument is used for performing electroencephalogram monitoring and comprises an electroencephalogram electrode wire, an electroencephalogram acquisition amplifier and a computer, and has the functions of patient information data management, electroencephalogram data filtering, display, storage and the like; the brain wave signal is amplified by the brain wave acquisition amplifier and converted into a brain wave digital signal and then transmitted to the computer, and the processor of the computer calculates, stores and displays the brain wave digital signal according to the setting data; the folder File is stored in the memory of the computer.
In the prior art, the operation process of the electroencephalogram monitor comprises the following steps:
(1) registering a patient, including filling in the name, bed number, date of birth, etc. of the patient;
(2) starting to monitor a patient, selecting leads, connecting electrode wires, testing impedance, controlling an electroencephalogram acquisition amplifier to start working, and acquiring electroencephalogram signals;
(3) after receiving the electroencephalogram signals, carrying out wave trapping and filtering, and displaying the electroencephalogram waveform according to the lead information;
(4) storing the brain electrical signals into a computer while displaying the brain electrical waveforms;
(5) and finishing the acquisition of the electroencephalogram signals.
Based on the invention, as shown in fig. 1, the operation process of the electroencephalogram monitor comprises the following steps:
(1) when the electroencephalograph measuring instrument software runs and electroencephalogram monitoring is started, starting a thread, and monitoring data of the software running in real time;
(2) the thread interval time t (t <50 ms) is used for storing data in current software once, wherein the data comprises current monitored patient information, lead information set during patient monitoring, electroencephalogram data storage path information, electroencephalogram signal filtering parameters, sampling rate information, states of buttons on a software interface, states of edit boxes and the like;
(3) the data in the step (2) is stored in a folder File of a hard disk of a computer, so that various stored content values can be conveniently read from the folder File after an abnormality occurs;
(4) writing the current time when writing data in the folder File each time;
(5) initially writing a Flag = True in a folder File, wherein the Flag = False in the electroencephalogram monitoring process;
(6) when the electroencephalogram measuring instrument is started, reading a detection Flag: if Flag = True, the former electroencephalogram detection is indicated to be normally exited, and the current electroencephalogram detection is a new electroencephalogram detection; if Flag = False, it indicates that the previous electroencephalogram detection is abnormally exited, and the previous electroencephalogram detection is continued this time, as shown in fig. 2, a data recovery program is started;
(61) reading all data including patient information, lead information, electroencephalogram data information, button states and the like from the File;
(62) restoring the patient information and the lead information into the software and displaying the patient information and the lead information in the software;
(63) restoring the electroencephalogram data before abnormal exit into software according to the electroencephalogram data storage path in the File, and displaying an electroencephalogram signal waveform;
(64) controlling an electroencephalogram measuring instrument by using electroencephalogram measuring instrument software according to information such as sampling rate, lead setting and the like stored in the File, and starting to collect electroencephalogram signals;
(65) correspondingly filtering the acquired electroencephalogram information according to the filtering parameter information read from the File, adding the filtered electroencephalogram signal to the previous electroencephalogram data, and displaying the electroencephalogram signal on a software interface;
(66) displaying the abnormal exit time period (without stored electroencephalogram monitoring data) as blank;
(67) displaying information such as button states, edit box states and the like read from the folder File in a software interface;
(68) and displaying other data information read from the folder File in a software interface.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (5)
1. A data protection and recovery method aiming at abnormal exit of an electroencephalogram measuring instrument is characterized by comprising the following steps: setting a File locally for each electroencephalogram monitoring, storing the setting data corresponding to the electroencephalogram monitoring, and simultaneously storing the time sequence data corresponding to the electroencephalogram monitoring data in real time; the data set for electroencephalogram monitoring comprises Flag, Flag = False in the electroencephalogram monitoring process, and Flag = True when the electroencephalogram monitoring is normally finished.
2. The data protection and recovery method for abnormal exit of an electroencephalograph according to claim 1, characterized in that: when the electroencephalogram monitoring is started, firstly detecting a Flag: if Flag = True, a new folder File is locally set, the setting data of the electroencephalogram monitoring is stored, and meanwhile, the time sequence data of the electroencephalogram monitoring data is stored in the folder File in real time; if Flag = False, the latest folder File is called locally, the setting data in the folder File is restored, and meanwhile, the time sequence data of the electroencephalogram monitoring data is continuously stored in the folder File in real time.
3. The data protection and recovery method for abnormal exit of electroencephalograph according to claim 1 or 2, wherein: the electroencephalogram monitoring is carried out by adopting an electroencephalogram monitor, the electroencephalogram monitor comprises an electroencephalogram electrode wire, an electroencephalogram acquisition amplifier and a computer, the electroencephalogram electrode wire is used for monitoring electroencephalogram signals, the electroencephalogram signals are amplified by the electroencephalogram acquisition amplifier and converted into electroencephalogram digital signals, the electroencephalogram digital signals are transmitted to the computer, and a processor of the computer calculates, stores and displays the electroencephalogram digital signals according to setting data; the folder File is stored in the memory of the computer.
4. The data protection and recovery method for abnormal exit of an electroencephalograph according to claim 3, wherein: the computer adopts a Windows system or a Linux system.
5. The data protection and recovery method for abnormal exit of electroencephalograph according to claim 1 or 2, wherein: the setting data comprises patient registration information and lead information, wherein the lead information comprises sampling frequency and electrode position information; the electroencephalogram monitoring data are displayed on a display in an electroencephalogram form, and the electroencephalogram monitoring data stored in the same File are displayed on the same electroencephalogram.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110478469.6A CN113229827A (en) | 2021-04-30 | 2021-04-30 | Data protection and recovery method for abnormal exit of electroencephalogram measuring instrument |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110478469.6A CN113229827A (en) | 2021-04-30 | 2021-04-30 | Data protection and recovery method for abnormal exit of electroencephalogram measuring instrument |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113229827A true CN113229827A (en) | 2021-08-10 |
Family
ID=77131897
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110478469.6A Pending CN113229827A (en) | 2021-04-30 | 2021-04-30 | Data protection and recovery method for abnormal exit of electroencephalogram measuring instrument |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113229827A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0561697A (en) * | 1991-09-03 | 1993-03-12 | Nec Corp | Fault restoring processor |
| JPH0830520A (en) * | 1994-07-13 | 1996-02-02 | Toshiba Corp | Computer system |
| JPH09123570A (en) * | 1995-11-02 | 1997-05-13 | Seiko Epson Corp | Printer device |
| JP2012113382A (en) * | 2010-11-22 | 2012-06-14 | Ricoh Co Ltd | Image forming device |
| US20130335235A1 (en) * | 2012-06-14 | 2013-12-19 | Draeger Safety Uk Limited | Telemetry monitoring system and a data recovery method for a telemetry monitoring system |
| WO2016184058A1 (en) * | 2015-05-21 | 2016-11-24 | 深圳市中兴微电子技术有限公司 | Terminal exception recovery method and terminal |
| CN108108268A (en) * | 2017-11-28 | 2018-06-01 | 北京川上科技有限公司 | Reboot process method and apparatus are exited in a kind of video record application |
| CN112617861A (en) * | 2021-01-27 | 2021-04-09 | 南京伟思医疗科技股份有限公司 | Electroencephalogram centralized monitoring system for neonatal intensive care unit |
-
2021
- 2021-04-30 CN CN202110478469.6A patent/CN113229827A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0561697A (en) * | 1991-09-03 | 1993-03-12 | Nec Corp | Fault restoring processor |
| JPH0830520A (en) * | 1994-07-13 | 1996-02-02 | Toshiba Corp | Computer system |
| JPH09123570A (en) * | 1995-11-02 | 1997-05-13 | Seiko Epson Corp | Printer device |
| JP2012113382A (en) * | 2010-11-22 | 2012-06-14 | Ricoh Co Ltd | Image forming device |
| US20130335235A1 (en) * | 2012-06-14 | 2013-12-19 | Draeger Safety Uk Limited | Telemetry monitoring system and a data recovery method for a telemetry monitoring system |
| WO2016184058A1 (en) * | 2015-05-21 | 2016-11-24 | 深圳市中兴微电子技术有限公司 | Terminal exception recovery method and terminal |
| CN108108268A (en) * | 2017-11-28 | 2018-06-01 | 北京川上科技有限公司 | Reboot process method and apparatus are exited in a kind of video record application |
| CN112617861A (en) * | 2021-01-27 | 2021-04-09 | 南京伟思医疗科技股份有限公司 | Electroencephalogram centralized monitoring system for neonatal intensive care unit |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8560054B2 (en) | Method and apparatus for extracting optimum holter ECG reading | |
| US6931274B2 (en) | Processing EEG signals to predict brain damage | |
| JP3325941B2 (en) | Non-intrusive multi-electrocardiographic device for assessing acute ischemic injury | |
| JP5604451B2 (en) | System and method for automatically capturing and archiving clinically meaningful vital signs | |
| DE102011001662A1 (en) | System and method for performing electrocardiography with motion detection | |
| CN102743157B (en) | Monitor and method for displaying long time physiological parameter data | |
| AU2017280928B2 (en) | System and method for rapid ECG acquisition | |
| US20060189876A1 (en) | Method and system for analyzing an electrocardiographic signal | |
| PL224517B1 (en) | System for recording and processing of signals for the diagnostics of hearing system and method of recording and processing of signals for the diagnostics of hearing system | |
| CN100366214C (en) | Portable electrocardiograph and processing method | |
| US9474460B2 (en) | Non-invasive evaluation of cardiac repolarisation instability for risk stratification of sudden cardiac death | |
| CN111557662A (en) | Epileptic interval electroencephalogram signal processing method and device, storage medium and equipment | |
| CN112617861A (en) | Electroencephalogram centralized monitoring system for neonatal intensive care unit | |
| CN104042210A (en) | Digital electrocardiograph and system thereof | |
| CN113229827A (en) | Data protection and recovery method for abnormal exit of electroencephalogram measuring instrument | |
| JPH0366358A (en) | Biosignal measuring instrument | |
| US20190150773A1 (en) | Continuous cardiac monitoring and real time episode detection system | |
| WO2010000009A1 (en) | Improved detection of cardiac dysfunction | |
| CN105144225B (en) | More patient EEG monitoring | |
| US20160213333A1 (en) | Diagnostic digital data mining of biological waves with spectral electrocardiography (secg) | |
| US12232877B2 (en) | System and method for arrhythmia diagnosis | |
| Migliorini et al. | Automatic arrhythmia detection based on heart beat interval series recorded through bed sensors during sleep | |
| DE102007024072B4 (en) | Method and device for correlating respiratory and cardiovascular system signals | |
| CN110693484A (en) | Long-range dynamic electrocardiogram monitoring system and monitoring method thereof | |
| JP2020099692A (en) | Visualization of different cardiac rhythms using different timing pattern displays |
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: 20210810 |