WO2019036840A1 - Infrared physiotherapy effect monitoring method and device, medical device, and storage medium - Google Patents

Abstract

An infrared physiotherapy effect monitoring method and device, a medical device, and a storage medium. The method comprises: collecting g a bio-impedance signal of a physiotherapy area of the body of an infrared physiotherapy user, and collecting an electrocardiosignal of the user at the same time; analyzing the bio-impedance signal and the electrocardiosignal to determine whether the bio-impedance signal and the electrocardiosignal are correct; when the bio-impedance signal and the electrocardiosignal are both correct, computing a frequency of the electrocardiosignal, a frequency of the bio-impedance signal and a primary characteristic frequency; determining whether the bio-impedance signal is caused by the cardiac blood pacing according to the computing result; when the bio-impedance signal is caused by the cardiac blood pacing, computing an IDE characteristic of each single cycle of the bio-impedance signal; and setting the characteristic of each single cycle as a target factor of the infrared physiotherapy effect monitoring, and outputting the target factor. In this way, real-time in-vivo monitoring of the infrared physiotherapy effect is implemented by combining the non-invasive monitoring of the bio-impedance signal, thereby effectively improving the comfortableness, reliability and monitoring efficiency of the infrared physiotherapy effect monitoring.

Description

 Infrared physiotherapy effect monitoring method, device, medical equipment and storage medium

Technical field

 [0001] The present invention belongs to the field of computer technology, and in particular, to a method, a device, a medical device and a storage medium for monitoring an infrared physiotherapy effect.

 Background technique

 [0002] Infrared physiotherapy is a new medical method combining infrared technology with medical technology, and has been widely used in the adjuvant treatment of various diseases. At present, infrared physiotherapy technology can be used for the treatment and diagnosis of the lymphatic system, the monitoring of scar rehabilitation, the recording of the rehabilitation of the lower back injury in the human working environment, and the monitoring of the heat distribution of human tissue under infrared irradiation. Many clinical pathology reports have evaluated and confirmed the effect of infrared physiotherapy on the adjuvant treatment of disease.

 [0003] At present, the evaluation of the effects of infrared physiotherapy usually borrows the experience of medical personnel, and the blood flow signal is the key to the evaluation of infrared therapeutic effects. Methods for detecting infrared physiotherapy include invasive methods and non-invasive methods. Invasive methods increase the suffering of the subject. If the subject has diabetes, the invasive method is not conducive to the recovery of the wound. In addition, invasive methods The method of extracting blood target factors requires blood to be subjected to complicated blood collection preparation, labeling blood collection, centrifugation stratification, sample grouping, cryopreservation, dry puncture, and repeated detection. Non-invasive methods include optical measurement methods and non-optical measurement methods. Among them, optical measurement methods such as optical coherence tomography have high precision, but the presence of additional light sources affects the infrared light temperature field distribution, and the cost is too high. Optical sputum measurement methods such as ultrasonic color flow imaging can accurately identify changes in bleed flow velocity, but the positional movement of the ultrasonic couplant and probe affects the temperature field distribution of the infrared light, and ultrasonic detection is not conducive to long-term in vivo monitoring of the human body. .

 technical problem

 [0004] An object of the present invention is to provide a method, a device, a medical device and a storage medium for monitoring the effects of infrared physiotherapy, which aim to solve the problem that the infrared physiotherapy effect cannot be provided due to the prior art, which makes it impossible to Rational effect

Problem solution Technical solution

 [0005] The problem of real monitoring between long turns and low detection efficiency and accuracy is not achieved.

 In one aspect, the present invention provides a method for monitoring an infrared physiotherapy effect, the method comprising the following steps

[0007] collecting the bio-impedance signal of the physical therapy area of the infrared physiotherapy user, and collecting the ECG signal of the infrared physiotherapy user;

 [0008] analyzing the collected bio-impedance signal and the electrocardiogram signal to determine whether the collected bio-impedance signal and the electrocardiogram signal are correct;

[0009] when the collected bio-impedance signal and the electrocardiographic signal are both correct, calculating a frequency of the electrocardiographic signal and a frequency of the bio-impedance signal, a first-order characteristic frequency;

[0010] determining, according to a frequency of the electrocardiographic signal and a frequency of the bioimpedance signal, a first-order characteristic frequency, whether the bio-impedance signal is caused by cardiac blood flow;

 [0011] when the bioimpedance signal is caused by cardiac pulsation, calculating a characteristic of each single cycle of the bioimpedance signal according to the amplitudes of the bioimpedance signal trough, the main wave crest, and the secondary wave crest;

 [0012] setting a characteristic of each single cycle of the bio-impedance signal as a target factor of the infrared physiotherapy user's infrared physiotherapy effect monitoring and outputting.

 [0013] In another aspect, the present invention provides a monitoring device for infrared physiotherapy effects, the device comprising: [0014] a signal acquisition unit for collecting bio-impedance signals of a physical therapy area of an infrared physiotherapy user, The ECG signal of the infrared physiotherapy user;

[0015] a signal analysis unit, configured to analyze the collected bio-impedance signal and the electrocardiogram signal to determine whether the collected bio-impedance signal and the electrocardiogram signal are correct;

[0016] a frequency calculation unit, configured to: when the collected bio-impedance signal and the electrocardiographic signal are both correct, calculate a frequency of the electrocardiographic signal and a frequency of the bio-impedance signal, a first-order characteristic frequency;

[0017] a determining unit, configured to determine, according to a frequency of the electrocardiographic signal and a frequency of the bioimpedance signal, a first-order characteristic frequency, whether the bio-impedance signal is caused by cardiac blood flow;

[0018] a feature calculation unit, configured to: when the bio-impedance signal is caused by cardiac pulsation, calculate the bio-impedance signal according to the amplitude of the bio-impedance signal trough, the main wave crest, and the secondary wave crest Characteristics of the cycle; [0019] a target factor output unit, configured to set a characteristic of each single cycle of the bio-impedance signal to a target factor of the infrared physiotherapy effect monitoring of the infrared physiotherapy user and output.

[0020] In another aspect, the present invention also provides a medical device including a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor executing the computer The program 吋 implements the steps described in the above-described monitoring method of infrared physiotherapy effects.

[0021] In another aspect, the present invention also provides a computer readable storage medium, the computer readable storage medium storing a computer program, the computer program being executed by a processor to implement an infrared physiotherapy effect as described above The steps described in the monitoring method.

 Advantageous effects of the invention

 Beneficial effect

 [0022] The invention collects the bioimpedance information of the physical physiotherapy area of the infrared physiotherapy user, collects the ECG signal of the user, and analyzes the collected bio-impedance signal and the electrocardiogram signal to determine the bio-impedance signal and the electrocardiogram signal. Is it correct, when all are correct, calculate the frequency of the ECG signal and the frequency of the bio-impedance signal, the first-order characteristic frequency, and determine the bio-impedance based on the calculated frequency of the ECG signal and the frequency of the bio-impedance signal, the first-order characteristic frequency. Whether the signal is caused by the heart beat, when it is 吋, calculate the characteristics of each single cycle of the bio-impedance signal, set each single-cycle feature as the target factor of the infrared physiotherapy user's infrared physiotherapy effect monitoring, and output Non-invasive monitoring of bio-impedance signals enables real-time monitoring of infrared physiotherapy effects without affecting the infrared illumination distribution area, effectively improving the comfort, reliability and monitoring of infrared physiotherapy monitoring. effectiveness.

 Brief description of the drawing

 DRAWINGS

 1 is a flowchart showing an implementation of a method for monitoring an infrared physiotherapy effect according to Embodiment 1 of the present invention;

 2 is a diagram showing an example of device connection for collecting a bio-impedance signal and an electrocardiogram signal of an infrared physiotherapy user in a method for monitoring an infrared physiotherapy effect according to a first embodiment of the present invention;

3 is a diagram showing an example of a full-domain feature extraction result of a bio-impedance signal in a method for monitoring an infrared physiotherapy effect according to Embodiment 1 of the present invention;

4 is a diagram showing an example of a single-cycle feature extraction result of a bio-impedance signal in a method for monitoring an infrared physiotherapy effect according to Embodiment 1 of the present invention; 5 is a diagram showing an example of a frequency domain analysis distribution obtained by performing frequency domain analysis on bioimpedance information in a method for monitoring an infrared physiotherapy effect according to Embodiment 1 of the present invention;

6 is a schematic structural diagram of an infrared physiotherapy effect monitoring apparatus according to Embodiment 2 of the present invention;

7 is a schematic diagram of a preferred structure of an infrared physiotherapy monitoring device according to a second embodiment of the present invention; and

 8 is a schematic structural diagram of a medical device according to Embodiment 3 of the present invention.

Embodiments of the invention

 The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

 [0032] The specific implementation of the present invention is described in detail below with reference to specific embodiments:

[0033] Embodiment 1:

 1 shows an implementation flow of a method for monitoring an infrared physiotherapy effect according to the first embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown, which are described in detail as follows:

 [0035] In step S101, the bio-impedance signal of the physical therapy area of the infrared physiotherapy user is collected, and the ECG signal of the infrared physiotherapy user is collected.

 [0036] In the embodiment of the present invention, the electrocardiographic signal of the infrared physiotherapy user is collected by the two-electrode method, and the bio-impedance signal of the physical physiotherapy area of the infrared physiotherapy user is collected by the four-electrode method, as shown in FIG. 2, the infrared physiotherapy in FIG. 2 The physiotherapy area on the user's body is the arm. The acquired bio-resistance signal and ECG signal can be obtained wirelessly or by wire.

 [0037] In step S102, the collected bio-impedance signal and the electrocardiogram signal are analyzed to determine whether the acquired bio-impedance signal and the electrocardiogram signal are correct.

[0038] In the embodiment of the present invention, the collected bio-impedance signal and the electrocardiogram signal may be in error, so the bio-impedance signal and the electrocardiogram signal need to be analyzed. Preferably, after analyzing the bioimpedance signal and the electrocardiographic signal, each single-cycle feature array is obtained by performing full-field feature extraction and single-cycle feature extraction on the bio-impedance signal, and each feature array includes a main peak. , secondary peaks and troughs, determine the bio-impedance signal is correct, the ECG signal is processed by the band-pass filtering method, and the processed heart telegram is extracted. The peak value of the number exceeds the peak of the preset threshold. When there is a peak exceeding the preset threshold, the ECG signal is determined to be correct, thereby realizing the automation of the correctness judgment of the bioimpedance signal and the ECG signal.

 [0039] As an example, FIG. 3 is an extraction result of full-field feature extraction of a bio-impedance signal, and FIG. 4 is an extraction result of single-cycle feature extraction of a bio-impedance signal after full-field feature extraction, FIG. 4 The eight and B points in the middle are troughs, and the hl and h2 in the figure are the relative heights between the main peak and the trough, the secondary peak and the trough, respectively.

 [0040] Optionally, after analyzing the bioimpedance signal and the electrocardiogram signal, the bioimpedance signal and the electrocardiogram signal may also be output and analyzed manually, that is, the bioimpedance is determined by a professional such as a doctor or a nurse. Whether the signal and ECG signal are in error. When the error occurs, continue to collect the bio-impedance signal and the ECG signal, otherwise step S103 is performed.

 [0041] In step S103, the frequency of the electrocardiographic signal and the frequency of the bioimpedance signal, the first-order characteristic frequency are calculated.

 [0042] In the embodiment of the present invention, the collected ECG signal is a signal with a strong periodicity, and the frequency of the ECG signal can be converted. The length of the two adjacent valleys in the single period of the bioimpedance signal can be obtained (the length of the 八 between the two points B and B shown in Fig. 4), and the frequency of the bioimpedance signal is calculated according to the length of the 。. After calculating the frequency of the bio-impedance signal, the bio-impedance signal is intercepted according to a preset data period to ensure an appropriate spectral resolution, and the data period can be determined according to the spectrum resolution requirement, for example, when the data period is 20s吋The spectral resolution is 0.05 Hz. When the data period is 50 s, the spectral resolution is 0.02 Hz. In the interception, the bio-impedance signal of the whole cycle can be intercepted, for example, from the current single-cycle trough, to the single-cycle trough after 20s, where 20s is the current data period.

 [0043] In the embodiment of the present invention, frequency domain analysis is performed on the intercepted bio-impedance signal, that is, Fourier transform is performed on the intercepted bio-impedance signal to obtain a frequency domain distribution map of the bio-impedance signal, and a frequency domain distribution map is obtained. The fundamental frequency value in the middle is the first-order characteristic frequency of the bio-impedance signal, and the value of the first-order characteristic frequency of the normal person in the resting state is between 0.6 and 1.5 Hz. Since the bioimpedance signal has good harmonicity, the fundamental frequency value, that is, the value of the first-order characteristic frequency, can be calculated by the harmonic and harmonic order obtained after frequency domain analysis.

[0044] As an example, FIG. 5 is a frequency domain distribution diagram obtained by performing frequency domain analysis on the intercepted bioimpedance information, wherein the respiratory frequency of the human body interferes with the bioimpedance information, resulting in bioimpedance information generation. The baseline drift phenomenon, the bioimpedance information of the respiratory interference can effectively reflect the blood flow signal of the human body.

 [0045] In the embodiment of the present invention, the bio-impedance signal exhibits a wave change due to respiratory interference. After the frequency domain analysis, the baseline shift of the bio-impedance signal can be removed by wavelet transform, so that the bio-impedance signal remains in the same Horizontal line. At the same level as the baseline drift is removed, the signal at the level of the first-order frequency signature in the bioimpedance signal is also extracted.

 [0046] In step S104, it is determined whether the bioimpedance signal is caused by cardiac blood flow according to the frequency of the electrocardiographic signal and the frequency of the bioimpedance signal and the first-order characteristic frequency.

 [0047] In the embodiment of the present invention, the authenticity of the blood flow signal reflected by the bio-impedance signal is detected, that is, whether the bio-impedance signal is caused by the heart beat, and the contrast threshold is set in advance, and the ECG signal is The frequency, the frequency of the bioimpedance signal, and the first-order characteristic frequency of the bioimpedance signal are compared respectively, and the comparison result is obtained, and the comparison result is detected whether the comparison result exceeds the comparison threshold. When there is a comparison result exceeding the comparison threshold, the bioimpedance signal is determined by the heart. If the blood is caused by the blood, the process proceeds to step S105, otherwise the bio-impedance signal and the electrocardiogram signal are continuously collected.

 [0048] In step S105, a characteristic of each single cycle of the bio-impedance signal is calculated based on the amplitudes of the bioimpedance signal trough, the main wave crest, and the secondary wave crest.

 [0049] In the embodiment of the present invention, according to the amplitudes of the bioimpedance signal trough, the main wave peak, and the secondary wave crest, the relative height hl and the secondary wave peak between the main wave crest and the trough in each single cycle of the bioimpedance signal are calculated. With respect to the relative height h2 between the troughs, the characteristic corresponding to each single cycle is X = hl / h2.

 [0050] Preferably, after calculating the characteristics of each single cycle of the bio-impedance signal, it is judged whether the calculated feature is stable, so as to set the stable feature as a target factor of the infrared physiotherapy effect monitoring, thereby ensuring the monitoring of the infrared physiotherapy effect. Stability and accuracy. Specifically, the probability distribution in the naive Bayesian model can be set to a binary distribution of 0 and 1, and the probability of each feature under the condition of predetermined stability judgment is calculated. When the calculated probability is 0, the determination is made. The feature does not have stability. When the calculated probability is 1吋, it is determined that the feature has stability.

[0051] As an example, the stability determination condition may include, but is not limited to: a signal period percentage of the ECG frequency conversion 吋 length e [0.8, 1.2], a heartbeat frequency corresponding to the feature point, and an average ECG frequency e [0.8 , 1.2], the position of the secondary wave 占 occupies the signal period ratio e [0.2, 0.6], the mean value of the inter-turn position between the main wave peaks e [0.8, 1.2], and the main wave The peak amplitude accounts for the mean e[0.8, 1.2]. The signal period is the length between adjacent valleys in a single cycle of the bioimpedance signal. The ECG frequency conversion length is the length of the ECG signal frequency converted from the unit Heart Rate to Hz.

 [0052] In step S106, the characteristics of each single cycle of the bio-impedance signal are set as target factors of infrared physiotherapy user infrared therapeutic effect monitoring and output.

 [0053] In the embodiment of the present invention, the characteristics of each period of the bio-impedance signal are set as the target factors of the infrared physiotherapy effect monitoring of the infrared physiotherapy user, and all target factors are output, so that the infrared can be understood by observing the change of the target factor. Physiotherapy users have the effect of infrared therapy.

 [0054] In the embodiment of the present invention, the bio-impedance signal of the physical physiotherapy area of the infrared physiotherapy user and the ECG signal of the user are collected, and when the collected bio-impedance signal and the electrocardiogram signal are correctly 吋, whether the bio-impedance signal is detected is Caused by heart beat, when it is caused by heart beat, calculate the characteristics of each single cycle of the bio-impedance signal, and perform stability detection on each single-cycle feature, and set the stable feature as infrared therapy effect. The target factor is monitored, and the non-invasive monitoring of the bio-impedance signal can be used to realize the real-time monitoring of the infrared physiotherapy effect without affecting the infrared illumination distribution area, effectively improving the infrared physiotherapy effect monitoring. Comfort, reliability and monitoring efficiency.

 [0055] Embodiment 2:

 6 shows the structure of the monitoring device for the infrared physiotherapy effect provided by the third embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:

[0057] The signal acquisition unit 61 is configured to collect a bio-impedance signal of the physical therapy area of the infrared physiotherapy user, and collect the ECG signal of the infrared physiotherapy user.

[0058] In the embodiment of the present invention, the electrocardiogram signal of the infrared physiotherapy user is collected by the two-electrode method, and the bio-impedance signal of the physical physiotherapy area of the infrared physiotherapy user is collected by the four-electrode method, and the collected organism can be obtained by wireless or wired means. Impedance signal and ECG signal.

[0059] The signal analyzing unit 62 is configured to analyze the collected bio-impedance signal and the electrocardiogram signal to determine whether the collected bio-impedance signal and the electrocardiogram signal are correct.

[0060] In the embodiment of the present invention, the collected bio-impedance signal and the electrocardiogram signal may be in error, so the bio-impedance signal and the electrocardiogram signal need to be analyzed. Preferably, after analyzing the bioimpedance signal and the electrocardiographic signal, each single-cycle feature array is obtained by performing full-field feature extraction and single-cycle feature extraction on the bio-impedance signal, and each feature array includes a main peak. , secondary peaks and troughs, The impedance signal of the object is correct. The ECG signal is processed by the bandpass filtering method, and the peak value of the extracted ECG signal exceeds the preset threshold. When there is a peak exceeding the preset threshold, the ECG signal is determined to be correct. Automate the correctness of bioimpedance signals and ECG signals.

 [0061] Optionally, after analyzing the bioimpedance signal and the electrocardiogram signal, the bioimpedance signal and the electrocardiogram signal may also be outputted to the display screen for human analysis, that is, the diagnosis is determined by a professional such as a doctor or a nurse. Whether the bioimpedance signal and the ECG signal are in error. When an error occurs, continue to collect bioimpedance signals and ECG signals.

 [0062] The frequency calculation unit 63 is configured to calculate the frequency of the electrocardiogram signal and the frequency of the bio-impedance signal and the first-order characteristic frequency when the acquired bio-impedance signal and the electrocardiogram signal are both correct.

 In the embodiment of the present invention, the length of the two adjacent valleys in the single period of the bio-impedance signal can be obtained, and the frequency of the bio-impedance signal is calculated according to the length of the bio-impedance signal. Then, the bioimpedance signal is intercepted according to a preset data period to ensure proper spectral resolution, and the data period can be determined according to the spectral resolution requirement. In the interception, the bio-impedance signal of the whole cycle can be intercepted, for example, from the current single-cycle trough, to the single-cycle trough after 20s, where 20s is the current data period.

 [0064] In the embodiment of the present invention, the frequency domain analysis of the bio-impedance signal after the interception is performed, and the frequency domain distribution map of the bio-impedance signal is obtained, and the fundamental frequency value in the frequency domain distribution map is the level of the bio-impedance signal. Characteristic frequency. Since the bioimpedance signal has good harmonicity, the fundamental frequency value can be calculated by the harmonic harmonic wave number obtained after frequency domain analysis.

 In the embodiment of the present invention, the bio-impedance signal exhibits a wave change due to respiratory interference. After the frequency domain analysis, the baseline shift of the bio-impedance signal can be removed by wavelet transform, so that the bio-impedance signal remains in the same Horizontal line. At the same level as the baseline drift is removed, the signal at the level of the first-order frequency signature in the bioimpedance signal is also extracted.

 The causal determining unit 64 is configured to determine whether the bioimpedance signal is caused by cardiac blood flow according to the frequency of the electrocardiographic signal and the frequency of the bioimpedance signal and the first-order characteristic frequency.

[0067] In the embodiment of the present invention, the authenticity of the blood flow signal reflected by the bio-impedance signal is detected, that is, whether the bio-impedance signal is caused by the heart beat, and the contrast threshold is set in advance, and the ECG signal is The frequency, the frequency of the bio-impedance signal, and the first-order characteristic frequency of the bio-impedance signal are compared respectively to obtain a comparison result, and whether the comparison result exceeds the comparison threshold, when there is a comparison threshold Contrast results 吋, determine that the bioimpedance signal is caused by heart beat, otherwise continue to collect bio-impedance signals and ECG signals.

 [0068] The feature calculation unit 65 is configured to calculate a characteristic of each single cycle of the bioimpedance signal according to the amplitude of the bioimpedance signal trough, the main wave crest, and the secondary wave crest when the bioimpedance signal is caused by the heart beat.

[0069] In the embodiment of the present invention, according to the amplitudes of the bioimpedance signal trough, the main wave peak, and the secondary wave peak, the relative height hl and the secondary wave peak between the main wave peak and the trough in each single cycle of the bioimpedance signal are calculated. With respect to the relative height h2 between the valleys, the characteristic corresponding to each single cycle is X = hl / h2.

[0070] The target factor output unit 67 is configured to set a characteristic of each single cycle of the bio-impedance signal to a target factor of the infrared physiotherapy effect monitoring of the infrared physiotherapy user and output the target factor.

[0071] In the embodiment of the present invention, the characteristic of each period of the bio-impedance signal is set as the target factor of the infrared physiotherapy effect monitoring of the infrared physiotherapy user, and all target factors are output, so that the infrared can be understood by observing the change of the target factor. Physiotherapy users have the effect of infrared therapy.

Preferably, as shown in FIG. 7, the frequency calculation unit 63 includes an impedance frequency calculation unit 731, a characteristic frequency extraction unit 732, and a baseline drift removal unit 733, where:

[0073] The impedance frequency calculation unit 731 is configured to acquire a length between two adjacent troughs in a single period of the bio-impedance signal, and calculate a frequency of the bio-impedance signal according to the length of the bio-impedance signal;

[0074] The feature frequency extracting unit 732 is configured to intercept the bio-impedance signal according to a preset data period, and perform frequency domain analysis on the intercepted bio-impedance signal to extract a first-order characteristic frequency of the bio-impedance information.

; as well as

 [0075] The baseline drift removal unit 733 is configured to remove a baseline drift of the bio-impedance signal according to the result of the frequency domain analysis to extract a signal of a level of the first-level characteristic frequency in the bio-impedance signal.

[0076] Preferably, the monitoring device for the infrared physiotherapy effect further comprises:

 [0077] The stability determining unit 77 is configured to perform stability determination on each single-cycle feature of the bio-impedance information according to a preset naive Bayesian model and a stability judgment condition, according to whether the feature of each single-cycle is Stability is determined to determine whether the characteristics of each cycle are set to target factors.

[0078] In the embodiment of the present invention, after calculating the characteristics of each single cycle of the bio-impedance signal, it is determined whether the calculated feature is stable, so as to set the stable feature as a target factor for monitoring the infrared physiotherapy effect, thereby ensuring infrared Stability and accuracy of physiotherapy monitoring. Specifically, the naive Bayesian model can be used. The probability distribution is set to a binary distribution of 0 and 1, and the probability of each feature under the condition of preset stability judgment is calculated. When the calculated probability is 0吋, it is determined that the feature does not have stability, when the calculated probability For 1吋, determine the stability of the feature.

 [0079] In the embodiment of the present invention, the bio-impedance signal of the physical physiotherapy area of the infrared physiotherapy user and the ECG signal of the user are collected, and when the collected bio-impedance signal and the electrocardiogram signal are correctly 吋, whether the bio-impedance signal is detected is Caused by heart beat, when it is caused by heart beat, calculate the characteristics of each single cycle of the bio-impedance signal, and perform stability detection on each single-cycle feature, and set the stable feature as infrared therapy effect. The target factor is monitored, and the non-invasive monitoring of the bio-impedance signal can be used to realize the real-time monitoring of the infrared physiotherapy effect without affecting the infrared illumination distribution area, effectively improving the infrared physiotherapy effect monitoring. Comfort, reliability and monitoring efficiency.

 [0080] In the embodiment of the present invention, each unit of the infrared physiotherapy effect monitoring device may be implemented by a corresponding hardware or software unit, and each unit may be an independent soft and hardware unit, or may be integrated into a soft and hardware unit. This is not intended to limit the invention.

 Embodiment 3:

 8 shows the structure of a medical device according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.

 The medical device 8 of the embodiment of the present invention includes a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and operable on the processor 80. The processor 80 executes the computer program 82 to implement the steps in the above method embodiments, such as steps S101 to S106 shown in FIG. Alternatively, the processor 80 executes the computer program 82 to implement the functions of the units in the various apparatus embodiments described above, such as the functions of the units 61 to 66 shown in FIG.

[0084] In the embodiment of the present invention, the bio-impedance signal of the physical physiotherapy area of the infrared physiotherapy user and the ECG signal of the user are collected, and when the collected bio-impedance signal and the electrocardiogram signal are correctly 吋, whether the bio-impedance signal is detected is Caused by heart beat, when it is caused by heart beat, calculate the characteristics of each single cycle of the bio-impedance signal, and perform stability detection on each single-cycle feature, and set the stable feature as infrared therapy effect. The target factor is monitored, and the non-invasive monitoring of the bio-impedance signal can be used to realize the real-time monitoring of the infrared physiotherapy effect without affecting the infrared illumination distribution area, effectively improving the infrared physiotherapy effect monitoring. Comfort, reliability and monitoring efficiency. Embodiment 5:

 [0086] In an embodiment of the present invention, a computer readable storage medium is provided, where the computer readable storage medium stores a computer program executed by a processor to implement steps in the foregoing method embodiments, for example, Steps S101 to S106 shown in Fig. 1. Alternatively, the computer program is executed by the processor to implement the functions of the units in the various apparatus embodiments described above, such as the functions of units 61 to 66 shown in Fig. 6.

 [0087] In the embodiment of the present invention, the bio-impedance signal of the physical physiotherapy area of the infrared physiotherapy user and the ECG signal of the user are collected, and when the collected bio-impedance signal and the electrocardiogram signal are correctly 吋, whether the bio-impedance signal is detected is Caused by heart beat, when it is caused by heart beat, calculate the characteristics of each single cycle of the bio-impedance signal, and perform stability detection on each single-cycle feature, and set the stable feature as infrared therapy effect. The target factor is monitored, and the non-invasive monitoring of the bio-impedance signal can be used to realize the real-time monitoring of the infrared physiotherapy effect without affecting the infrared illumination distribution area, effectively improving the infrared physiotherapy effect monitoring. Comfort, reliability and detection efficiency.

 [0088] The computer readable storage medium of the embodiments of the present invention may include any entity or device capable of carrying computer program code, a recording medium such as a ROM/RAM, a magnetic disk, an optical disk, a flash memory or the like.

 The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the present invention. Within the scope of protection of the invention.

Claims

Claim

 [Claim 1] A method for monitoring an infrared physiotherapy effect, the method comprising the steps of: collecting a bio-impedance signal of a physical physiotherapy area of an infrared physiotherapy user, and collecting an electrocardiographic signal of the infrared physiotherapy user;

 And analyzing the collected bio-impedance signal and the electrocardiogram signal to determine whether the acquired bio-impedance signal and the electrocardiogram signal are correct;

 When the collected bio-impedance signal and the electrocardiographic signal are both correct, the frequency of the cardiac signal and the frequency of the bio-impedance signal and the first-order characteristic frequency are calculated;

 According to the frequency of the electrocardiogram signal and the frequency of the bioimpedance signal, the first-order characteristic frequency

Determining whether the bio-impedance signal is caused by cardiac blood flow; when the bio-impedance signal is caused by a heart-pulsing curve, calculating according to the amplitude of the bioimpedance signal trough, the main wave crest, and the secondary wave crest a characteristic of each bio-impedance signal per single cycle;

 Each single-cycle characteristic of the bio-impedance signal is set as a target factor of the infrared physiotherapy user's infrared physiotherapy effect monitoring and output.

 [Claim 2] The method according to claim 1, wherein the collected bio-impedance signal and the electrocardiographic signal are analyzed to determine whether the acquired bio-impedance signal and the electrocardiogram signal are correct Steps, including:

 Performing full-domain feature extraction and single-cycle feature extraction on the bio-impedance signal to generate an array of features of each single-period of the bio-impedance signal;

 Performing a band pass filtering process on the ECG signal, and extracting a peak whose peak value exceeds a preset threshold value in the processed ECG signal;

 Determining whether the bio-impedance signal is correct according to whether each of the single-cycle feature arrays includes a main peak, a secondary peak, and a trough, and whether a peak is exceeded in the processed electrocardiographic signal according to the preset The peak of the threshold, determining whether the ECG signal is correct

[Claim 3] The method according to claim 1, wherein the frequency of the electrocardiographic signal is calculated The step of the frequency of the bio-impedance signal and the first-order characteristic frequency includes: acquiring a length between two adjacent troughs in a single period of the bio-impedance signal, and calculating a frequency of the bio-impedance signal according to the length of the bio-impedance signal;

 Obscuring the bio-impedance signal according to a preset data period, performing frequency domain analysis on the intercepted bio-impedance signal to extract a first-order characteristic frequency of the bio-impedance information; and removing according to the frequency domain analysis result A baseline shift of the bioimpedance signal to extract a signal at a level of the first order characteristic frequency in the bioimpedance signal.

[Claim 4] The method according to claim 1, wherein determining whether the bioimpedance signal is caused by cardiac blood flow comprises:

 Comparing the frequency of the ECG signal, the frequency of the bio-impedance signal, and the first-order characteristic frequency of the bio-impedance signal, respectively, to obtain a comparison result; detecting whether the comparison result does not exceed a preset contrast threshold, It is determined whether the bioimpedance signal is caused by blood stasis of the heart.

[Claim 5] The method according to claim 1, wherein after the step of calculating a characteristic of each single period of the bioimpedance signal, setting a characteristic of each single period of the bioimpedance signal to the Before the step of infrared physiotherapy user infrared physiotherapy effect monitoring target factor and output, the method further includes:

 Performing stability judgment on each single-cycle characteristic of the bio-impedance information according to a preset naive Bayesian model and stability judgment condition, to determine whether or not to be based on whether each of the single-cycle characteristics has stability The characteristics of each cycle are set to the target factor.

[Claim 6] A monitoring device for infrared physiotherapy effects, characterized in that the device comprises:

 a signal acquisition unit, configured to collect a bio-impedance signal of the physical therapy area of the infrared physiotherapy user, and collect the ECG signal of the infrared physiotherapy user;

a signal analysis unit, configured to analyze the collected bio-impedance signal and the electrocardiogram signal to determine whether the collected bio-impedance signal and the electrocardiogram signal are correct; a frequency calculation unit, configured to: when The bioimpedance signal and the electrocardiographic signal are both correctly calculated, and the frequency of the electrocardiographic signal and the frequency of the bioimpedance signal and the first-order characteristic frequency are calculated; a determining unit, configured to determine, according to a frequency of the electrocardiographic signal and a frequency of the bio-impedance signal, a first-order characteristic frequency, whether the bio-impedance signal is a cardiac-induced blood-synchronization characteristic calculation unit, The bioimpedance signal is caused by blood stasis of the heart, and the characteristics of the single impedance of the bioimpedance signal are calculated according to the amplitudes of the bioimpedance signal trough, the main wave crest, and the secondary wave crest;

 And a target factor output unit configured to set a characteristic of each single cycle of the bio-impedance signal to a target factor of the infrared physiotherapy effect monitoring of the infrared physiotherapy user and output.

[Claim 7] The device according to claim 6, wherein the frequency calculation unit comprises: an impedance frequency calculation unit, configured to acquire a length between two adjacent troughs in a single cycle of the bio-impedance signal Calculating, according to the length of the bio-impedance signal, a frequency of the bio-impedance signal, and performing a frequency domain analysis on the intercepted bio-impedance signal according to a preset data period; Extracting a first-order characteristic frequency of the bioimpedance information;

 And a baseline drift removing unit, configured to remove a baseline drift of the bio-impedance signal according to a result of the frequency domain analysis to extract a signal at a level of the first-level characteristic frequency in the bio-impedance signal.

 [Claim 8] The device according to claim 6, wherein the device further comprises:

 a stability determining unit, configured to perform stability determination on each single-cycle feature of the bio-impedance information according to a preset naive Bayesian model and a stability judgment condition, according to whether the feature of each single-cycle is There is stability to determine whether to set the characteristics of each cycle as the target factor.

 [Claim 9] A medical device comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor executes the computer program The steps of the method of any of claims 1 to 5.

 [Claim 10] A computer readable storage medium storing a computer program, wherein the computer program is executed by a processor, implementing the method of any one of claims 1 to 5 The steps of the method.