CN111227813A - Dual-dynamic evaluation and grading intervention device for psychological pressure and pelvic floor muscle force of puerpera - Google Patents
Dual-dynamic evaluation and grading intervention device for psychological pressure and pelvic floor muscle force of puerpera Download PDFInfo
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Abstract
A dual-dynamic evaluation and grading intervention device for the psychological pressure and the pelvic floor muscle force of a lying-in woman comprises a detection and music feedback terminal, a biological electrical stimulation feedback terminal and a main control unit; the detection and music feedback terminal and the biological electrical stimulation feedback terminal are connected with the main control unit; the detection and music feedback terminal collects the pulse wave signals at the ear and transmits the pulse wave signals to the main control unit; the sound wave converter receives the music electric signal sent by the main control unit and converts the music electric signal into a sound wave signal; the bioelectric stimulation feedback terminal comprises a pelvic floor muscle detection unit and a low-frequency current stimulation unit; the main control unit is an intelligent terminal and comprises a data processing unit, a psychological pressure evaluation unit, a pelvic floor muscle strength evaluation unit and an intelligent grading feedback unit. The intelligent and simple puerpera management system is intelligent and simple, can perform double dynamic evaluation on psychological pressure and pelvic floor muscle force of the puerpera in real time, performs intelligent graded feedback type treatment, adopts music treatment and biological electrical stimulation treatment, and facilitates physical and psychological health management of the puerpera.
Description
Technical Field
The invention relates to a device for dynamically evaluating the psychological pressure and the pelvic floor muscle force of a lying-in woman and performing biofeedback treatment, and belongs to the technical field of postpartum psychological state evaluation and feedback treatment.
Background
The psychological problems of the lying-in women and the reduction of the muscle strength of the pelvic floor are always the common problems of the obstetrics and gynecology department which affect the delivery quality and the postpartum recovery. The primiparous woman faces the pregnant and lying-in woman for the first time, and the family has increased attention to the pregnant and lying-in woman, so that fear, anxiety and lack of self-confidence easily occur, and the mental stress of the lying-in woman is increased; meanwhile, postpartum depression and serious psychological disorders are also likely to occur with the change of hormone levels in the body, especially pelvic floor muscles, after delivery.
Therefore, after delivery, the psychological pressure and the pelvic floor muscle force need to be evaluated dynamically, an intervention scheme is implemented according to the grading conclusion, the puerpera is guided to carry out rehabilitation training, the self-confidence of the puerpera is increased, and the physical and mental health is helped to be restored.
At present, equipment suitable for psychological pressure, pelvic floor muscle strength dual assessment and feedback treatment of a lying-in woman is rare, the psychological pressure of the lying-in woman is assessed through a self-assessment scale in most clinics, psychological intervention is performed through health education and psychological dispersion, subjectivity is strong, dynamic tracking is not easy to achieve, and graded feedback treatment cannot be achieved.
The searched document CN107411726A discloses "biological feedback control method and system based on HRV heart rate variability training", which only performs mental stress assessment and adopts a breathing feedback or virtual reality mode to perform feedback adjustment on mental stress, but cannot perform pelvic floor muscle strength assessment and grading feedback, and is not suitable for the group of lying-in women.
Disclosure of Invention
In view of the above, the present invention provides a dual dynamic evaluation and grading intervention device for mental pressure and pelvic floor muscle force of a puerperal woman, which can evaluate and grade the long-term dynamic mental pressure and pelvic floor muscle force of the puerperal woman.
The invention relates to a dual-dynamic evaluation and grading intervention device for the psychological pressure and the pelvic floor muscle force of a lying-in woman, which adopts the following technical scheme:
the detection device comprises a detection and music feedback terminal, a biological electrical stimulation feedback terminal and a main control unit; the detection and music feedback terminal and the biological electrical stimulation feedback terminal are connected with the main control unit;
the detection and music feedback terminal comprises a pulse wave detection unit and a music feedback unit; the pulse wave detection unit comprises a pulse wave sensor and a signal processing circuit, the pulse wave sensor is connected with the signal processing circuit, and the pulse wave sensor is used for collecting a pulse wave signal at the ear position between the external ear and the antitragus, and transmitting the pulse wave signal to the main control unit after filtering and amplifying the pulse wave signal by the signal processing circuit (the signal processing circuit is a filtering and amplifying circuit in the prior art, and the function of the pulse wave detection unit is to primarily filter and amplify the signal by hardware); the music feedback unit consists of a loudspeaker and a sound wave converter, the loudspeaker is connected with the sound wave converter, and the sound wave converter receives music electric signals sent by the main control unit, converts the music electric signals into sound wave signals and plays the sound wave signals through the loudspeaker. The detection and music feedback terminal further comprises a first wireless module, and the pulse wave detection unit and the music feedback unit are connected with the main control unit through the first wireless module.
The bioelectric stimulation feedback terminal comprises a pelvic floor muscle detection unit and a low-frequency current stimulation unit, wherein the pelvic floor muscle detection unit and the low-frequency current stimulation unit are connected with the main control unit. The pelvic floor muscle detection unit can adopt the existing pelvic floor muscle detector, and the low-frequency current stimulation unit can adopt the existing low-frequency micro-current stimulator. The bioelectric stimulation feedback terminal further comprises a second wireless module, and the pelvic floor muscle detection unit and the low-frequency current stimulation unit are connected with the second wireless module and connected with the main control unit through the second wireless module.
The main control unit is an intelligent terminal (comprising a mobile phone, a tablet or a computer and the like), and comprises a data processing unit, a psychological pressure evaluation unit, a pelvic floor muscle strength evaluation unit and an intelligent grading feedback unit; the main control unit receives the ear pulse wave signals (the ear pulse wave signals processed by the signal processing circuit) and sends the ear pulse wave signals to the data processing unit for processing; the main control unit controls the music feedback unit to implement music treatment intervention and controls the bioelectric stimulation feedback terminal to implement bioelectric stimulation treatment;
the data processing unit is used for performing signal filtering noise reduction (secondary noise reduction, the noise reduction method is a Butterworth band-pass filter in the prior art), signal quality QS evaluation and feature extraction on the received ear pulse wave signals to obtain RR intervals; the specific process is as follows:
firstly, based on the analysis of the obtained ear pulse wave signal segments (every 4S, recorded as S1), filtering and denoising by a 0.5-10Hz Butterworth band-pass filter to obtain a denoised signal S2;
secondly, respectively carrying out power spectrum analysis on the S1 signal and the corresponding S2 signal, and calculating average powers P1 and P2 of the S1 signal and the S2 signal, wherein the signal quality QS is P2/P1, and the larger the QS value is, the higher the signal quality is;
finally, updating the display signal quality value every 4s, and taking QS>0.5 signal segment is used as effective data segment to extract RR interval Rp。
The psychological pressure evaluation unit is used for receiving the cardiac cycle sequence R obtained by the data processing unitpAnd performing self-rating scale evaluation and heart rate variability evaluation, and calculating a depression grading index DEPI and a mental stress grading index PSI, wherein the specific processes are as follows:
firstly, inputting a self-rating scale of the lying-in woman to evaluate the depression degree; selecting a mental health clinical symptom self-rating scale SCL-90, picking depression related questions (13 questions in total) for evaluation, and giving a 5-grade depression grading index DEPI:
none of: 0-grade DEPI is 0;
very light: 1-grade DEPI is 1;
medium: 2-grade DEPI is 2;
the weight is biased: 3-grade DEPI is 3;
severe: 4-grade DEPI ═ 4.
The data processing unit then obtains a sequence of cardiac cycles R by calculating using a heart rate variability analysis (prior art)pCalculating a mental stress quantized value SI through a neural network algorithm according to the time domain index and the frequency domain index; in particular toThe following were used: the SI and the cardiac cycle sequence R are established through an artificial neural network in advancepModel formula O ofp＝g(f(W1′T*Rp+b1T)*W2′T+b2T) In which O ispQuantifying the value SI for the stress, f is the excitation function of the middle layer, g is the SoftMax function of the output layer, RpIs a cardiac cycle sequence set, W1'T、W2′T、b1TAnd b2TThe weight coefficients are formed after network training; when new pulse wave signals are acquired, a cardiac cycle sequence R is extractedpThen, inputting the data into the formula, calculating a quantified value SI of the mental pressure in real time, wherein the larger the numerical value of the SI is, the larger the mental pressure is, then equally segmenting the SI to obtain a mental pressure classification index PSI with the classification of 0-4 grades, which respectively comprises the following steps:
| SI value | Mental stress grading index PSI | Degree of mental stress |
| SI≤20 | 0 | Is not provided with |
| 21≤SI≤40 | 1 | Is very light |
| 41≤SI≤60 | 2 | Medium and high grade |
| 61≤SI≤80 | 3 | Weight bias |
| 81≤SI≤100 | 4 | Severe severity of disease |
And the pelvic floor muscle force evaluation unit constructs a 0-3 level pelvic floor muscle force classification index MSI according to a GLAZER pelvic floor muscle surface myoelectricity evaluation method. The specific process is as follows: calculating the mean square root value Preb of the resting state baseline at 60 seconds of relaxation and the average value Aver of the maximum values of 5 rapid contractions, solving the ratio Q of Preb to Aver, and then calculating the pelvic floor muscle strength grading index MSI, wherein the grading standard is as follows:
| q value | Pelvic floor muscle force grading index MSI | Degree of pelvic floor muscle contraction dysfunction |
| Q≥20.0 | 0 | Is not provided with |
| 18.0＜Q＜20.0 | 1 | Is very light |
| 17.0≤Q＜18.0 | 2 | Medium and high grade |
| Q＜17.0 | 3 | Weight bias |
The intelligent grading feedback unit calculates a psychological pressure feedback grading index FS according to the depression grading index DEPI and the mental pressure grading index PSI, gives music feedback measures according to the FS, monitors the change of a mental pressure quantitative value in real time while performing music treatment, evaluates the treatment effect and adjusts a treatment scheme; and (4) implementing the bioelectric stimulation feedback treatment according to the pelvic floor muscle force grading index MSI.
The music feedback treatment given according to FS is specifically:
FS is 0, a feedback scheme is not carried out, and good living habits are continuously kept through voice prompt; FS 1, treatment with soothing music for 15 minutes; FS is 2, and the deep treatment is carried out for 30 minutes by adopting soothing music; the FS is 3, the soothing type music and the shaking type music are alternately used for treating for 40 minutes, and relieving modes such as sufficient sleep, proper outdoor exercise and the like are prompted; the FS is 4, the soothing type music and the shaking type music are alternately used for treating for 60 minutes, the meditation voice is used for treating for 15 minutes, and the relief modes of ensuring sufficient sleep, performing proper outdoor exercises and the like are prompted; FS is more than or equal to 5, prompt for medical treatment in time;
the bioelectric stimulation feedback treatment implemented according to the pelvic floor muscle force grading index MSI specifically comprises:
MSI is 0, no treatment; 1, 1 MSI (1), wherein the low-frequency 100Hz current stimulation is used for 1 treatment course, 1 treatment course is 7 days, and the treatment time is 20 minutes each time; 2, 2 treatment courses of MSI, wherein the low-frequency 50Hz current is used for deep treatment, 1 treatment course is 7 days, and the treatment time is 30 minutes each time; and (3) performing feedback treatment, detecting low-frequency 50Hz current along with myoelectric signals, synchronously treating when muscles contract, wherein the treatment course is 3, 1 treatment course is 7 days, and the treatment time is 45 minutes each time.
The main control unit further comprises a display unit and an alarm unit:
the display unit displays the indexes such as the depression grading index DEPI, the mental pressure grading index PSI, the mental pressure feedback grading index FS, the pelvic floor muscle strength grading index MSI and the like in real time, displays the evaluation process of the self-rating scale and displays all detection results in the whole measurement process (also comprises the personalized selection of a music treatment scheme and an electric stimulation treatment scheme);
the alarm unit (such as image-text display and voice prompt on a mobile phone) is used for sending the depression grading index DEPI, the mental pressure grading index PSI, the mental pressure feedback grading index FS, the pelvic floor muscle strength grading index MSI and the treatment effect of the puerpera to a doctor end or a family terminal (a computer or a mobile phone) through the Internet for prompt.
The invention can conveniently collect pulse wave signals and pelvic floor muscle force signals, realize music and bioelectric stimulation treatment feedback, objectively and dynamically evaluate the psychological state and pelvic floor muscle force state of the lying-in woman in real time, perform graded music treatment and bioelectric stimulation treatment, greatly facilitate the physical and mental health management of the lying-in woman, and improve the confidence and self-esteem of the postpartum recovery of the lying-in woman.
Drawings
Fig. 1 is a schematic structural principle diagram of the maternal psychological stress and pelvic floor muscle force double dynamic assessment and grading intervention device of the invention.
FIG. 2 is a schematic diagram of the intelligent grading intervention process of the present invention
In the figure: 100. the system comprises a detection and music feedback terminal, a bioelectric stimulation feedback terminal and a main control unit, wherein the detection and music feedback terminal comprises 200 parts of a bioelectric stimulation feedback terminal and 300 parts of the main control unit;
101. the earphone type pulse wave detection unit 102, the music feedback unit 103, the first wireless module;
201. a pelvic floor muscle detection unit, 202, a low-frequency current stimulation unit, 203, a second wireless module;
301. the system comprises a data processing unit, 302, a psychological stress evaluation unit, 303, a pelvic floor muscle force evaluation unit, 304, an intelligent grading feedback unit, 305, a display unit, 306 and an alarm unit.
The specific implementation mode is as follows:
the device for mental pressure, pelvic floor muscle force dual-dynamic assessment and grading intervention special for the lying-in woman mainly comprises a detection and music feedback terminal 100, a biological electrical stimulation feedback terminal 200 and a main control unit 300 as shown in fig. 1, wherein the detection and music feedback terminal 100 and the biological electrical stimulation feedback terminal 200 are connected with the main control unit 300 in a wireless mode (such as BLE, WIFI and the like).
The detection and music feedback terminal 100 is composed of a pulse wave detection unit 101, a music feedback unit 102 and a first wireless module 103, wherein the pulse wave detection unit 101 and the music feedback unit 102 are both wirelessly connected with the first wireless module 103. The pulse wave detection unit 101 is of an ear plug type. The pulse wave detection unit 101 includes a pulse wave sensor and a signal processing circuit, both of which are prior art. The pulse wave sensor adopts an infrared reflection type volume pulse wave sensor and is used for collecting the pulse wave signals at the ear position between the external ear and the antitragus, the pulse wave signals are filtered and amplified by a signal processing circuit (the band-pass filtering frequency is 0.5-20Hz, and the amplification factor is about 5000 times) (the signal processing circuit is an existing filtering and amplifying circuit and is used for amplifying the primary filtering of the signals through hardware, the data processing unit 301 in the main control unit 300 further carries out filtering and noise reduction on the signals through software), and the pulse wave signals are transmitted to the data processing unit 301 in the main control unit 300 through the first wireless module 103. The music feedback unit 102 is composed of a speaker and a sound wave converter, the speaker is connected with the sound wave converter, the sound wave converter receives the music electrical signal sent by the main control unit 300 through the first wireless module 103, converts the music electrical signal into an audible sound wave signal, and the audible sound wave signal is played by the speaker.
The bioelectric stimulation feedback terminal 200 is used for evaluating and treating pelvic floor muscle strength of a parturient, and solving the problems of postpartum stress urinary incontinence, sexual dysfunction, postpartum lumbago and the like. The terminal 200 is composed of a pelvic floor muscle detection unit 201, a low-frequency current stimulation unit 202 and a second wireless module 203, wherein the pelvic floor muscle detection unit 201 and the low-frequency current stimulation unit 202 are connected with the second wireless module 203. The pelvic floor muscle detection unit 201 can adopt an existing pelvic floor muscle detector, and generally comprises a disposable vaginal electrode and an electromyography filtering and amplifying circuit (the band-pass filtering frequency is 20-500Hz, and the amplification factor is about 10000 times), wherein the vaginal electrode is connected with the electromyography filtering and amplifying circuit, and the second wireless module 203 is used for collecting data which is filtered and amplified by the electromyography filtering and amplifying circuit and transmitting the data. The low-frequency current stimulation unit 202 is a low-frequency (1-100Hz) current stimulation technology, and can adopt the existing low-frequency micro-current stimulator, wherein the low-frequency current stimulation circuit comprises a microcontroller, a DDS signal generator, a pulse circuit, a booster circuit, a current amplitude control circuit and the like, the stimulation frequency is adjustable (20-500Hz), the stimulation current is adjustable (0-100mA), and the pulse width is adjustable (500 plus 350 us). The low-frequency current stimulation unit 202 can perform electrical stimulation treatment on pelvic floor muscles and abdominal rectus abdominis through disposable electrodes (including two forms of abdominal electrodes and vaginal electrodes) via a low-frequency current stimulation circuit, so that the problems of postpartum stress urinary incontinence, sexual dysfunction, postpartum lumbago and the like are solved, and the psychological problem of a puerpera caused by physical health is reduced. The second wireless communication module 203 receives the grading intervention command from the main control unit 300 and transmits the grading intervention command to the low-frequency current stimulation unit 202 (low-frequency current stimulation circuit) to implement the intervention scheme. The invention combines pelvic floor muscle detection, treatment and wireless communication functions.
The main control unit 300 may be an intelligent terminal such as a mobile phone, a tablet or a computer, and has a wireless function. Comprises a data processing unit 301, a psychological stress assessment unit 302, a pelvic floor muscle strength assessment unit 303, an intelligent grading feedback unit 304, a display unit 305 and an alarm unit 306. The main control unit 300 receives the pulse wave signals (signals processed by the signal processing circuit) collected in the pulse wave detection unit 101 through the first wireless module 103, and sends the pulse wave signals to the data processing unit 301 for processing; the main control unit 300 controls the music feedback unit 102 to implement a music therapy intervention scheme through the first wireless module 103, and controls the bioelectric stimulation feedback terminal 200 to implement a bioelectric stimulation therapy scheme through the second wireless module 203.
The data processing unit 301 removes power frequency interference and baseline interference from the pulse wave signals through a 0.5-10Hz Butterworth band-pass filter, removes motion artifacts, extracts the peak point position of the pulse wave signals in the acquisition time period, and obtains a cardiac cycle sequence RpAnd sent to the psychological stress assessment unit 302.
Obtaining a cardiac cycle sequence RpThe specific process is as follows:
firstly, based on the analysis of the obtained ear pulse wave signal segments (every 4S, recorded as S1), filtering and denoising by a 0.5-10Hz Butterworth band-pass filter to obtain a denoised signal S2;
secondly, respectively carrying out power spectrum analysis on the S1 signal and the corresponding S2 signal, and calculating average powers P1 and P2 of the S1 signal and the S2 signal, wherein the signal quality QS is P2/P1, and the larger the QS value is, the higher the signal quality is;
finally, updating the display signal quality value every 4s, and taking QS>0.5 signal segment is used as effective data segment to extract RR interval Rp。
A psychological stress evaluation unit 302 for receiving the cardiac cycle sequence R obtained by the data processing unit 301pAnd (3) carrying out psychological stress assessment, namely, respectively calculating a depression grading index DEPI and a mental stress grading index PSI in two modes of self-rating scale assessment and heart rate variability assessment, wherein the specific process is as follows:
(1) before measurement, a puerpera self-rating scale is input, a mental health clinical symptom self-rating scale SCL-90 is selected, depression related questions (13 questions in total) are picked out for evaluation, and a 5-grade depression grading index DEPI is given:
| DEPI number | Depression progression | Degree of Depression |
| DEPI＝0 | 0 | Is not provided with |
| DEPI＝1 | 1 | Is very light |
| DEPI＝2 | 2 | Medium and high grade |
| DEPI＝3 | 3 | Weight bias |
| DEPI＝4 | 4 | Severe severity of disease |
(2) Calculating the sequence of cardiac cycles R obtained by the data processing unit 301 using the heart rate variability analysis technique (prior art)pThe time domain index and the frequency domain index are used for calculating the mental stress quantized value SI through an artificial neural network algorithm, and the specific process is as follows:
firstly, establishing a mental stress quantification value SI and a cardiac cycle sequence R through an artificial neural network based on clinical test data of a large samplepThe formula is established as follows:
① taking a sample (R) from the set of samplesp,Yp) R is to bepInput into BP neural network, where RpRepresenting a sequence of cardiac cycles of the sample, YpRepresenting the pressure result corresponding to the sample p, wherein p is 1, 2, and N is the number of samples;
② calculate the corresponding predicted output Op(quantified values of mental stress SI), at which stage the structured features are transmitted from the input layer, through the intermediate layers, to the output layer, in the process of which the BP neural network performs a forward propagation, as calculated:
Op＝g(f(W′1j*Xp+b1j)*W′2j+b2j)，
wherein W'1j,b1j，W′2j,b2jTraining coefficient vectors and bias vectors of the BP neural network for the jth iteration, wherein the coefficient vectors and the bias vectors are parameters of a model; f is the excitation function of the middle layer, g is the output layerA SoftMax function;
③ calculating the predicted output OpAnd the actual output YpError Err ofp：Errp＝Op-Yp；
④ adjusting W 'counter-propagating in the direction of minimization error'1j,b1j，W′2j,b2jSo that ErrpMinimum;
the process of model training is to repeatedly execute the above four steps, when the training error Err ispStopping training when the training frequency is not reduced or reaches the appointed training frequency, and reversely propagating the regulated W 'for the last time'1j＝T,b1j＝T，W′2j＝T,b2j＝TI.e. the parameters of the model, wherein T is the number of iterations for which the training error of the model reaches a minimum or is a specified number of training times.
The forward propagation process in the model training process is also the process of predicting the body composition result after the BP neural network training is finished, and the calculation formula is as follows: o isp＝g(f(W1′T*Rp+b1T)*W2′T+b2T) Where f is the interlayer excitation function, g is the output layer SoftMax function, RpIs a cardiac cycle sequence set, W1'T、W2′T、b1TAnd b2TThe weight coefficients are formed after network training.
Secondly, when a new pulse wave signal is acquired, a cardiac cycle sequence R is extractedpThen, input into the above formula Op＝g(f(W1′T*Rp+b1T)*W2′T+b2T) In the method, a quantified value SI of the mental stress can be automatically calculated in real time, the larger the value SI is, the larger the mental stress is, for example, the SI is 72, the SI range is 0-100, and the result of measurement is that the mental stress is overweight.
And finally, equally grading the SI, wherein the grade is 0-4 grade, and the grading mode is as follows:
| SI value | Number of mental stress steps | Degree of mental stress |
| SI≤20 | 0 | Is not provided with |
| 21≤SI≤40 | 1 | Is very light |
| 41≤SI≤60 | 2 | Medium and high grade |
| 61≤SI≤80 | 3 | Weight bias |
| 81≤SI≤100 | 4 | Severe severity of disease |
The pelvic floor muscle force evaluation unit 303 calculates a root mean square value Preb of a resting state baseline and an average Aver of 5 rapid contraction maximum values at 60s relaxation according to a GLAZER pelvic floor muscle surface myoelectricity evaluation method, calculates a ratio Q of Preb and Aver, and then calculates a pelvic floor muscle force classification index MSI, wherein the classification standard is as follows:
| q value | Pelvic floor muscle force grading index MSI | Degree of pelvic floor muscle contraction dysfunction |
| Q≥20.0 | 0 | Is not provided with |
| 18.0＜Q＜20.0 | 1 | Is very light |
| 17.0≤Q＜18.0 | 2 | Medium and high grade |
| Q＜17.0 | 3 | Weight bias |
。
As shown in fig. 2, the intelligent graded feedback unit 304 directly receives the graded index and measure of the psychological stress feedback given by the psychological stress assessment unit 302, transmits an instruction to the first wireless module 103 through the wireless module of the main control unit 300 to control the music feedback unit to play music, and the main control unit 300 controls the bioelectric stimulation feedback terminal to implement bioelectric stimulation feedback treatment through the second wireless module 203.
Firstly, calculating a psychological pressure feedback grading index FS according to the depression grading index DEPI and the mental pressure grading index PSI of the psychological pressure evaluation unit 302, wherein the calculation formula is that when DEPI is more than or equal to 3, FS is DEPI + 2; when DEPI <3, FS ═ DEPI + PSI. According to the FS value, the main control unit 300 sends music to the music feedback unit through the first wireless module 103, and controls the music feedback unit to perform music feedback treatment intervention, and the specific scheme is as follows: FS is 0, a feedback scheme is not carried out, and voice prompt continues to keep good living habits; FS is 1, treated with soothing music for 15 min; FS is 2, and the deep treatment is carried out for 30min by adopting soothing music; alternately treating for 40min by adopting soothing type music and shaking type music, and prompting to ensure adequate sleep, appropriate outdoor exercise and other relieving modes; the FS is 4, the soothing type music and the shaking type music are alternately used for treating for 60min, the meditation voice is used for treating for 15min, and the relief modes of ensuring sufficient sleep, performing proper outdoor exercises and the like are prompted; FS is more than or equal to 5, and prompt for medical treatment in time.
Then, according to the pelvic floor muscle strength grading index MSI, the main control unit 300 controls the bioelectric stimulation feedback terminal 200 to implement bioelectric stimulation feedback treatment through the second wireless module 203, specifically:
MSI is 0, no treatment; 1, 1 MSI (1), low-frequency 100Hz current stimulation treatment for 1 course, 7 days for 1 course, and 20min for each treatment; 2, MSI (2), deep treatment with low-frequency 50Hz current for 2 courses, 7 days for 1 course, and 30min for each treatment; and (3) performing feedback treatment, detecting low-frequency 50Hz current along with myoelectric signals, synchronously treating when muscles contract, wherein the treatment course is 3, 1 treatment course is 7 days, and the treatment time is 45min each time.
The display unit 305 displays the indexes of the depression grading index DEPI, the mental pressure grading index PSI, the mental pressure feedback grading index FS, the pelvic floor muscle strength grading index MSI and the like in real time, displays the evaluation process of the self-rating scale and displays all detection results in the whole measurement process (also comprises the personalized selection of a music treatment scheme and an electric stimulation treatment scheme).
The alarm unit 306, which can be a graphic display, a voice prompt and the like on a mobile phone, is used for sending the depression grading index DEPI, the mental pressure grading index PSI, the mental pressure feedback grading index FS, the pelvic floor muscle strength grading index MSI and the treatment effect of the puerpera to a doctor end or a family terminal (a computer or a mobile phone) through the internet to prompt in time.
Claims (10)
1. The utility model provides a lying-in woman psychological pressure and pelvic floor muscle power dual dynamic aassessment and hierarchical intervention device which characterized by: the system comprises a detection and music feedback terminal, a bioelectric stimulation feedback terminal and a main control unit; the detection and music feedback terminal and the biological electrical stimulation feedback terminal are connected with the main control unit;
the detection and music feedback terminal comprises a pulse wave detection unit and a music feedback unit; the pulse wave detection unit comprises a pulse wave sensor and a signal processing circuit, the pulse wave sensor is connected with the signal processing circuit, and the pulse wave sensor is used for collecting the pulse wave signals at the ear position between the external ear and the antitragus, filtering and amplifying the pulse wave signals by the signal processing circuit and transmitting the pulse wave signals to the main control unit; the music feedback unit consists of a loudspeaker and a sound wave converter, the loudspeaker is connected with the sound wave converter, and the sound wave converter receives music electric signals sent by the main control unit, converts the music electric signals into sound wave signals and plays the sound wave signals through the loudspeaker.
The bioelectric stimulation feedback terminal comprises a pelvic floor muscle detection unit and a low-frequency current stimulation unit, wherein the pelvic floor muscle detection unit and the low-frequency current stimulation unit are connected with the main control unit.
The main control unit is an intelligent terminal and comprises a data processing unit, a psychological pressure evaluation unit, a pelvic floor muscle strength evaluation unit and an intelligent grading feedback unit; the main control unit receives the pulse wave signals at the ears and sends the pulse wave signals to the data processing unit for processing; the main control unit controls the music feedback unit to implement music treatment intervention and controls the bioelectric stimulation feedback terminal to implement bioelectric stimulation treatment;
the data processing unit is used for carrying out signal filtering noise reduction on the received ear pulse wave signals, evaluating signal quality QS and extracting characteristics to obtain RR intervals;
the psychological pressure evaluation unit is used for receiving the cardiac cycle sequence R obtained by the data processing unitpPerforming self-rating scale evaluation and heart rate variability evaluation, and calculating a depression grading index DEPI and a mental stress grading index PSI;
and the pelvic floor muscle force evaluation unit constructs a 0-3 level pelvic floor muscle force classification index MSI according to a GLAZER pelvic floor muscle surface myoelectricity evaluation method.
The intelligent grading feedback unit calculates a psychological pressure feedback grading index FS according to the depression grading index DEPI and the mental pressure grading index PSI, and music feedback measures are given according to the FS; and (4) implementing the bioelectric stimulation feedback treatment according to the pelvic floor muscle force grading index MSI.
2. The maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the detection and music feedback terminal further comprises a first wireless module, and the pulse wave detection unit and the music feedback unit are connected with the main control unit through the first wireless module.
3. The maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the bioelectric stimulation feedback terminal further comprises a second wireless module, and the pelvic floor muscle detection unit and the low-frequency current stimulation unit are connected with the second wireless module and connected with the main control unit through the second wireless module.
4. The maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the specific processes of signal filtering noise reduction, signal quality evaluation and feature extraction by the data processing unit are as follows:
firstly, analyzing the obtained ear pulse wave signal segments, and recording the segments as S1 every 4S; filtering and denoising the signal by a 0.5-10Hz Butterworth band-pass filter to obtain a denoised signal S2;
secondly, respectively carrying out power spectrum analysis on the S1 signal and the corresponding S2 signal, and calculating average powers P1 and P2 of the S1 signal and the S2 signal, wherein the signal quality QS is P2/P1, and the larger the QS value is, the higher the signal quality is;
finally, updating the display signal quality value every 4s, and taking QS>0.5 signal segment is used as effective data segment to extract RR interval Rp。
5. The maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the concrete process of calculating the depression grading index DEPI and the mental pressure grading index PSI by the mental pressure evaluation unit is as follows:
inputting a self-rating scale of the lying-in woman to evaluate the depression degree; selecting a mental health clinical symptom self-rating scale SCL-90, picking depression-related questions from the mental health clinical symptom self-rating scale SCL-90, evaluating, and giving a 5-grade depression grading index DEPI:
none of: 0-grade DEPI is 0;
very light: 1-grade DEPI is 1;
medium: 2-grade DEPI is 2;
the weight is biased: 3-grade DEPI is 3;
severe: 4-grade DEPI ═ 4.
6. The maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the concrete process of calculating the mental stress grading index PSI by the mental stress assessment unit is as follows:
calculating the sequence of cardiac cycles R obtained by the data processing unit using a heart rate variability analysispCalculating a mental stress quantized value SI through a neural network algorithm according to the time domain index and the frequency domain index; the method comprises the following specific steps: the SI and the cardiac cycle sequence R are established through an artificial neural network in advancepModel formula O ofp＝g(f(W1′T*Rp+b1T)*W2′T+b2T) In which O ispQuantifying the value SI for the stress, f is the excitation function of the middle layer, g is the SoftMax function of the output layer, RpIs a cardiac cycle sequence set, W1'T、W2′T、b1TAnd b2TThe weight coefficients are formed after network training; when new pulse wave signals are acquired, a cardiac cycle sequence R is extractedpThen, inputting the data into the formula, calculating a quantified value SI of the mental pressure in real time, wherein the larger the numerical value of the SI is, the larger the mental pressure is, then equally segmenting the SI to obtain a mental pressure classification index PSI with the classification of 0-4 grades, which respectively comprises the following steps:
。
7. The maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the specific process of constructing the 0-3 level pelvic floor muscle strength grading index MSI by the pelvic floor muscle strength evaluation unit is as follows: calculating the mean square root value Preb of the resting state baseline at 60 seconds of relaxation and the average value Aver of the maximum value of 5 seconds of rapid contraction, solving the ratio Q of Preb to Aver, and then calculating the 0-3 grade pelvic floor muscle strength grading index MSI, wherein the grading standard is as follows:
8. the maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the intelligent hierarchical feedback unit feeds back treatment according to music given by the FS, and specifically comprises the following steps:
FS is 0, no feedback is carried out, and good living habits are continuously kept; FS 1, treatment with soothing music for 15 minutes; FS is 2, and the deep treatment is carried out for 30 minutes by adopting soothing music; alternately treating for 40 minutes by adopting soothing type music and shaking type music, and prompting to ensure sufficient sleep and appropriate outdoor movement; FS is 4, the soothing type music and the shaking type music are adopted for alternate treatment for 60 minutes, the meditation voice is adopted for treatment for 15 minutes, and sufficient sleep and proper outdoor movement are prompted to be guaranteed; FS is more than or equal to 5, and prompt for medical treatment in time.
9. The maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the bioelectric stimulation feedback treatment implemented by the intelligent grading feedback unit according to the pelvic floor muscle strength grading index MSI is specifically as follows:
MSI is 0, no treatment; 1, 1 MSI (1), wherein the low-frequency 100Hz current stimulation is used for 1 treatment course, 1 treatment course is 7 days, and the treatment time is 20 minutes each time; 2, 2 treatment courses of MSI, wherein the low-frequency 50Hz current is used for deep treatment, 1 treatment course is 7 days, and the treatment time is 30 minutes each time; and (3) performing feedback treatment, detecting low-frequency 50Hz current along with myoelectric signals, synchronously treating when muscles contract, wherein the treatment course is 3, 1 treatment course is 7 days, and the treatment time is 45 minutes each time.
10. The maternal mental pressure and pelvic floor muscle force dual dynamic assessment and grading intervention device according to claim 1, characterized by: the main control unit also comprises a display unit and an alarm unit; the display unit displays indexes such as a depression grading index DEPI, a mental pressure grading index PSI, a psychological pressure feedback grading index FS, a pelvic floor muscle strength grading index MSI and the like in real time, and displays the evaluation process of the self-rating scale and all detection results in the whole measurement process; the alarm unit is used for sending the depression grading index DEPI, the mental pressure grading index PSI, the mental pressure feedback grading index FS, the pelvic floor muscle strength grading index MSI and the treatment effect of the lying-in woman to a doctor end or a family terminal through the Internet for prompt reminding.
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