CN206183286U - Portable terminal and system of wearing of real -time supervision rehabilitation person heart addiction state - Google Patents
Portable terminal and system of wearing of real -time supervision rehabilitation person heart addiction state Download PDFInfo
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- CN206183286U CN206183286U CN201620927315.5U CN201620927315U CN206183286U CN 206183286 U CN206183286 U CN 206183286U CN 201620927315 U CN201620927315 U CN 201620927315U CN 206183286 U CN206183286 U CN 206183286U
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Abstract
The embodiment of the utility model provides a portable terminal and system of wearing of real -time supervision rehabilitation person heart addiction state, this terminal includes: support, treater, dispensing device and a plurality of electrode, treater and a plurality of electrode fixed mounting are on the support, the treater is connected with electrode and dispensing device respectively, the different positions of rehabilitation person's head are laid a plurality of electrodes to the support, a plurality of electrodes are used for acquireing in real time rehabilitation person's EEG signal, the treater is used for receiving EEG signal, whether is in the state information of heart addiction outbreak according to EEG signal output rehabilitation person, dispensing device after being used for receiving state information sends state information to the monitor terminal in the external world. Can real -time supervision through gathering EEG signal, state judgement is accurate, effective to the outbreak of heart addiction.
Description
Technical field
The utility model is related to technical field of medical equipment, in particular to a kind of real-time monitoring drug abstainer heart addiction shape
The removable of state wears terminal and system.
Background technology
Drug abstainer is typically treated by medicine (methadone etc.) or natural withdrawal is quit drug abuse.Medical treatment regime, detoxification
Cycle is long, is difficult to resolve drug abstainer and relies at heart, easily occurs relapsing phenomenon.Natural withdrawal mode, drug abstainer is subjected to larger pain, leads
Cause resistance big, the behaviors such as autotomy, suicide easily occur, hardly possible removes heart addiction, and relapse rate is high.It is big absolutely in the annual number because of death of taking drugs
Majority causes death because relapsing.How to reduce at present and relapse, improve the efficiency of drug detoxification, it has also become whole society's concern
Focus.Therefore the monitoring to the heart addiction breaking-out situation of drug abstainer is extremely important.
Existing monitoring method has psychological Research advancement on measuring scale, and it is stated according to the oral account of drug abstainer, pen, verbal response or individual external
Portion's behavior expression and drug abstainer are inferred or explain drug abstainer Inner addiction attitudes to the judgement of own situation.The detection method is faced with
Drug abstainer cooperation, or the problem that drug abstainer is not reported the fact truthfully are difficult to obtain, also drug abstainer oneself is not all recognized
Inner addiction attitudes, now drug abstainer also cannot by real Inner addictions attitude be depicted come.Therefore the conclusion that the method is obtained is not
The real idea of drug abstainer can be embodied, it is sex-limited with not very big certainty drawn game, and the real-time heart of drug abstainer can not be reflected
Addiction state.
Uncertainty, limitation and non real-time nature problem for above-mentioned drug abstainer heart addiction breaking-out monitoring mode, at present still
Effective solution is not proposed.
Utility model content
In view of this, the purpose of this utility model is to provide a kind of moving head of real-time monitoring drug abstainer heart addiction state
Terminal and system are worn, with the psychological condition of real-time monitoring drug abstainer heart addiction state, and can judge whether drug abstainer heart addiction occurs
The situation of breaking-out, being capable of real-time monitoring and judging nicety rate is high.
To achieve these goals, the technical scheme that the utility model embodiment is used is as follows：
In a first aspect, the utility model embodiment provides a kind of removable wearing of real-time monitoring drug abstainer heart addiction state
Terminal, including：Support, processor, dispensing device and multiple electrodes, processor and multiple electrodes are fixedly installed on support；Place
Reason device is connected with electrode and dispensing device respectively；Multiple electrodes are placed to support the diverse location of drug abstainer head；Multiple electricity
Pole is used to obtain in real time the EEG signals of drug abstainer；Processor is used to receive EEG signals, and drug abstainer is exported according to EEG signals
Whether the status information of heart addiction breaking-out is in；After dispensing device is used to receive status information, status information is sent to the external world
Monitoring terminal.
With reference in a first aspect, the utility model embodiment provide first aspect the first possible implementation method, its
In, above-mentioned multiple electrodes include 5 acquisition electrodes and 2 reference electrodes, and 5 acquisition electrodes are placed in drug abstainer head respectively
Central point, left centre, right median, metopion and summit；2 reference electrodes are respectively placed at left ear-lobe and the right side of drug abstainer
Ear-lobe.
With reference in a first aspect, the utility model embodiment provide first aspect second possible implementation method, its
In, multiple electrodes are that non-intrusion type adsorbs dry electrode.
With reference in a first aspect, the utility model embodiment provide first aspect the third possible implementation method, its
In, processor includes comparator, for comparing EEG signals and EEG signals under heart addiction breaking-out state, show whether drug abstainer is located
In heart addiction breaking-out state.
With reference in a first aspect, the utility model embodiment provide first aspect the 4th kind of possible implementation method, its
In, processor includes：Wave filter is used to be filtered EEG signals；Amplifier is used to carry out EEG signals after filtering
Amplify；Analog-digital converter is used to for simulation EEG signals to be converted to digital brain electrical signal.
With reference in a first aspect, the utility model embodiment provide first aspect the 5th kind of possible implementation method, its
In, also including power supply.
With reference in a first aspect, the utility model embodiment provide first aspect the 6th kind of possible implementation method, its
In, dispensing device includes：Bluetooth module or WiFi module.
Second aspect, the utility model embodiment additionally provides a kind of system of real-time monitoring drug abstainer heart addiction state, bag
Include monitoring terminal and the removable of above-mentioned second aspect offer wears terminal, the monitoring terminal receives removable terminal of wearing and sends
Information.
With reference to second aspect, the utility model embodiment provides the first possible implementation method of second aspect, its
In, the monitoring terminal includes display device, and display device is used to show the removable information for wearing terminal transmission.
With reference to second aspect, the utility model embodiment provides second possible implementation method of second aspect, its
In, the monitoring terminal is mobile terminal.
The removable of real-time monitoring drug abstainer heart addiction state that the utility model embodiment is provided wears terminal and system, leads to
The EEG signals of Real-time Collection drug abstainer are crossed, judgement is analyzed by the EEG signals, whether obtain drug abstainer in the heart
The result of addiction breaking-out state, and the result is sent to monitoring terminal, the mode of above-mentioned monitoring is realized to the real-time of drug abstainer
Monitoring, and accuracy of judgement is effectively, helps significant to finding the heart addiction breaking-out state of drug abstainer in time and providing medical treatment.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme of the utility model embodiment, below will be to be used needed for embodiment
Accompanying drawing be briefly described, it will be appreciated that the following drawings illustrate only some embodiments of the present utility model, therefore should not be by
Regard the restriction to scope as, for those of ordinary skill in the art, on the premise of not paying creative work, may be used also
Other related accompanying drawings are obtained with according to these accompanying drawings.
Fig. 1 shows the removable schematic perspective view for wearing terminal that the utility model embodiment 1 is provided；
Fig. 2 shows the electrode position schematic diagram that the utility model embodiment 1 is provided；
Fig. 3 shows the upward view of the removable helmet that the utility model embodiment 1 is provided；
Fig. 4 shows the structural frames of the system of the real-time monitoring drug abstainer heart addiction state that the utility model embodiment 2 is provided
Figure.
Specific embodiment
It is new below in conjunction with this practicality to make the purpose, technical scheme and advantage of the utility model embodiment clearer
Accompanying drawing in type embodiment, is clearly and completely described, it is clear that described to the technical scheme in the utility model embodiment
Embodiment be only a part of embodiment of the utility model, rather than whole embodiments.Generally described in accompanying drawing herein
Can arrange and design with a variety of configurations with the component of the utility model embodiment for showing.Therefore, below to
The detailed description of the embodiment of the present utility model provided in accompanying drawing is not intended to limit claimed model of the present utility model
Enclose, but be merely representative of selected embodiment of the present utility model.Based on embodiment of the present utility model, those skilled in the art exist
The every other embodiment obtained on the premise of not making creative work, belongs to the scope of the utility model protection.
Method in view of prior art monitoring drug abstainer psychological condition can not realize real-time monitoring, and accuracy rate is low asks
Topic, the utility model embodiment wears terminal and system there is provided a kind of the removable of real-time monitoring drug abstainer heart addiction state, should
Technology can be realized using corresponding software and hardware.It is described below by embodiment.
Embodiment 1
The utility model embodiment 1 wears terminal there is provided a kind of the removable of real-time monitoring drug abstainer heart addiction state, such as
Shown in Fig. 1, removable terminal 100 of wearing includes support 110, center 120 and multiple electrodes 130, collection wherein in center 120
Into having processor and dispensing device.Processor and multiple electrodes 130 are fixedly installed on support 110；Processor respectively with electrode
130 and dispensing device connection.
Removable helmet is worn on the head of drug abstainer, and drug abstainer can be moved freely in the case of wearing, and this can
Movable head-wearing equipment is provided with independent power supply, can dress for a long time.Multiple electrodes are placed to drug abstainer head by support 110
Diverse location, multiple electrodes be used in real time obtain drug abstainer EEG signals.The quantity of electrode can be 3 to 72, this reality
Apply and illustrated as a example by using 5 electrodes in example.Specifically include 5 acquisition electrodes and 2 reference electrodes, 5 acquisition electrodes
With 2 reference electrodes, diverse location includes：Lay central point (Cz), left centre (C3), right median (C4), the volume of acquisition electrode
Midpoint (Fz) and summit (Pz)；And the left ear-lobe (A1) and auris dextra of placement reference electrode hang down (A2).10/20 system as shown in Figure 2
Electrode position schematic diagram, has indicated the position of each electrode.Referring again to the upward view of removable helmet as shown in Figure 3,
Show the position of each electrode that the present embodiment is used.The electrode at left ear-lobe (A1) and vertical (A2) place of auris dextra can use electrode
Folder, is clipped on the ear-lobe of left and right respectively.
Above-mentioned electrode is the circular dry electrode of absorption of non-intrusion type (circular, diameter is less than 3 centimetres), using micropin technology, is surpassed
High input impedance amplifier and photoelectric sense technology.Relative to traditional brain wave acquisition electrode, the dry electrode of non-intrusion type is broken away from
To the dependence of conducting medium, easy to use, portable, sensitivity is high, be difficult by environmental constraints, so as to ensure to gather EEG signals
Accuracy.
Processor is used to receive EEG signals, and whether the state broken out in heart addiction is believed to export drug abstainer according to EEG signals
Breath.
Specifically, EEG signals can be analyzed by Wavelet Transform after receiving EEG signals, extracts correspondence
In the energy value of μ rhythm, the frequency of μ rhythm is 8-12Hz, and amplitude is 30-80 μ V；Removable helmet using energy value as
Reflect the characteristic vector of drug abstainer heart addiction state.
May move first and wear device build wavelet packet, WAVELET PACKET DECOMPOSITION is carried out to EEG signals, draw the frequency band of each layer
Scope；Removable helmet determines the number of plies of the frequency band range near μ rhythm frequency range；Removable helmet extract layer
The energy value of the corresponding wavelet coefficient of number.
The present embodiment carries out 3 layers of decomposition to EEG signals from db5 small echos, draws the frequency band range of each number of plies component,
Reflect the time and frequency domain characteristics of EEG signals using the energy of wavelet coefficient.By each layer frequency band range and μ rhythm frequency range phase
Compare, so as to draw the frequency band range of any layer near μ rhythm, can extract correspondence with this layer of energy value of the wavelet coefficient of frequency band
As characteristic vector.
It is specific as follows：
(1) finite layer decomposition is carried out to EEG signals：
L is Decomposition order, ALIt is low pass approximation component, DjIt is the details coefficients under different scale；
(2) 3 layers of decomposition are for example carried out to above formula using db5 small echos：
X [n]=A3+D3+D2+D1,
The corresponding sub-band of each component is as shown in table 1：
Table 1：
As shown in Table 1, D3 (8-16Hz) is near μ rhythm (8-12Hz) frequency band range of EEG signals, therefore can carry
The average energy value of wavelet coefficient corresponding to the frequency band is taken as characteristic vector, average energy value is as follows：
L is Decomposition order, and k is l layers of upper k-th subband, and n is the number of the wavelet coefficient contained by node, dn(l, k) is
The l layers of wavelet coefficient of upper k-th subband, E (l, k) is the l layers of average energy of the wavelet coefficient of upper k-th subband.
Processor includes a comparator, for comparing EEG signals and EEG signals under heart addiction breaking-out state, draws
Whether drug abstainer is in heart addiction breaking-out state.
The comparator can be SVMs (i.e. SVM, Support Vector Machine) grader.
Characteristic vector is input in SVM classifier, μ rhythm is corresponding small during the SVM classifier mistake heart addiction breaking-out
The energy value training of μ rhythm corresponding wavelet coefficient when the energy value and heart addiction of wave system number do not break out；By SVM classifier to feature
Vector is classified, and determines that drug abstainer is in heart addiction breaking-out shape when characteristic vector is classified into the heart addiction corresponding classification of breaking-out
State.
The SVM classifier had carried out training and class test before judgement step is carried out, with the energy of wavelet coefficient
Value training set template is used as with reference to template, it is believed that the energy value of the wavelet coefficient of the neighbouring frequency band of the μ rhythm of subject and this
The close situation of training template belongs to the situation of drug abstainer heart addiction breaking-out.
Processor also includes：Wave filter, for being filtered to EEG signals；Amplifier, for brain after filtering
Electric signal is amplified；Analog-digital converter, for simulation EEG signals to be converted into digital brain electrical signal.
After dispensing device is used to receive above-mentioned status information, the status information is sent to extraneous monitoring terminal.Should
Dispensing device includes：Bluetooth module or WiFi module.Its form is converted to what monitoring terminal can recognize that before result is sent
Signal format.After the consequential signal handled well is received, result is shown on demand on the monitoring terminal.
Removable in above-described embodiment 1 wears terminal, is worn on drug abstainer head, can be with the brain of Real-time Collection drug abstainer
Electric signal, then judgement is analyzed to the EEG signals, the result whether drug abstainer is in heart addiction breaking-out state is obtained, and should
Result is sent to monitoring terminal, and above-mentioned terminal realizes the real-time monitoring to drug abstainer, and whether heart addiction is broken out to judge drug abstainer
Accuracy rate is high, can effectively monitor the psychological condition of drug abstainer, the accurate recovery given up situation, be drug abstainer for grasping drug abstainer
Effective information is provided, it is significant to helping drug abstainer to give up.
Human brain spontaneous brain electricity signal can be divided into following several by frequency range：Delta rhythm, theta rhythm, alpha rhythm, β sections
Rule, gamma rhythm and μ rhythm.
(1) delta rhythm：Frequency is 0.5~4Hz, and amplitude is 20~200 μ V.When normal adults are regained consciousness, general record less than
Delta rhythm, delta rhythm occurs when people sleeps, but is likely to occur in deep anaesthesia, anoxic, clouding of consciousness, cerebral diseased.
The delta rhythm of head frontal region and occipital region is particularly evident.
(2) theta rhythm：Frequency is 4~8Hz, and amplitude is 100~150 μ V.When people is disappointed, suffers setbacks or when feeling sleepy
It is existing, theta rhythm reflect cerebral central nervous system receive it is oppressive.
(3) alpha rhythm：Frequency is 8~12Hz, and amplitude is 20~100 μ V.Eye closing alpha rhythm occurs under people's waking state, and ripple
Amplitude variation law is ascending, is then reduced again, forms the fusiformis of alpha rhythm.When eye opening, anxiety, focus on
When pondering a problem or being stimulated (unfamiliar extraneous things occurs) by other, alpha rhythm disappears and beta response occurs, referred to as alpha rhythm resistance
Disconnected phenomenon.When closing one's eyes again, alpha rhythm can occur again again.Alpha rhythm be adult normal each rhythm and pace of moving things of EEG signals in be easiest to
It was observed that the rhythm and pace of moving things.Any position of scalp surface can recorded, but scalp top and brain occipital region alpha rhythm are particularly bright
It is aobvious.
(4) beta response：Frequency is 12~25Hz, and amplitude is 5~20 μ V.In scalp forehead and temples performance most substantially, when receiving
Examination person open eyes regard thing, by unexpected stimulation, carry out thinking activities, or effort solve problem when, in the other positions of scalp
Beta response occurs.The appearance of beta response is relevant with the excitement degree of brain cortex neural activity.
(5) gamma rhythm：Frequency is more than 26Hz, and gamma rhythm is a kind of high frequency waves, is mainly caused by attention or sensory stimuli, instead
The excitability of brain nervous cell is reflected.People's scalp frontal region, top area in the middle part of etc. position it is the most notable.
(6) μ rhythm：Frequency is 8~12Hz, and amplitude is 30~80 μ V, and μ rhythm is not closed one's eyes by opening eyes to be influenceed, its change
Rule is closely related with the limb motion of human body.The typical scalp of μ rhythm is distributed in brain central area, sometimes in center top area,
Therefore the present embodiment selection by acquisition electrode be placed in central point (Cz), left centre (C3), right median (C4), metopion (Fz) and
Summit (Pz), the fixedly secured left ear-lobe (A1) of reference electrode and auris dextra hang down (A2) in addition.
Due to EEG signals and its faint, normal conditions only have about 50uV or so；And because its incident very high is sensitive
Property, the interference and pollution in the external world are highly prone in gatherer process, so as to introduce noise (artefact).Artefact Producing reason is as follows：
(1) eye electricity：The artefact for moving and producing due to being tested eye is most common.In gatherer process, experimenter's ocular movemeut
During with blink, the bilateral consistent with the ocular movemeut rhythm and pace of moving things will be produced to pile slow wave potential artefact in the lead of frons etc..
(2) electrocardio and Muscle artifacts：QPRS ripples in general electrocardio can occur disturbing ripple in the EEG signals recorded
Shape；Chew muscle tonue and swallowing act etc. and fast and irregular myoelectric potential artefact is easily produced in temples lead.
(3) Hz noise：Come from the interference of power system, be made up of 50Hz and its harmonic wave.In order to eliminate it to biology
Interference between medical signals frequency band range, typically can all carry out 50Hz filtering and remove Hz noise.
(4) motion artifactses：A kind of interference that signal base line can be caused to produce change, is caused due to human body light exercise
Measuring electrode and human contact's electrode change.
Therefore in order to extract required μ rhythm, brain electric analoging signal is converted into brain electricity numeral letter in analog-digital converter
Number also need to be filtered EEG signals and amplify before.It is specific as follows：
Wave filter is filtered to EEG signals first, removes the noise of EEG signals, increases the intensity of useful signal, carries
The signal to noise ratio of EEG signals high.Wave filter includes high-pass filtering circuit, trap circuit and low-pass filter circuit.Trap circuit can be with
It is prevented effectively from the Hz noise of 50HZ, LPF removal eye electrical interference.
Secondly amplifier is amplified to filtered EEG signals and adjusts amplified brain by level adjusting circuit
The voltage of electric signal.Amplifier includes pre-amplification circuit and rearmounted amplifying circuit, can arrive EEG signals amplification 15000
20000 times.The interference including power frequency, electrostatic and electromagnetic coupled etc. can preferably be suppressed.
Processor includes：Wave filter is used to be filtered EEG signals；Amplifier is used for brain telecommunications after filtering
Number it is amplified；Analog-digital converter is used to for simulation EEG signals to be converted to digital brain electrical signal.
Embodiment 2
The utility model embodiment provides a kind of system of real-time monitoring drug abstainer heart addiction state, including above-described embodiment is carried
The removable of confession wears terminal 100.As shown in figure 4, including：Monitoring terminal 410 wears terminal 100, monitoring terminal with removable
410 receive the removable information for wearing the transmission of terminal 100.
Monitoring terminal 410 includes display device, and display device is used to show the removable information for wearing terminal transmission, and
Display software for monitoring is installed, in the monitoring beginning front opening display software.After monitoring terminates, removable wearing is removed
Terminal 100 simultaneously closes its power supply.Monitoring terminal 410 can be PC or mobile terminal, such as smart mobile phone, panel computer, electricity
Philosophical works reader, pocket computer on knee etc..
The EEG signals with the EEG signals of Real-time Collection drug abstainer, then can be divided by the system in above-described embodiment 2
Analysis judgement, obtains the result whether drug abstainer is in heart addiction breaking-out state, the result then is sent into monitoring terminal, so that real
The real-time monitoring to drug abstainer is showed, it judges drug abstainer, and whether heart addiction breaking-out accuracy rate is high, can effectively monitor drug abstainer
Psychological condition, accurately grasp drug abstainer gives up situation, for the recovery of drug abstainer provides effective information, to helping drug abstainer to give up
It is significant.
To sum up, the removable of real-time monitoring drug abstainer heart addiction state that the utility model embodiment is provided wears terminal and is
The EEG signals with the EEG signals of Real-time Collection drug abstainer, then can be analyzed judgement by system, obtain whether drug abstainer is in
The result of heart addiction breaking-out state, is conducive to accurately grasping the heart addiction state of drug abstainer, and that accurately grasps drug abstainer gives up situation, is
The recovery of drug abstainer provides effective information.
In description of the present utility model, in addition it is also necessary to explanation, unless otherwise clearly defined and limited, term " sets
Put ", " installation ", " connected ", " connection " should be interpreted broadly, for example, it may be fixedly connected, or be detachably connected,
Or be integrally connected；Can mechanically connect, or electrically connect；Can be joined directly together, it is also possible to by intermediary
It is indirectly connected to, can is two connections of element internal.For the ordinary skill in the art, can be managed with concrete condition
Solve concrete meaning of the above-mentioned term in the utility model.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined in individual accompanying drawing, then it need not be further defined and explained in subsequent accompanying drawing.
Preferred embodiment of the present utility model is the foregoing is only, the utility model is not limited to, for this
For the technical staff in field, the utility model can have various modifications and variations.It is all it is of the present utility model spirit and principle
Within, any modification, equivalent substitution and improvements made etc. should be included within protection domain of the present utility model.Above institute
State, specific embodiment only of the present utility model, but protection domain of the present utility model is not limited thereto, it is any to be familiar with sheet
Those skilled in the art can readily occur in change or replacement in the technical scope that the utility model is disclosed, and should all cover
Within protection domain of the present utility model.Therefore, protection domain of the present utility model should be with scope of the claims
It is accurate.
Claims (10)
1. a kind of the removable of real-time monitoring drug abstainer heart addiction state wears terminal, it is characterised in that including：
Support, processor, dispensing device and multiple electrodes, the processor and the multiple electrode are fixedly installed in the support
On；The processor is connected with the electrode and the dispensing device respectively；
The multiple electrode is placed to the support diverse location of drug abstainer head；
The multiple electrode is used to obtain in real time the EEG signals of the drug abstainer；
The processor is used to receive the EEG signals, exports whether the drug abstainer is in heart addiction according to the EEG signals
The status information of breaking-out；
After the dispensing device is used to receive the status information, the status information is sent to extraneous monitoring terminal.
2. according to claim 1 may move wears terminal, it is characterised in that the multiple electrode includes 5 collection electricity
Pole and 2 reference electrodes, 5 acquisition electrodes are placed in the central point of the drug abstainer head, left centre, the right side respectively
Centre, metopion and summit；The left ear-lobe and auris dextra that 2 reference electrodes are respectively placed at the drug abstainer hang down.
3. according to claim 1 may move wears terminal, it is characterised in that the multiple electrode is that non-intrusion type is adsorbed
Dry electrode.
4. according to claim 1 may move wears terminal, it is characterised in that the processor includes comparator, described
Whether comparator is used to compare the EEG signals and EEG signals under heart addiction breaking-out state, draw the drug abstainer in heart addiction
Breaking-out state.
5. according to claim 1 may move wears terminal, it is characterised in that the processor includes：
Wave filter, the wave filter is used to be filtered the EEG signals；
Amplifier, the amplifier is used to be amplified the EEG signals after filtering；
Analog-digital converter, the analog-digital converter is used to for simulation EEG signals to be converted to digital brain electrical signal.
6. according to claim 1 may move wears terminal, it is characterised in that also including power supply.
7. according to claim 1 may move wears terminal, it is characterised in that the dispensing device includes：Bluetooth module
Or WiFi module.
8. a kind of system of real-time monitoring drug abstainer heart addiction state, it is characterised in that including：Monitoring terminal and claim 1-7
Removable described in any one wears terminal, and the monitoring terminal receives the removable information for wearing terminal transmission.
9. the system of real-time monitoring drug abstainer heart addiction state according to claim 8, it is characterised in that the monitoring terminal
Including display device, the display device is used to show the removable information for wearing terminal transmission.
10. the system of real-time monitoring drug abstainer heart addiction state according to claim 8, it is characterised in that the monitoring end
It is mobile terminal to hold.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620927315.5U CN206183286U (en) | 2016-08-23 | 2016-08-23 | Portable terminal and system of wearing of real -time supervision rehabilitation person heart addiction state |
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|---|---|---|---|
| CN201620927315.5U CN206183286U (en) | 2016-08-23 | 2016-08-23 | Portable terminal and system of wearing of real -time supervision rehabilitation person heart addiction state |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107945094A (en) * | 2017-12-20 | 2018-04-20 | 中国科学院合肥物质科学研究院 | One kind is directed to addict received treatment's numeral rehabilitation system |
| CN112617824A (en) * | 2020-12-09 | 2021-04-09 | 中南民族大学 | Ice drug addict detection method and system based on multichannel fNIRS signals |
-
2016
- 2016-08-23 CN CN201620927315.5U patent/CN206183286U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107945094A (en) * | 2017-12-20 | 2018-04-20 | 中国科学院合肥物质科学研究院 | One kind is directed to addict received treatment's numeral rehabilitation system |
| CN107945094B (en) * | 2017-12-20 | 2021-04-20 | 中国科学院合肥物质科学研究院 | Digital rehabilitation system for drug-dropping personnel |
| CN112617824A (en) * | 2020-12-09 | 2021-04-09 | 中南民族大学 | Ice drug addict detection method and system based on multichannel fNIRS signals |
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