CN106333672A - EEG-based fatigue monitoring and rapid restoration head-mounted device for people working under high pressure - Google Patents

EEG-based fatigue monitoring and rapid restoration head-mounted device for people working under high pressure Download PDF

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CN106333672A
CN106333672A CN201610816215.XA CN201610816215A CN106333672A CN 106333672 A CN106333672 A CN 106333672A CN 201610816215 A CN201610816215 A CN 201610816215A CN 106333672 A CN106333672 A CN 106333672A
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eeg
fatigue
sleep
mobile phone
monitoring
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杨代辉
叶文滔
蔡泽鹏
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/168—Evaluating attention deficit, hyperactivity
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4815—Sleep quality
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/7405—Details of notification to user or communication with user or patient ; user input means using sound
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
    • A61M2021/0027—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense

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Abstract

The invention discloses an EEG-based high-pressure fatigue monitoring and rapid restoration head-mounted device for people working under high pressure. The EEG-based fatigue monitoring and rapid restoration head-mounted device comprises a TGAM electroencephalogram acquisition module, an STM32 digital signal processor, a server and a mobile phone terminal, wherein the TGAM electroencephalogram acquisition module is connected with the forehead, the TGAM electroencephalogram acquisition module is connected with the STM32 digital signal processor by virtue of Bluetooth, the STM32 digital signal processor is connected with the mobile phone terminal by virtue of the server, and a fatigue alarming drawing sleep quality curve is displayed on the mobile phone terminal. By adopting the EEG-based fatigue monitoring and rapid restoration head-mounted device, the problem that the traditional fatigue detection device based on a camera is limited to an application field is overcome, a portable sleep staging function and an intelligent lock function can be provided; and the EEG-based fatigue monitoring and rapid restoration head-mounted device is used for monitoring fatigue of a human body and assisting the sleep of the human beings so as to meet the requirement of people with insomnia caused by high-tension work.

Description

The fatigue monitoring of the high-pressure work crowd based on eeg and the helmet of fast quick-recovery
Technical field
The present invention relates to healthy electronic technology field is and in particular to a kind of high-pressure work crowd's based on eeg is tired Labor monitoring and the helmet of fast quick-recovery.
Background technology
The time that adult there are about 1/3 is spent in sleep, and sleep quality is closely related with the mental status, for some danger Work, tired operation may cause quite serious accident, taking car steering as a example:
Maclean etc. has looked back the Research Literature to fatigue driving for the previous scholars, draws 20% vehicle accident and fatigue Drive related conclusion.The road traffic accident totally 2568 that China leads to for 2008 because of fatigue driving, wherein dead 1353 people, Injured 3129 people, 57,380,000 yuan of the direct property loss causing.The accident rate of fatigue driving is high, and consequence is serious, due to right at present Fatigue driving still neither one specifically assert standard, therefore, the vehicle accident that actually driver leads to because of fatigue driving Ratio is more high than statistical data.
Therefore, this kind of user is provided fatigue remind extremely to be necessary with sleep assistant's (mental restoration) function, current city Present on face, the equipment of most of fatigue detecting is based on image recognition because the reason volume and equipment install tired Difficulty, is difficult to adapt to different use scenes.And, based on the application of image recognition, receive the multifactorial shadows such as illumination, detection angles Ring, universality is not very strong.Detection objectivity based on physiological signal is strong, accuracy rate is high, and using EEG signals as detection according to It is accuracy highest method according to being generally believed that.
Meanwhile, the most important mode that sleep refreshes with vigor as the mankind, lifting sleep quality undoubtedly can be right.Mesh Front be medically to analyze conditions of patients by the way of leading sleep analysis to the patient that there is sleep disorder more, comprehensive brain electricity, The bio signals such as myoelectricity carry out comprehensive descision to sleep state, but specialty lead hypnotic instrument apparatus expensive more, need professional person Assistant analysis, and wear and its inconvenient.There are a lot of Intelligent worn device at present or app both provides simple sleep point Analysis function.As the sleep bot tracker Sleep diaries under the sleep cycle sleep cycle alarm clock and android under ios Deng.Sleep cycle and sleep bot tracker is two application Ji Yu mobile phone " gravity acceleration sensor ", its principle Also basically identical: when sleep, mobile phone is placed on medicated pillow side, by Gravity accelerometer record that you stand up time Number, with this come the sleep state to infer you.The advantage of this two application projects it is simply that simply, conveniently, joining without other very much Part achieves that Analysis of sleeping quality and arousal function.Certainly, shortcoming is not also clearly it is simply that precision is high.
In sum, the present invention devises a kind of fatigue monitoring of the high-pressure work crowd based on eeg and fast quick-recovery Helmet.
Content of the invention
For not enough present on prior art, the present invention seeks to being to provide a kind of high-pressure work people based on eeg The fatigue monitoring of group and the helmet of fast quick-recovery, overcome the use scene of traditional fatigue detecting equipment based on photographic head Limited problem, provides portable sleep stage function, intelligent alarm clock function simultaneously, for monitoring human-body fatigue, assists people Class is slept, to meet the demand of the crowd having a sleepless night because of high-pressure work.
To achieve these goals, the present invention is to realize by the following technical solutions: the high-pressure work people based on eeg The fatigue monitoring of group and the helmet of fast quick-recovery, including tgam brain wave acquisition module, stm32 digital signal processor, clothes Business device and mobile phone terminal, tgam brain wave acquisition module is connected with forehead, and tgam brain wave acquisition module passes through bluetooth and stm32 numeral Signal processor is connected, and stm32 digital signal processor is connected with mobile phone terminal by server, mobile phone terminal shows tired Labor is reported to the police and is drawn sleep quality curve.
The described fatigue monitoring of the high-pressure work crowd based on eeg and the helmet of fast quick-recovery include three sides Face: fatigue warning, sleep stage and intelligence wake up.
Described fatigue warning comprises the following steps: 1, gathers the forehead EEG signal of people by dry electrode；2nd, use The EEG signals of the tgam resume module collection of neurosky company, this module built-in esense algorithm, each second exports once Attention numerical value is used for characterizing the attention intensity of wearer；3rd, when wearer fatigue increase when, attention can under Fall, attention can reduce, and we are determined by experiment threshold value is 35, when the attention numerical value that tgam passes mobile phone back is less than Tired alarm is then sent when 35.
Described sleep stage comprises the following steps: 1, neurosky gathers the original EEG signals of 30s, and sample rate is 512hz, signal is stored in the internal memory of stm32f4.
2nd, the EEG signals just having collected are carried out feature extraction.
3rd, row operation will be entered in the feature extracted input neural network, obtain sleep stage result.
Described intelligence wakes up and combines sleep stage function, 30 minutes before and after the alarm clock that user sets in, judge use Whether family is in either shallow sleep state, thus wake up user when either shallow is slept, reduces tired meaning when just waking up.
Beneficial effects of the present invention: overcome traditional fatigue detecting equipment based on photographic head using asking limited by scene Topic, provides portable sleep stage function, intelligent alarm clock function, for monitoring human-body fatigue, the auxiliary mankind sleep simultaneously, with Meet the demand of the crowd having a sleepless night because of high-pressure work.
Brief description
To describe the present invention with reference to the accompanying drawings and detailed description in detail；
Fig. 1 is the system whole machine frame figure of the present invention.
Specific embodiment
Technological means, creation characteristic, reached purpose and effect for making the present invention realize are easy to understand, with reference to Specific embodiment, is expanded on further the present invention.
With reference to Fig. 1, this specific embodiment employs the following technical solutions: the fatigue prison of the high-pressure work crowd based on eeg Survey the helmet with fast quick-recovery, including tgam brain wave acquisition module 1, stm32 digital signal processor 2, server 3 and handss Machine terminal 4, tgam brain wave acquisition module 1 is connected with forehead, and tgam brain wave acquisition module 1 passes through bluetooth and stm32 digital signal Processor 2 is connected, and stm32 digital signal processor 2 is connected with mobile phone terminal 4 by server 3, and mobile phone terminal 4 shows Fatigue warning draws sleep quality curve.Tgam brain wave acquisition module 1 has integrated level height, low price, the feature of small volume； Using bluetooth data transmission between brain wave acquisition module and stm32, the ground wire of the two is made to keep apart, it is to avoid grounding interference. Finally, the data having processed on stm32 is sent to mobile phone terminal through server by wifi.Select by Wavelet Denoising Method to signal It is filtered, wavelet packet carries out feature extraction to signal, finally with the physiological data storehouse of mit, bp neutral net is trained, Then the parameter obtaining training is transplanted to the enterprising row operation of stm32f4 chip.
The described fatigue monitoring of the high-pressure work crowd based on eeg and the helmet of fast quick-recovery include three sides Face: fatigue warning, sleep stage and intelligence wake up.
Described fatigue warning comprises the following steps: 1, gathers the forehead EEG signal of people by dry electrode；2nd, use The EEG signals of the tgam resume module collection of neurosky company, this module built-in esense algorithm, each second exports once Attention numerical value is used for characterizing the attention intensity of wearer；3rd, when wearer fatigue increase when, attention can under Fall, attention can reduce, and we are determined by experiment threshold value is 35, when the attention numerical value that tgam passes mobile phone back is less than Tired alarm is then sent when 35.
The sleep of people can be divided into lucid interval, n1 by the sleep stage standard that can be issued in 2009 according to U.S.'s hypnosphy Phase, n2 phase, n3 phase, rapid eye movement phase.The main differentiation signal of sleep stage is the EEG signals of people, and the Massachusetts Institute of Technology is section Personnel's offer are provided more and lead EEG signals and the corresponding sleep stage having in dormant data storehouse during sleep, by each stage 80 samples are all taken out in sleep, for training neutral net, by the training characteristics that wavelet transformation extracts are: k_complex, The Energy-Entropy of delta, theta, alpha, beta ripple, the Sample Entropy of the energy of original EEG signals and original EEG signals.Hidden The neuron number hiding layer is 20.
The training of neutral net is completed on matlab2016a, then algorithm is transplanted to stm32f4 embedded flat Platform.
1st, neurosky gathers the original EEG signals of 30s, and sample rate is 512hz, and signal is stored in the internal memory of stm32f4 In.
2nd, the EEG signals just having collected are carried out feature extraction.
3rd, row operation will be entered in the feature extracted input neural network, obtain sleep stage result.
Described intelligence wakes up and combines sleep stage function, 30 minutes before and after the alarm clock that user sets in, judge use Whether family is in either shallow sleep state, thus wake up user when either shallow is slept, reduces tired meaning when just waking up.
The using effect of this specific embodiment: after eeg testing equipment on user band, equipment passes through bluetooth and mobile phone Communicated.The attention data that can be transmitted with Real Time Observation to tgam at " focus " interface, when wearer's When attention numerical value is less than 35, mobile phone jingle bell is reported to the police.At " sleep " interface, user can arrange alarm time, and system can be Judge the sleep state of wearer before and after user's setting time in 30 minutes, detect user be in either shallow sleep then sound noisy Bell, mitigates degree of fatigue when user wakes up.
Ultimate principle and principal character and the advantages of the present invention of the present invention have been shown and described above.The technology of the industry , it should be appreciated that the present invention is not restricted to the described embodiments, the simply explanation described in above-described embodiment and description is originally for personnel The principle of invention, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, these changes Change and improvement both falls within scope of the claimed invention.Claimed scope by appending claims and its Equivalent thereof.

Claims (5)

1. the fatigue monitoring of the high-pressure work crowd based on eeg and the helmet of fast quick-recovery are it is characterised in that include tgam Brain wave acquisition module (1), stm32 digital signal processor (2), server (3) and mobile phone terminal (4), tgam brain wave acquisition mould Block (1) is connected with forehead, and tgam brain wave acquisition module (1) is connected with stm32 digital signal processor (2) by bluetooth, stm32 Digital signal processor (2) is connected with mobile phone terminal (4) by server (3), mobile phone terminal (4) shows fatigue warning and paints Sleep quality curve processed.
2. the helmet of the fatigue monitoring of the high-pressure work crowd based on eeg according to claim 1 and fast quick-recovery, It is characterized in that, the described fatigue monitoring of the high-pressure work crowd based on eeg includes three with the helmet of fast quick-recovery Aspect: fatigue warning, sleep stage and intelligence wake up.
3. the helmet of the fatigue monitoring of the high-pressure work crowd based on eeg according to claim 2 and fast quick-recovery, It is characterized in that, described fatigue warning comprises the following steps: (1), by the forehead EEG signal of dry electrode collection people；(2)、 Using the EEG signals of the tgam resume module collection of neurosky company, this module built-in esense algorithm, each second exports Attention numerical value is used for characterizing the attention intensity of wearer；(3), when wearer's fatigue increases, attention Can decline, attention can reduce, we are determined by experiment threshold value is 35, when tgam passes the attention numerical value of mobile phone back Tired alarm is then sent during less than 35.
4. the helmet of the fatigue monitoring of the high-pressure work crowd based on eeg according to claim 2 and fast quick-recovery, It is characterized in that, described sleep stage comprises the following steps: (1), neurosky gather the original EEG signals of 30s, sampling Rate is 512hz, and signal is stored in the internal memory of stm32f4；
(2), the EEG signals just having collected are carried out feature extraction；
(3), row operation will be entered in the feature extracted input neural network, obtain sleep stage result.
5. the helmet of the fatigue monitoring of the high-pressure work crowd based on eeg according to claim 2 and fast quick-recovery, It is characterized in that, described intelligence wakes up and combines sleep stage function, 30 minutes before and after the alarm clock that user sets in, judgement Whether user is in either shallow sleep state, thus wake up user when either shallow is slept, reduces tired meaning when just waking up.
CN201610816215.XA 2016-09-12 2016-09-12 EEG-based fatigue monitoring and rapid restoration head-mounted device for people working under high pressure Pending CN106333672A (en)

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CN109480835A (en) * 2018-12-29 2019-03-19 中国人民解放军南京军区福州总医院 A kind of mental fatigue detection method based on shot and long term Memory Neural Networks
WO2019100660A1 (en) * 2017-11-27 2019-05-31 深圳创达云睿智能科技有限公司 Sleep stage classification method and system, and terminal device
CN110101397A (en) * 2019-03-29 2019-08-09 中国地质大学（武汉） Focus detector based on TGAM
CN111345818A (en) * 2018-12-20 2020-06-30 香港城市大学深圳研究院 Electroencephalogram signal processing system, engineering safety helmet and method
CN116671867A (en) * 2023-06-06 2023-09-01 中国人民解放军海军特色医学中心 Sleep quality evaluation method and system for underwater operators

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CN111345818A (en) * 2018-12-20 2020-06-30 香港城市大学深圳研究院 Electroencephalogram signal processing system, engineering safety helmet and method
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CN116671867A (en) * 2023-06-06 2023-09-01 中国人民解放军海军特色医学中心 Sleep quality evaluation method and system for underwater operators
CN116671867B (en) * 2023-06-06 2024-02-20 中国人民解放军海军特色医学中心 Sleep quality evaluation method and system for underwater operators

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