CN209203247U - The wearable bracelet with intervention is monitored for phrenoblabia convalescence mood - Google Patents
The wearable bracelet with intervention is monitored for phrenoblabia convalescence mood Download PDFInfo
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- CN209203247U CN209203247U CN201721035895.8U CN201721035895U CN209203247U CN 209203247 U CN209203247 U CN 209203247U CN 201721035895 U CN201721035895 U CN 201721035895U CN 209203247 U CN209203247 U CN 209203247U
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Abstract
The utility model discloses a kind of wearable bracelets monitored for phrenoblabia convalescence mood with intervention.The bracelet includes bracelet main body, impedance piece, EGC sensor, myoelectric sensor, communication part, voice collection assembly, storage assembly, microcurrent stimulating component, Power Supply Assembly, switch block, display screen and controller;EGC sensor, myoelectric sensor, impedance piece and microcurrent stimulating component be all connected in bracelet main body with for respectively with the skin contact of patient with phychlogical problems;Power Supply Assembly, switch block and display screen are all connected on the outer wall of bracelet main body, are surrounded by accommodating cavity between display screen and the outer wall of bracelet main body;Voice collection assembly, storage assembly, communication part and controller are respectively positioned in accommodating cavity;Controller and EGC sensor, myoelectric sensor, communication part, storage assembly, microcurrent stimulating component, switch block and display screen are electrically connected.The bracelet is easy to use, feature-rich.
Description
Technical field
The utility model relates to wearable device fields, supervise more particularly to one kind for phrenoblabia convalescence mood
The wearable bracelet surveyed and intervened.
Background technique
The rehabilitation course of convalescence patient with phychlogical problems includes two big core procedures --- mood monitoring and Emotional intervention.Mesh
Before depend on using measurement table (including emotional state behavior assessment, mood speciality assessment, motion management assessment etc.) carry out
Mood assessments, and pass through the Emotional intervention of the participation of medical staff and intervention completion patient.
The convalescent mood of phrenoblabia, which is tested and assessed and intervened, at this stage is all largely dependent upon health care professional, and one
Aspect is limited to the phrenoblabia specialty on rehabilitation medical care talent in short supply at present, leads to the convalescent motion management work of phrenoblabia
It can only be completed in Partial Hospitals, still there are a large amount of patients with phychlogical problems to cannot get corresponding motion management rehabilitation training, serious shadow
Ring the rehabilitation efficacy and quality of life of patient;On the other hand, it tests and assesses in existing motion management and is depended on the technical method intervened
The result of the personal experience of health care professional, motion management lack quantifiable index, cause existing motion management subjective
Property it is extremely strong, introduce many uncertain factors for entire motion management process.Meanwhile existing motion management technology, due to limited
In conditions such as personnel, equipment, it can only carry out in hospital, obtained related emotional management result is all on time and space
Discrete, and a kind of instinct of the mood as the mankind, it is not present in the life of people, also changes at any time all the time
A possibility that, and compared to hospital, the mood in daily life reflects that, closer to most true emotional status, these demands exist
It cannot achieve in existing motion management technology.
Utility model content
Based on this, it is necessary to provide a kind of easy to use, feature-rich, may be implemented to believe based on multi-physiological-parameter and voice
Number mood is objective, quantization, continuous monitoring, and intervened when recognizing abnormal emotion for phrenoblabia convalescence feelings
Wearable bracelet thread monitoring and intervened.
A kind of wearable bracelet monitored for phrenoblabia convalescence mood with intervention, including bracelet main body, impedance
Piece, EGC sensor, myoelectric sensor, communication part, voice collection assembly, storage assembly, microcurrent stimulating component, power supply group
Part, switch block, display screen and controller;
The EGC sensor, the myoelectric sensor, the impedance piece and the microcurrent stimulating component are all connected with
In in the bracelet main body;The Power Supply Assembly, the switch block and the display screen are all connected to the bracelet main body
Outer wall on, be surrounded by accommodating cavity between the display screen and the outer wall of the bracelet main body;It is the voice collection assembly, described
Storage assembly, the communication part and the controller are respectively positioned in the accommodating cavity;The controller and the electrocardio pass
Sensor, the myoelectric sensor, the communication part, the storage assembly, the microcurrent stimulating component, the switch block
And the display screen is electrically connected;It is described when emotional state is Negative Emotional and Negative Emotional intensity superelevation preset threshold
Controller controls the microcurrent stimulating component operation.
Have on the inner wall of the bracelet main body in one of the embodiments, there are two the impedance piece that diameter is 3mm,
The outer surface of the impedance piece successively has 320 μm of copper plate and 2 μm of Gold plated Layer, the center of two impedance pieces
Distance is 30mm.
The bracelet main body is flexible circuit board in one of the embodiments,;The EGC sensor, the myoelectricity
Sensor, the impedance piece and the microcurrent stimulating component are embedded in inside the bracelet main body, the bracelet main body
The signal wire for being internally integrated the EGC sensor, the myoelectric sensor signal wire, the microcurrent stimulating component
Signal wire and the Power Supply Assembly electric current transmission line, the signal wire of the EGC sensor, the myoelectric sensor
The electric current transmission line of signal wire, the signal wire of the microcurrent stimulating component and the Power Supply Assembly with the bracelet main body
It is electrically connected, the impedance piece is distributed on the integrated channel of the bracelet main body inner wall.
The EGC sensor includes that green luminescence LED and wavelength and the green light are sent out in one of the embodiments,
The corresponding photosensitive sensor of light LED, the green light that the green luminescence LED can issue wavelength 525nm, brightness is 700, the light
The sensitivity wavelength of dependent sensor is 555nm.
The myoelectric sensor includes array stemness electrode and myoelectricity analog acquisition electricity in one of the embodiments,
Road, the myoelectricity analog acquisition circuit include sequentially connected preposition protection circuit, primary amplifying circuit, low-pass filter circuit,
High-pass filtering circuit, 50Hz power frequency notch filter, final stage amplifying circuit and level shifting circuit.
The communication part has CC2640R2F chip in one of the embodiments,.
The voice collection assembly is built-in microphone in one of the embodiments, and the voice collection assembly is used for
Voice signal around acquisition patient with phychlogical problems in real time, and transmitting voice signal collected to the storage assembly is carried out
It saves.
The microcurrent stimulating component includes that impulse generator and pulse current adjust electricity in one of the embodiments,
Road, the pulse current adjust circuit and connect with the impulse generator with the intensity for adjusting pulse current;When the control
When the emotional state that device processed recognizes is Negative Emotional and Negative Emotional intensity superelevation preset threshold, the pulse current adjusts electricity
Road is worked to the impulse generator to export the pulse current directlyed proportional to the intensity of Negative Emotional and through the bracelet main body
Act on the skin of patient with phychlogical problems.
The Power Supply Assembly is transparent amorphous silicon thin-film solar cell, the power supply group in one of the embodiments,
For the top layer of part using oxidic transparent conductive film as preceding electrode, the middle layer of the Power Supply Assembly uses PIN junction amorphous silicon
Film, the bottom of the Power Supply Assembly is using oxidic transparent conductive film as back electrode.
It in one of the embodiments, further include power management component, the power management component is located at the accommodating cavity
It is interior;The power management component and the controller are electrically connected;The power management component can generate negative power supply and energy
It is enough to filter out ripple in negative power output end increase filter capacitor to realize dual power supply.
The above-mentioned wearable bracelet for being used for the monitoring of phrenoblabia convalescence mood with intervening is easy to use, function is rich
Wearable technology, speech recognition technology is utilized in richness, may be implemented the mood based on multi-physiological-parameter and voice signal it is objective,
Quantization, continuous monitoring, and intervened when recognizing abnormal emotion, it is most true to be conducive to the record patient under daily life state
Real emotional state, and by intervening in time patient with phychlogical problems's abnormal emotion is reduced or even eliminated to patient, other people and society
It can bring harm.
Above-mentioned monitors the wearable bracelet with intervention for phrenoblabia convalescence mood, passes through wearable bracelet
Electrocardio, electromyography signal and the voice messaging of record patient in real time, and mood associated eigenvalue is obtained by extracting, it obtains in real time
Emotional state.The wearable bracelet with intervention is monitored for phrenoblabia convalescence mood by above-mentioned, essence may be implemented
Mood real-time monitoring in refreshing impaired patients daily life obtains most guaranteeing feelings close to the physiological signal under true emotional state
The reliability and accuracy in physiological signal source in thread identification.
Above-mentioned monitors the wearable bracelet with intervention for phrenoblabia convalescence mood, is separately integrated with micro-current thorn
Swash module, after the real-time Negative Emotional detected is more than preset threshold value, microcurrent stimulating module can export pulse electricity
Stream, and the intensity of pulse current is directly proportional to real-time Negative Emotional intensity, to prompt patient with phychlogical problems itself, helps
It helps it objectively to recognize the Negative Emotional of oneself, early to carry out mood adjustment, utmostly reduces because of phrenoblabia
Patient recognize not in time the Negative Emotional of oneself or can not adjust oneself Negative Emotional and to oneself, other people, social band
The harm come.
Above-mentioned monitors the wearable bracelet with intervention for phrenoblabia convalescence mood, realizes mood real-time monitoring
With the timely intervention of Negative Emotional, overcomes Traditional Spirit obstacle convalescence and need health care professional's intervention that could complete mood
Limitation brought by managing, more breaching previous patient with phychlogical problems only just can be carried out health in related qualification hospital
Territory restriction brought by multiple phase emotion management training, allows more patients with phychlogical problems that can complete convalescent motion management
Training promotes rehabilitation efficacy.
Above-mentioned monitors the wearable bracelet with intervention for phrenoblabia convalescence mood, records the heart of patient in real time
Electricity, electromyography signal and voice messaging, and handle to obtain mood associated eigenvalue by series of algorithms, it is patient with phychlogical problems
The assessment of mood introduces objective quantizating index, avoids the Subjective Factors of his evaluation table in Traditional measurements method, ensure that
The coherence and continuity of mood assessments.
Detailed description of the invention
Fig. 1 is the monitoring of phrenoblabia convalescence mood and the interfering system general construction schematic diagram of an embodiment;
Fig. 2 is the wearable hand ring diagram of the monitoring and interfering system of phrenoblabia convalescence mood shown in Fig. 1;
Fig. 3 is the wearable bracelet functional structure frame of the monitoring and interfering system of phrenoblabia convalescence mood shown in Fig. 1
Figure;
Fig. 4 is the electrocardio sensing of the monitoring and the wearable bracelet of interfering system of phrenoblabia convalescence mood shown in Fig. 1
Device schematic diagram;
Fig. 5 is that the monitoring of phrenoblabia convalescence mood shown in Fig. 1 and the myoelectricity of the wearable bracelet of interfering system are simulated
Acquisition Circuit schematic diagram;
Fig. 6 is that the monitoring of phrenoblabia convalescence mood shown in Fig. 1 is located in advance with voice signal in the intelligent terminal of interfering system
Manage flow chart;
Fig. 7 is to calculate voice mood in the monitoring of phrenoblabia convalescence mood shown in Fig. 1 and the intelligent terminal of interfering system
The architecture diagram of characteristic value;
Fig. 8 is the monitoring of phrenoblabia convalescence mood shown in Fig. 1 and classification of speech signals in the intelligent terminal of interfering system
Device trains flow chart;
Fig. 9 is the monitoring of phrenoblabia convalescence mood shown in Fig. 1 and classification of speech signals in the intelligent terminal of interfering system
Device identification process figure;
Figure 10 is the power management of the monitoring and the wearable bracelet of interfering system of phrenoblabia convalescence mood shown in Fig. 1
Assembly principle figure.
Description of symbols
10, the monitoring of phrenoblabia convalescence mood and interfering system;100, wearable bracelet;110, bracelet main body;120,
Impedance piece;130, EGC sensor;140, myoelectric sensor;150, communication part;160, voice collection assembly;170, it stores
Component;180, microcurrent stimulating component;190, Power Supply Assembly;1100, switch block;1110, display screen;1120, controller;
1130, power management component;200, intelligent terminal.
Specific embodiment
The utility model is more fully retouched below with reference to relevant drawings for the ease of understanding the utility model,
It states.The preferred embodiment of the utility model is given in attached drawing.But the utility model can come in many different forms in fact
It is existing, however it is not limited to embodiment described herein.On the contrary, purpose of providing these embodiments is makes public affairs to the utility model
The understanding for opening content is more thorough and comprehensive.
It should be noted that it can directly on the other element when element is referred to as " being fixed on " another element
Or there may also be elements placed in the middle.When an element is considered as " connection " another element, it, which can be, is directly connected to
To another element or it may be simultaneously present centering elements.
Unless otherwise defined, all technical and scientific terms used herein are led with the technology for belonging to the utility model
The normally understood meaning of the technical staff in domain is identical.Terminology used in the description of the utility model herein only be
The purpose of description specific embodiment, it is not intended that in limitation the utility model.Term as used herein "and/or" includes
Any and all combinations of one or more related listed items.
Shown in Figure 1, the present embodiment relates to a kind of monitoring of phrenoblabia convalescence mood and interfering system 10.The essence
Refreshing obstacle convalescence mood monitoring and interfering system 10 include wearable bracelet 100 and intelligent terminal 200.In the present embodiment
Communication part can be bluetooth communication component 150.
Shown in Figure 2, above-mentioned wearable bracelet 100 has bracelet main body 110, impedance piece 120, EGC sensor
130, myoelectric sensor 140, voice collection assembly 160, communication part 150, storage assembly 170, microcurrent stimulating component 180,
Power Supply Assembly 190, switch block 1100, display screen 1110 and controller 1120.
EGC sensor 130, myoelectric sensor 140, impedance piece 120 and microcurrent stimulating component 180 are all connected to hand
In ring main body 110 with for respectively with the skin contact of patient with phychlogical problems;Power Supply Assembly 190, switch block 1100 and aobvious
Display screen 1110 is all connected on the outer wall of bracelet main body 110, is surrounded by between display screen 1110 and the outer wall of bracelet main body 110
Accommodating cavity;Communication part 150, storage assembly 170, voice collection assembly 160 and controller 1120 are respectively positioned in accommodating cavity;
It is shown in Figure 3, controller 1120 and EGC sensor 130, myoelectric sensor 140, voice collection assembly 160,
Storage assembly 170, microcurrent stimulating component 180, switch block 1100 and display screen 1110 are electrically connected.
It is shown in Figure 4,130 schematic diagram of EGC sensor of wearable bracelet.
Controller 1120 is connect with intelligent terminal 200.
Intelligent terminal 200 is used to receive the electrocardiosignal and electromyography signal that the wearable transmission of bracelet 100 comes, and can be in the heart
Pattern classification is carried out after the pretreatment of electric signal and characteristics extraction, the pretreatment of electromyography signal and characteristics extraction, to obtain
The real-time emotion state of patient with phychlogical problems.When obtained real-time emotion state is Positive emotion or Negative Emotional, intelligence is eventually
End 200 generates primary return and records the wearable bracelet of instruction notification for the stored voice signal of storage assembly 170 through communication part
150 are transferred on intelligent terminal 200.Intelligent terminal 200 is also used to receive the voice signal that the transmission of wearable bracelet comes, and
After pretreatment and the characteristics extraction of completing voice signal, further progress classifier training and classifier identification, to be had
The emotional state intensity of the emotional state classification of body.It is more than default when intelligent terminal 200 recognizes Negative Emotional and emotional intensity
When threshold value, intelligent terminal 200 generates 180 enabled instruction of microcurrent stimulating component and is controlled by controller 1120 wearable
Formula bracelet starts microcurrent stimulating component 180 and works.
In one embodiment, have the impedance piece 120 there are two diameter for 3mm, impedance piece on the inner wall of bracelet main body 110
120, which obtain outer surface, successively has 320 μm of copper plate and 2 μm of Gold plated Layer, and the distance at the center of two impedance pieces 120 is
30mm.Impedance piece 120 is used to stablize the contact impedance of skin and sensor.
In one embodiment, bracelet main body 110 is flexible circuit board.EGC sensor 130, myoelectric sensor 140,
Impedance piece 120 and microcurrent stimulating component 180 are embedded in inside bracelet main body 110.Bracelet main body 110 has been internally integrated
The signal wire of EGC sensor 130, the signal wire of myoelectric sensor 140, the signal wire of microcurrent stimulating component 180 and power supply
The electric current transmission line of component 190, the signal wire of EGC sensor 130, the signal wire of myoelectric sensor 140, microcurrent stimulating group
The signal wire of part 180 and the electric current transmission line of Power Supply Assembly 190 are electrically connected with bracelet main body 110.Impedance piece 120 is distributed
On the integrated channel of 110 inner wall of bracelet main body.
In one embodiment, EGC sensor 130 includes that green luminescence LED and wavelength are corresponding with green luminescence LED
Photosensitive sensor, the wavelength 525nm of green luminescence LED, brightness are 700 luminous intensities, the sensitivity wavelength of photosensitive sensor
For 555nm.Preferably, the green light that the green luminescence LED can issue wavelength 525nm, brightness is 700, the green luminescence
LED can select AM2520 patch green light LED.It is the Sharp of 555nm that photosensitive sensor, which can select sensitivity wavelength,
GA1A1S202WP ambient light sensor.
Shown in Figure 5, in one embodiment, myoelectric sensor 140 includes that array stemness electrode and myoelectricity are simulated
Acquisition Circuit, myoelectricity analog acquisition circuit include sequentially connected preposition protection circuit, primary amplifying circuit, low-pass filtering electricity
Road, high-pass filtering circuit, 50Hz power frequency notch filter, final stage amplifying circuit and level shifting circuit.The myoelectricity of wearable bracelet
Analog acquisition circuit diagram is referring to shown in attached drawing 5.
In one embodiment, voice collection assembly is built-in microphone, and voice collection assembly for acquiring spirit in real time
Voice signal around impaired patients, and transmitting voice signal collected to storage assembly 170 is saved.
In one embodiment, microcurrent stimulating component 180 includes that impulse generator and pulse current adjust circuit, pulse
Current regulating circuit is connect with the intensity for adjusting pulse current with impulse generator;When the mood that controller 1120 recognizes
When state is Negative Emotional and Negative Emotional intensity superelevation preset threshold, pulse current adjust circuit and impulse generator work with
It exports the pulse current directly proportional to the intensity of Negative Emotional and acts on the skin of patient with phychlogical problems through bracelet main body 110.
Impulse generator can produce the asymmetric long square wave of bipolarity that power frequency is 100mHz, and have 0.25 second, 0.5 second, 0.75
Second and 1 second four kinds of pulsewidth.
In one embodiment, communication part 150 has CC2640R2F chip, can use TI company CC2640R2F
Chip is to realize the bluetooth communication based on 5.0 technical standard of bluetooth.
In one embodiment, Power Supply Assembly 190 can be solar battery.In the present embodiment, Power Supply Assembly 190 is
Transparent amorphous silicon thin-film solar cell, the top layer of Power Supply Assembly 190, as preceding electrode, are supplied using oxidic transparent conductive film
The middle layer of electrical component 190 uses PIN junction amorphous silicon membrane, and the bottom of Power Supply Assembly 190 uses oxidic transparent conductive film
As back electrode.
It in one embodiment, further include power management component 1130, power management component is located in accommodating cavity;Power supply pipe
It manages component and controller 1120 is electrically connected;Power management component can generate negative power supply and can be in negative power output end
Increase filter capacitor and filters out ripple to realize dual power supply.The schematic diagram of power management component 1130 is shown in Figure 10.
In one embodiment, 200 smart phones of intelligent terminal, tablet computer or smartwatch.
The above-mentioned monitoring of phrenoblabia convalescence mood and interfering system 10, easy to use, feature-rich, being utilized can wear
Technology, speech recognition technology are worn, the objective mood based on multi-physiological-parameter and voice signal, quantization, continuous monitoring may be implemented,
And intervened when recognizing abnormal emotion, be conducive to record the most true emotional state of patient under daily life state,
And patient with phychlogical problems's abnormal emotion is reduced or even eliminated to patient, other people and social bring harm by intervening in time.
The above-mentioned monitoring of phrenoblabia convalescence mood and interfering system 10, records patient by wearable bracelet in real time
Electrocardio, electromyography signal and voice messaging, and by extract obtain mood associated eigenvalue, obtain real-time emotion state.It is logical
The above-mentioned monitoring of phrenoblabia convalescence mood and interfering system 10 are crossed, the feelings in patient with phychlogical problems's daily life may be implemented
Thread real-time monitoring, obtains most close to the physiological signal under true emotional state, and guarantee physiological signal source in Emotion identification can
By property and accuracy.
The above-mentioned monitoring of phrenoblabia convalescence mood and interfering system 10, is separately integrated with microcurrent stimulating component 180,
After the real-time Negative Emotional detected is more than preset threshold value, microcurrent stimulating component 180 can export pulse current, and
The intensity of pulse current is directly proportional to real-time Negative Emotional intensity, to prompt patient with phychlogical problems itself, helps it
Objectively recognize the Negative Emotional of oneself, early to carry out mood adjustment, utmostly reduces because of patient with phychlogical problems
Recognize not in time the Negative Emotional of oneself or can not adjust oneself Negative Emotional and to oneself, other people, social bring
Harm.
The above-mentioned monitoring of phrenoblabia convalescence mood and interfering system 10, realization mood real-time monitoring and Negative Emotional
Intervene in time, overcomes Traditional Spirit obstacle convalescence and need health care professional's intervention that could complete brought by motion management
Limitation, more breaching previous patient with phychlogical problems only just can be carried out convalescence motion management in related qualification hospital
Territory restriction brought by training allows more patients with phychlogical problems that can complete convalescent emotion management training, promotes health
Multiple effect.
The above-mentioned monitoring of phrenoblabia convalescence mood and interfering system 10, records electrocardio, the electromyography signal of patient in real time
And voice messaging, and handle to obtain mood associated eigenvalue by series of algorithms, it is the assessment of patient with phychlogical problems's mood
Objective quantizating index is introduced, the Subjective Factors of his evaluation table in Traditional measurements method is avoided, ensure that mood assessments
Coherence and continuity.
Above-mentioned phrenoblabia convalescence mood monitoring is monitored with interfering system 10 for phrenoblabia convalescence mood
With a kind of monitoring of phrenoblabia convalescence mood and interference method are related to when intervening.
A kind of monitoring of phrenoblabia convalescence mood includes the following steps: with interference method
EGC sensor 130 acquires the electrocardiosignal of patient with phychlogical problems, and myoelectric sensor 140 acquires patient with phychlogical problems
Electromyography signal, voice collection assembly acquire patient with phychlogical problems around voice signal.
Collected electrocardiosignal, electromyography signal are transferred to intelligent terminal by communication part 150 by controller 1120
200, the pretreatment and phase of electromyography signal are extracted with individual features value, are carried out in the pretreatment that intelligent terminal 200 carries out electrocardiosignal
Characteristics extraction, the pretreatment for carrying out voice signal and individual features value is answered to extract.
Intelligent terminal 200 obtains mood correlation by individual features value, the individual features value of electromyography signal of electrocardiosignal
Mood associated eigenvalue is compared with preset Emotion identification model for characteristic value, intelligent terminal 200, obtains real-time emotion shape
State;When real-time emotion state is Positive emotion or Negative Emotional, intelligent terminal 200 generates primary return and records instruction, intelligent terminal
The corresponding voice messaging of 200 extraction voice signals is simultaneously saved.
When the real-time emotion state detected is Negative Emotional and the Negative Emotional is more than preset threshold, intelligent terminal
200 180 enabled instructions of microcurrent stimulating component of generation simultaneously control the micro- electricity of wearable bracelet starting by controller 1120
Stream stimulation component 180 works, and microcurrent stimulating component 180 exports pulse current and prompts patient with phychlogical problems.Wherein, arteries and veins
The intensity for rushing electric current is directly proportional to the intensity of Negative Emotional.
In one embodiment, real-time emotion state is detected to judge whether the Negative Emotional is more than default after Negative Emotional
When threshold value, specifically comprise the following steps:
Intelligent terminal 200, with after corresponding characteristics extraction, carries out classifier training in the pretreatment for completing voice signal
Identify that, to obtain the emotional state intensity of real-time emotion state, intelligent terminal 200 judges that emotional state intensity is more than with classifier
Preset threshold.
In one embodiment, it obtains specifically comprising the following steps: when real-time emotion state
Intelligent terminal 200 extracts, at the signal of electromyography signal in the signal processing and individual features value for completing electrocardiosignal
After reason and individual features value are extracted, pattern classification further is carried out to electrocardiosignal and electromyography signal, to obtain real-time emotion shape
State specifically includes:
1) the feature weight value of each individual features value is initialized;
2) weight that each dimensional characteristics are calculated by Relief algorithm eliminates the lesser feature of weighted value;
3) feature vector after selection is subjected to classified calculating using classifier;
4) classification results of real-time emotion state are obtained.
Shown in Figure 8, in one embodiment, classifier training specifically includes: establishing the good voice letter of manual sort
Number file set extracts characteristic parameter module for voice signal each in voice signal file set and extracts characteristic parameter, will be every
The characteristic parameter of a voice signal and the label of manual sort put together to be formed for classifier modules study a tape label
Feature vector, the feature vector of tape label that all voice signal files are formed is put together, the feature of tape label is formed
Vector set is trained using this feature vector set as training data for classifier, generates the classifier trained;
Shown in Figure 9, classifier identification specifically includes: after being successfully trained to classifier, by language to be sorted
Sound signal is input in characteristic parameter extraction module, is generated corresponding set of eigenvectors (this feature vector set not tape label), then
This set of eigenvectors is input in the classifier trained, the emotional state classification and corresponding feelings of the voice signal are generated
Not-ready status intensity.
In one embodiment, communication part 150 is with bluetooth 5.0 for technical standard and by using 2Mbps PHY:
HC1_LE_Set Default Phy Cmd indicates that controller starts PHY renewal process.
In one of the embodiments, further include following steps: intelligent terminal 200 makees the electrocardiosignal received as follows
Processing:
1) baseline drift, myoelectricity noise and the Hz noise of electrocardiosignal are removed by Butterworth filter, and are passed through
The output of Butterworth filter returns again to, and inhibits phase distortion by Butterworth filter gain;
2) characteristic point of electrocardiosignal is identified by Wavelet transformation;
It 3) include calculating when calculating the individual features value of electrocardiosignal: average value, standard deviation, first-order difference, normalization one
Order difference, second differnce, normalization second differnce, ecg-r wave wave crest, electrocardio P wave wave crest, electrocardio T wave wave crest, the interval P-Q, Q-
The interval S, the numerical value at the interval S-T, the first-order difference of adjacent P wave and T wave, QRS period, heart rate and heart rate variability numerical value.
In one of the embodiments, further include following steps: intelligent terminal 200 does the electromyography signal received as follows
Processing:
1) after electromyography signal being amplified 2000-5000 times, ambient noise, motion artifacts, interior is removed by bandpass filter
Unstability generate noise;
2) electromyography signal is sampled with the sample frequency of 1kHz, obtains the discrete value of electromyography signal;
3) by the analysis window electromyography signal that is applied to that treated;
4) include calculating when calculating the individual features value of electromyography signal in each analysis window: mean value, zero passage number,
Mean-square value, three rank moment of the origns, quadravalence moment of the orign, the mean power of power spectrum and median frequency and Wigner distribution.
In one embodiment, the voice signal around voice collection assembly acquisition patient with phychlogical problems specifically includes as follows
Step:
The voice signal around patient with phychlogical problems is acquired in real time by voice collection assembly, and voice collected is believed
Number being transmitted to memory module is saved, and memory module saves the data volume of the voice signal of 30min length, with new voice
The storage of signal, memory module delete the data volume of the voice signal before 30min length.
In one embodiment, intelligent terminal 200 extracts the corresponding voice messaging of voice signal and carries out saving specific packet
Include following steps:
When intelligent terminal 200 completes the pretreatment and the extraction of individual features value, the pre- place for completing electromyography signal of electrocardiosignal
After reason is extracted with individual features value, if obtained real-time emotion state is Positive emotion or Negative Emotional, intelligent terminal 200 is produced
Raw primary time record instruction is transmitted to Bluetooth transmission component, and the controller 1120 in wearable bracelet detects Bluetooth transmission component
When receiving back record instruction, the data volume of the voice signal of 30min stored in memory module is sent out through Bluetooth transmission component
It send to intelligent terminal 200.
In one embodiment, further include following steps:
Intelligent terminal 200 is handled the data volume of voice signal, specifically after receiving the data volume of voice signal
Include:
1) the data volume pretreatment of voice signal: including quantification treatment, preemphasis, sub-frame processing, windowing process;Voice letter
Number data volume pretreatment process figure it is shown in Figure 6.
2) it calculates voice mood characteristic value: serially the data volume of pretreated voice signal being carried out at voice signal
Reason, temporal signatures, fundamental frequency feature, voicing decision, word speed extraction, the formant for extracting the data volume of voice signal extract;Its
In, temporal signatures include short-time energy, short-time zero-crossing rate, in short-term auto-correlation coefficient and short-time average magnitade difference function;Fundamental frequency is characterized in
It is calculated by mean amplitude of tide difference function method and Cepstrum Method;Voicing decision is realized by Fisher classification;Word speed is characterized in
It is realized by the voice split plot design of wavelet transformation;Extracting formant is realized by linear predict code.Calculate voice mood
Characteristic value architecture diagram is shown in Figure 7, and temporal signatures, fundamental frequency feature, voicing decision, word speed are extracted, formant extracts difference
It is completed by temporal signatures module, fundamental frequency characteristic module, voicing decision module, word speed extraction module, formant extraction module.
Above-mentioned phrenoblabia convalescence mood monitoring and interference method, are utilized wearable technology, speech recognition technology
And machine learning techniques, the objective mood based on multi-physiological-parameter and voice signal, quantization, continuous monitoring may be implemented, and
Intervened when recognizing abnormal emotion, is conducive to record the most true emotional state of patient under daily life state, and
By intervening reduction in time or even eliminating patient with phychlogical problems's abnormal emotion to patient, other people and social bring harm.
Above-mentioned phrenoblabia convalescence mood monitoring and interference method, record patient's by wearable bracelet in real time
Electrocardiosignal, electromyography signal and voice messaging, collected electrocardiosignal, electromyography signal are transferred to intelligent terminal 200, immediately
It extracts to obtain mood associated eigenvalue by series of algorithms and be compared with Emotion identification model, obtain real-time emotion shape
State.When real-time emotion state is Positive emotion or Negative Emotional, generates primary return and record instruction, the last period automatically extracted immediately
The voice messaging of time is saved.By above-mentioned phrenoblabia convalescence mood monitoring and interference method, essence may be implemented
Mood real-time monitoring in refreshing impaired patients daily life obtains most guaranteeing feelings close to the physiological signal under true emotional state
The reliability and accuracy in physiological signal source in thread identification.Meanwhile memory can be saved by returning record instruction, and effectively record
To the relevant voice messaging of mood, accurately voice letter is provided for further fining assessment emotional intensity and disease course analysis
Breath.
Above-mentioned phrenoblabia convalescence mood monitoring and interference method, wearable bracelet are separately integrated with microcurrent stimulating
Component 180, after the real-time Negative Emotional detected is more than preset threshold, microcurrent stimulating component 180 can export pulse electricity
Stream, and the intensity of pulse current is directly proportional to real-time Negative Emotional intensity, to prompt patient with phychlogical problems itself, helps
It helps it objectively to recognize the Negative Emotional of oneself, early to carry out mood adjustment, utmostly reduces because of phrenoblabia
Patient recognize not in time the Negative Emotional of oneself or can not adjust oneself Negative Emotional and to oneself, other people, social band
The harm come.
Above-mentioned phrenoblabia convalescence mood monitoring and interference method realize that mood is supervised in real time by wearable bracelet
The timely intervention with Negative Emotional is surveyed, Traditional Spirit obstacle convalescence is overcome and needs health care professional's intervention that could complete feelings
Thread manages brought limitation, and more breaching previous patient with phychlogical problems only just can be carried out in related qualification hospital
Territory restriction brought by convalescence emotion management training allows more patients with phychlogical problems that can complete convalescent mood pipe
Reason training, promotes rehabilitation efficacy.
Above-mentioned phrenoblabia convalescence mood monitoring and interference method, record patient's by wearable bracelet in real time
Electrocardiosignal, electromyography signal and voice messaging, and handle to obtain mood associated eigenvalue by series of algorithms, for spirit barrier
Hinder the assessment of patient mood to introduce objective quantizating index, avoid the Subjective Factors of his evaluation table in Traditional measurements method,
It ensure that the coherence and continuity of mood assessments.Meanwhile mood assessments are after completing quantification of targets, can be each essence
Refreshing impaired patients establish the motion management database of itself, understand patient's health convenient for patient itself, family numbers of patients and medical staff
The whole process information of emotion management training in the multiple phase provides comprehensive and accurately data information for the adjustment of subsequent rehabilitation scheme.
With the continuous accumulation of related data, it will effectively improve through electrocardiosignal, electromyography signal and voice messaging and reflect spirit
The accuracy of impaired patients real-time emotion experience.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
Above-described embodiments merely represent several embodiments of the utility model, the description thereof is more specific and detailed,
But it should not be understood as limiting the scope of the patent of the utility model.It should be pointed out that for the common of this field
For technical staff, without departing from the concept of the premise utility, various modifications and improvements can be made, these all belong to
In the protection scope of the utility model.Therefore, the scope of protection shall be subject to the appended claims for the utility model patent.
Claims (9)
1. a kind of wearable bracelet monitored for phrenoblabia convalescence mood with intervention, which is characterized in that including bracelet
Main body, impedance piece, EGC sensor, myoelectric sensor, communication part, voice collection assembly, storage assembly, microcurrent stimulating group
Part, Power Supply Assembly, switch block, display screen and controller;
The EGC sensor, the myoelectric sensor, the impedance piece and the microcurrent stimulating component are all connected to institute
It states in bracelet main body;The Power Supply Assembly, the switch block and the display screen are all connected to the outer of the bracelet main body
On wall, accommodating cavity is surrounded by between the display screen and the outer wall of the bracelet main body;The voice collection assembly, the storage
Component, the communication part and the controller are respectively positioned in the accommodating cavity;The controller and the EGC sensor,
The myoelectric sensor, the communication part, the storage assembly, the microcurrent stimulating component, the switch block and
The display screen is electrically connected;When emotional state is Negative Emotional and Negative Emotional intensity superelevation preset threshold, the control
Device controls the microcurrent stimulating component operation.
2. the wearable bracelet according to claim 1 monitored for phrenoblabia convalescence mood with intervention, special
Sign is, has on the inner wall of the bracelet main body there are two the impedance piece that diameter is 3mm, the outer surface of the impedance piece according to
Secondary to have 320 μm of copper plate and 2 μm of Gold plated Layer, the distance at the center of two impedance pieces is 30mm.
3. the wearable bracelet according to claim 1 monitored for phrenoblabia convalescence mood with intervention, special
Sign is that the bracelet main body is flexible circuit board;The EGC sensor, the myoelectric sensor, the impedance piece with
And the microcurrent stimulating component is embedded in inside the bracelet main body, the bracelet main body has been internally integrated the electrocardio
The signal wire of sensor, the signal wire of the myoelectric sensor, the signal wire of the microcurrent stimulating component and the power supply
The electric current transmission line of component, the signal wire of the EGC sensor, the signal wire of the myoelectric sensor, the microcurrent stimulating
The electric current transmission line of the signal wire of component and the Power Supply Assembly is electrically connected with the bracelet main body, the impedance piece point
Cloth is on the integrated channel of the bracelet main body inner wall.
4. monitoring for phrenoblabia convalescence mood according to claim 1 to 3 is wearable with intervention
Bracelet, which is characterized in that the EGC sensor includes that green luminescence LED and wavelength are corresponding with the green luminescence LED
Photosensitive sensor, the green light that the green luminescence LED can issue wavelength 525nm, brightness is 700, the photosensitive sensor
Sensitivity wavelength is 555nm.
5. monitoring for phrenoblabia convalescence mood according to claim 1 to 3 is wearable with intervention
Bracelet, which is characterized in that the myoelectric sensor includes array stemness electrode and myoelectricity analog acquisition circuit, the myoelectricity mould
Quasi- Acquisition Circuit include sequentially connected preposition protection circuit, primary amplifying circuit, low-pass filter circuit, high-pass filtering circuit,
50Hz power frequency notch filter, final stage amplifying circuit and level shifting circuit.
6. monitoring for phrenoblabia convalescence mood according to claim 1 to 3 is wearable with intervention
Bracelet, which is characterized in that the communication part has CC2640R2F chip.
7. monitoring for phrenoblabia convalescence mood according to claim 1 to 3 is wearable with intervention
Bracelet, which is characterized in that the voice collection assembly is built-in microphone, and the voice collection assembly for acquiring spirit in real time
Voice signal around impaired patients, and transmitting voice signal collected to the storage assembly is saved.
8. monitoring for phrenoblabia convalescence mood according to claim 1 to 3 is wearable with intervention
Bracelet, which is characterized in that the microcurrent stimulating component includes impulse generator and pulse current adjusts circuit, the pulse electricity
Stream adjusts circuit and connect with the impulse generator with the intensity for adjusting pulse current;When the feelings that the controller recognizes
When not-ready status is Negative Emotional and Negative Emotional intensity superelevation preset threshold, the pulse current adjusts circuit and the pulse is sent out
Raw device work is to export the pulse current directly proportional to the intensity of Negative Emotional and act on phrenoblabia through the bracelet main body
The skin of patient.
9. monitoring for phrenoblabia convalescence mood according to claim 1 to 3 is wearable with intervention
Bracelet, which is characterized in that the Power Supply Assembly is transparent amorphous silicon thin-film solar cell, and the top layer of the Power Supply Assembly uses
Oxidic transparent conductive film uses PIN junction amorphous silicon membrane, the power supply as preceding electrode, the middle layer of the Power Supply Assembly
The bottom of component is using oxidic transparent conductive film as back electrode.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111631696A (en) * | 2020-06-04 | 2020-09-08 | 深圳市人民医院 | 5G network-based wearable device for hospital |
EP4113425A4 (en) * | 2020-02-28 | 2024-05-29 | Astellas Pharma Inc. | Wearable appliance, information processing device, information processing system, and program |
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2017
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP4113425A4 (en) * | 2020-02-28 | 2024-05-29 | Astellas Pharma Inc. | Wearable appliance, information processing device, information processing system, and program |
CN111631696A (en) * | 2020-06-04 | 2020-09-08 | 深圳市人民医院 | 5G network-based wearable device for hospital |
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