Electric pulse monitoring and early warning method and device for external diaphragm pacemaker

Abstract

The present invention discloses an electric pulse monitoring and early warning method and device for an external diaphragm pacemaker, and relates to the technical field related to electric pulse monitoring. The method comprises: obtaining multiple patch heads of an external diaphragm pacemaker, and corresponding multiple patch head positions; collecting multiple electric pulse monitoring signals; obtaining the left patch head, the right patch head and the bottom patch head; outputting a first type of electric pulse monitoring signal, a second type of electric pulse monitoring signal and a third type of electric pulse monitoring signal; inputting into a three-channel abnormal monitoring model for abnormal analysis, and generating a first early warning signal and / or a second early warning signal and / or a third early warning signal. The method solves the technical problem that it is difficult to monitor the electric pulse signals of different diaphragm regions in real time, accurately and comprehensively in the existing electric pulse monitoring for pacemakers, resulting in low accuracy and reliability of early warning, and thus affecting the effectiveness and safety of the external diaphragm pacemaker, and achieves the technical effect of improving the safety and effectiveness of the external diaphragm pacemaker.

Description

Technical Field

[0001] The present application relates to the technical field related to electric pulse monitoring, and specifically to an electric pulse monitoring and early warning method and device for an external diaphragm pacemaker. Background Art

[0002] With the rapid development of medical technology today, the external diaphragm pacemaker, as an innovative medical device, provides a new treatment approach for many patients with impaired respiratory function. The pacemaker device sends electrical pulses to the diaphragm in the human body through an external patch head, thereby stimulating the diaphragm to contract and helping the patient complete breathing movements. However, with its increasingly widespread application, how to ensure the safe and effective operation of the external diaphragm pacemaker has become an urgent problem to be solved. During use, the traditional external diaphragm pacemaker mainly relies on the doctor's experience to set and adjust the parameters of the electrical pulse, such as frequency and intensity, and it is difficult to ensure that the best effect can be achieved every time. More importantly, it is impossible to provide accurate warnings based on real-time pulse monitoring signal changes. If the electrical pulse parameters are not set properly, it is impossible to understand the patient's condition in a timely and accurate manner, affecting the safety and effectiveness of the external diaphragm pacemaker, and may also cause unnecessary harm to the patient.

[0003] Therefore, in the current technologies related to electrical pulse monitoring and early warning for external diaphragm pacemakers, there is a technical problem that it is difficult to monitor the electrical pulse signals of different diaphragm areas in real time, accurately and comprehensively, resulting in low accuracy and reliability of early warning, which in turn affects the effectiveness and safety of the external diaphragm pacemaker. Summary of the invention

[0004] The present application provides an electric pulse monitoring and early warning method and device for an external diaphragm pacemaker, thereby solving the technical problem that it is difficult to monitor the electric pulse signals of different diaphragm areas in real time, accurately and comprehensively for the existing electric pulse monitoring of pacemakers, resulting in low accuracy and reliability of early warning, which in turn affects the effectiveness and safety of the external diaphragm pacemaker, thereby achieving the technical effect of improving the safety and effectiveness of the external diaphragm pacemaker.

[0005] The present application provides an electric pulse monitoring and early warning method for an external diaphragm pacemaker, the method comprising: obtaining a plurality of patch heads of an external diaphragm pacemaker, and a plurality of patch head positions corresponding to the plurality of patch heads; collecting a plurality of electric pulse monitoring signals of the plurality of patch heads; analyzing the action areas of the plurality of patch head positions to divide the plurality of patch heads, and obtaining a left patch head, a right patch head and a lower patch head, wherein the left patch head is a patch head acting on the left diaphragm area, the right patch head is a patch head acting on the right diaphragm area, and the lower patch head is a patch head acting on the lower diaphragm area; outputting a first type of electric pulse monitoring signal, a second type of electric pulse monitoring signal and a third type of electric pulse monitoring signal according to the left patch head, the right patch head and the lower patch head; inputting the first type of electric pulse monitoring signal, the second type of electric pulse monitoring signal and the third type of electric pulse monitoring signal into a three-channel abnormal monitoring model for abnormal analysis, and generating a first early warning signal and / or a second early warning signal and / or a third early warning signal.

[0006] In a possible implementation, the external diaphragm pacemaker electrical pulse monitoring and early warning method also performs the following processing: monitoring the diaphragm health response data samples of each area in the left diaphragm area, the right diaphragm area and the lower diaphragm area, wherein the diaphragm health response data samples include the diaphragm contraction frequency, diaphragm contraction strength and diaphragm contraction time in a healthy state; setting abnormal feedback control parameters, wherein the abnormal feedback control parameters include pulse frequency parameters, pulse amplitude parameters and pulse width parameters; establishing a feedback mapping relationship between the diaphragm health response data samples and the abnormal feedback control parameters, wherein the diaphragm contraction frequency corresponds to the pulse frequency parameter, the diaphragm contraction strength corresponds to the pulse amplitude parameter, and the diaphragm contraction time corresponds to the pulse width parameter; generating an abnormal feedback control model based on the feedback mapping relationship, and calling the abnormal feedback control model to perform feedback control on the abnormal patch heads in each area.

[0007] In a possible implementation, a three-channel abnormality monitoring model is constructed, and the following processing is also performed: the diaphragm reaction sensitivity of each area under the left patch head, the right patch head and the lower patch head is obtained, and the left-diaphragm reaction sensitivity, the right-diaphragm reaction sensitivity and the lower-diaphragm reaction sensitivity are output; the left-abnormal signal feature, the right-abnormal signal feature and the lower-abnormal signal feature are configured with the left-diaphragm reaction sensitivity, the right-diaphragm reaction sensitivity and the lower-diaphragm reaction sensitivity; according to the left-abnormal signal feature, the right-abnormal signal feature and the lower-abnormal signal feature, a three-channel abnormality monitoring model is constructed.

[0008] In a possible implementation, the first type of electric pulse monitoring signal, the second type of electric pulse monitoring signal and the third type of electric pulse monitoring signal are input into a three-channel abnormality monitoring model for abnormality analysis, and the following processing is also performed: the first type of electric pulse monitoring signal is identified as abnormal according to the left-abnormal signal feature, the second type of electric pulse monitoring signal is identified as abnormal according to the right-abnormal signal feature, and the third type of electric pulse monitoring signal is identified as abnormal according to the lower side-abnormal signal feature, and the left-side signal similarity, the right-side signal similarity and the lower side signal similarity are output; the left-side signal similarity, the right-side signal similarity and the lower side signal similarity are compared with a preset similarity threshold to generate a first warning signal and / or a second warning signal and / or a third warning signal.

[0009] In a possible implementation, a first warning signal and / or a second warning signal and / or a third warning signal are generated, and the following processing is also performed: a skin contact sensing module is obtained, wherein the skin contact sensing module corresponds to the multiple patch heads, and skin sweat monitoring data is obtained; a pulse current impact analysis is performed based on the skin sweat monitoring data to obtain an impact index, and when the impact index is greater than a preset impact index, a fourth warning signal is obtained; and feedback control is performed on abnormal patch heads in each area based on the fourth warning signal.

[0010] In a possible implementation, a pulse current impact analysis is performed based on the skin sweat monitoring data to obtain an impact index, and the following processing is also performed: a dynamic trend analysis is performed on the skin sweat monitoring data to determine the growth rate and distribution trend of sweat secretion; the growth rate and distribution trend of sweat secretion are associated with the contact impedance of the patch head to construct a sweat impedance impact model; when the sweat impedance impact model receives the fourth warning signal, feedback control is performed on the patch heads in each area based on the sweat impedance impact model.

[0011] In a possible implementation, the three-channel anomaly monitoring model is connected to the consistency monitoring model and also performs the following processing: the consistency monitoring model is used to receive patch heads in the same area, and perform consistency analysis on the pulse monitoring signal changes of each patch head in the same area, including frequency consistency and phase consistency; obtain consistency analysis results based on the frequency consistency and phase consistency; when the consistency analysis results output by the consistency monitoring model pass, activate the three-channel anomaly monitoring model.

[0012] The present application also provides an electric pulse monitoring and early warning device for an external diaphragm pacemaker, including: a patch head position acquisition module, used to acquire multiple patch heads of an external diaphragm pacemaker, and multiple patch head positions corresponding to the multiple patch heads; an electric pulse monitoring signal acquisition module, used to acquire multiple electric pulse monitoring signals of the multiple patch heads; an action area division module, used to analyze the action areas of the multiple patch head positions to divide the multiple patch heads, and obtain a left patch head, a right patch head and a lower patch head, wherein the left patch head is a patch head acting on the left diaphragm area, and the right patch head is A patch head acting on the right diaphragm area, wherein the lower patch head is a patch head acting on the lower diaphragm area; an electric pulse monitoring signal output module, used to output a first type of electric pulse monitoring signal, a second type of electric pulse monitoring signal and a third type of electric pulse monitoring signal according to the left patch head, the right patch head and the lower patch head; an early warning signal generation module, used to input the first type of electric pulse monitoring signal, the second type of electric pulse monitoring signal and the third type of electric pulse monitoring signal into a three-channel abnormal monitoring model for abnormal analysis, and generate a first early warning signal and / or a second early warning signal and / or a third early warning signal.

[0013] Through the electric pulse monitoring and early warning method and device for external diaphragm pacemakers proposed in this application, it is intended to obtain multiple patch heads of external diaphragm pacemakers and corresponding multiple patch head positions; collect multiple electric pulse monitoring signals; obtain the left patch head, the right patch head and the bottom patch head; output the first type of electric pulse monitoring signal, the second type of electric pulse monitoring signal and the third type of electric pulse monitoring signal; input the signal into the three-channel abnormal monitoring model for abnormal analysis, and generate the first early warning signal and / or the second early warning signal and / or the third early warning signal. It solves the technical problem that it is difficult to monitor the electric pulse signals of different diaphragm regions in real time, accurately and comprehensively in the existing electric pulse monitoring of pacemakers, resulting in low accuracy and reliability of early warning, which in turn affects the effectiveness and safety of external diaphragm pacemakers, and achieves the technical effect of improving the safety and effectiveness of external diaphragm pacemakers. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic flow chart of an external diaphragm pacemaker electrical pulse monitoring and early warning method provided in an embodiment of the present application.

[0016] Figure 2 A schematic diagram of the structure of an electric pulse monitoring and early warning device for an external diaphragm pacemaker provided in an embodiment of the present application.

[0017] Explanation of the reference numerals: patch head position acquisition module 10 , electric pulse monitoring signal acquisition module 20 , action area division module 30 , electric pulse monitoring signal output module 40 , early warning signal generation module 50 . DETAILED DESCRIPTION

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0019] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0021] The present application embodiment provides an electric pulse monitoring and early warning method for an external diaphragm pacemaker, such as Figure 1 As shown, the method includes:

[0022] Step S100, obtaining a plurality of patch heads of an external diaphragm pacemaker and a plurality of patch head positions corresponding to the plurality of patch heads.

[0023] Preferably, the multiple patch heads of the external diaphragm pacemaker refer to electrodes for attaching to the patient's body surface, which are connected to the pacemaker through wires and are used to transmit electrical pulse signals to stimulate the diaphragm. The multiple patch head positions corresponding to the multiple patch heads refer to the specific pasting positions of these electrode sheets on the patient's body surface. Specifically, the patch heads of the external diaphragm pacemaker generally include small electrodes and large electrodes, wherein the small electrode is usually attached to 1 / 3 of the outer edge of the lower end of the sternocleidomastoid muscle, and the large electrode is attached to the second intercostal space of the midclavicular line to ensure that the electrical pulse signal can effectively stimulate the phrenic nerve, thereby inducing contraction of the diaphragm. In the actual application of the pacemaker, the appropriate patch position and number are selected according to the patient's specific situation and needs. For example, for patients with poor diaphragm / phrenic nerve conditions, it may take longer to stimulate the diaphragm. At this time, the doctor may adjust the patch position or increase the number of patches.

[0024] Step S200, collecting multiple electrical pulse monitoring signals of the multiple patch heads.

[0025] Preferably, a pulse signal monitoring device is used to collect and record the electric pulse signals generated by each patch head in real time and continuously, that is, the electric signal sent by the pacemaker to the patient through the patch head to stimulate the contraction of the diaphragm, including the voltage, current, intensity, frequency, waveform, pulse width and other parameters of the electric pulse. Specifically, the pulse signal monitoring device (such as a data acquisition card, a monitor, etc.) is connected to the pacemaker host or the patch head, and the corresponding acquisition parameters, such as the sampling rate, the signal amplification factor, etc., are set. After the pacemaker starts working, the electric pulse signals generated by each patch head are collected and recorded in real time and continuously and stored in digital form, thereby obtaining multiple electric pulse monitoring signals corresponding to multiple patch heads. By collecting multiple electric pulse monitoring signals from multiple patch heads, abnormal situations can be discovered and handled in a timely manner.

[0026] Step S300, analyzing the action areas of the multiple patch head positions to divide the multiple patch heads, obtaining a left patch head, a right patch head and a lower patch head, wherein the left patch head is a patch head acting on the left diaphragm area, the right patch head is a patch head acting on the right diaphragm area, and the lower patch head is a patch head acting on the lower diaphragm area.

[0027] Preferably, the positions of multiple patch heads of the external diaphragm pacemaker are analyzed, and the diaphragm areas on which the patch heads act are divided to obtain the left patch head, the right patch head and the lower patch head. Specifically, the left patch head is usually located on the left side of 1 / 3 of the outer edge of the lower end of the sternocleidomastoid muscle, or on the left side of the second intercostal space of the midclavicular line, and mainly acts on the left diaphragm area. By sending electrical pulse signals to this area, the contraction of the left diaphragm can be stimulated, thereby assisting breathing; the right patch head corresponds to the left patch head and is located on the sternocleidomastoid muscle The right side of the 1 / 3 of the outer edge of the lower end, or the right side of the second intercostal space of the midclavicular line, mainly acts on the right diaphragm area. Similarly, by sending electrical pulse signals to this area, the contraction of the right diaphragm can be stimulated, and it works together with the left diaphragm to complete the breathing action; the lower patch head may be located somewhere below the sternum or above the abdomen, and mainly acts on the lower or central area of ​​the diaphragm. By sending electrical pulse signals to this area, it can stimulate the contraction of the lower diaphragm, and work together with the left and right diaphragms to complete the breathing action. However, the external diaphragm pacemaker mainly stimulates the diaphragm through the patch head at the lower end of the sternocleidomastoid muscle (i.e., the left and right patch heads), because the phrenic nerve is relatively superficial and easy to stimulate at these locations. Since the lower area of ​​the diaphragm is relatively deep and protected by structures such as the ribs and spine, electrical pulse signals are sent through the patch head for assistance.

[0028] Step S400: outputting a first type of electrical pulse monitoring signal, a second type of electrical pulse monitoring signal and a third type of electrical pulse monitoring signal according to the left side patch head, the right side patch head and the bottom side patch head.

[0029] Preferably, the electric pulse monitoring signals output by the left patch head, the right patch head and the lower patch head are respectively referred to as the first type of electric pulse monitoring signal, the second type of electric pulse monitoring signal and the third type of electric pulse monitoring signal. Specifically, the first type of electric pulse monitoring signal originates from the left patch head, and reflects the characteristics and state of the electric pulse sent by the left patch head to the left diaphragm area, including the voltage, current, intensity, frequency, waveform, pulse width and other parameters of the electric pulse. By monitoring and analyzing the first type of electric pulse monitoring signal, the stimulation effect and reaction of the left diaphragm can be understood, thereby adjusting the pacing The second type of electric pulse monitoring signal comes from the right patch head, which reflects the characteristics and status of the electric pulses sent by the right patch head to the right diaphragm area. By monitoring the second type of electric pulse monitoring signal, the stimulation effect and response of the right diaphragm can be evaluated and compared with the stimulation effect of the left diaphragm to optimize the stimulation strategy of the pacemaker; the third type of electric pulse monitoring signal comes from the lower patch head, which reflects the characteristics and status of the electric pulses sent by the patch head to the lower diaphragm area. By monitoring the third type of electric pulse monitoring signal, the stimulation effect and response of the lower part of the diaphragm can be further understood.

[0030] Step S500, input the first type of electrical pulse monitoring signal, the second type of electrical pulse monitoring signal and the third type of electrical pulse monitoring signal into a three-channel abnormality monitoring model for abnormality analysis to generate a first warning signal and / or a second warning signal and / or a third warning signal.

[0031] Preferably, the first type of electrical pulse monitoring signal, the second type of electrical pulse monitoring signal and the third type of electrical pulse monitoring signal are input into a three-channel abnormal monitoring model for abnormal analysis. Specifically, the three-channel abnormal monitoring model simultaneously analyzes the electrical pulse monitoring signals from three different channels (i.e., the left side, the right side and the lower side), detects abnormal patterns, deviations or unexpected changes in the electrical pulse monitoring signals, thereby determining whether the working state of the external diaphragm pacemaker is abnormal and whether the patient's physiological response is abnormal, and then generating a first warning signal and / or a second warning signal and / or a third warning signal, wherein, when the first type of electrical pulse monitoring signal (left diaphragm area) appears If the second type of electrical pulse monitoring signal (right diaphragm area) is abnormal, the model generates a first warning signal, indicating that the stimulation effect of the left diaphragm area is not ideal, the electrode position is improper, the patch head falls off, or the patient's physiological response to the stimulation on that side is abnormal; similarly, when the second type of electrical pulse monitoring signal (right diaphragm area) is abnormal, the model generates a second warning signal, indicating that the stimulation effect of the right diaphragm area is poor, the electrode position is offset, the patch head is faulty, or the patient's physiological response to the stimulation on that side is abnormal; when the third type of electrical pulse monitoring signal is abnormal, the model generates a third warning signal, indicating that the stimulation effect of the lower diaphragm area is abnormal, the electrode position is inaccurate, the patch head is damaged, or the patient's physiological response to the stimulation in this area is abnormal. The warning signal can timely detect the abnormal operation of the external diaphragm pacemaker or the abnormal physiological response of the patient, and according to the type and severity of the warning signal, appropriately adjust the stimulation parameters of the pacemaker, replace the number and position of the patch heads, etc., to ensure the safe use of the external diaphragm pacemaker and the effective stimulation of the diaphragm in each area, thereby optimizing the patient's respiratory support and reducing potential risks.

[0032] Furthermore, the external diaphragm pacemaker electrical pulse monitoring and early warning method also includes: step S601, monitoring the diaphragm health response data samples of each area in the left diaphragm area, the right diaphragm area and the lower diaphragm area, wherein the diaphragm health response data samples include the diaphragm contraction frequency, diaphragm contraction strength and diaphragm contraction time in a healthy state; step S602, setting abnormal feedback control parameters, the abnormal feedback control parameters include pulse frequency parameters, pulse amplitude parameters and pulse width parameters; step S603, establishing a feedback mapping relationship between the diaphragm health response data samples and the abnormal feedback control parameters, wherein the diaphragm contraction frequency corresponds to the pulse frequency parameter, the diaphragm contraction strength corresponds to the pulse amplitude parameter, and the diaphragm contraction time corresponds to the pulse width parameter; step S604, generating an abnormal feedback control model based on the feedback mapping relationship, and calling the abnormal feedback control model to perform feedback control on the abnormal patch heads of each area.

[0033] Preferably, the diaphragm contraction frequency, contraction strength and contraction time in the healthy state of each area in the left diaphragm area, the right diaphragm area and the lower diaphragm area are monitored to form a diaphragm health response data sample, wherein the diaphragm contraction frequency refers to the number of diaphragm contractions per unit time. In a healthy state, the diaphragm contraction frequency is stable and closely related to the individual's respiratory frequency. By monitoring the diaphragm contraction frequency, the activity of the diaphragm and the functional state of the respiratory system can be evaluated. If the diaphragm contraction frequency is abnormal, it means that the respiratory system has respiratory muscle fatigue, neuromuscular disease, etc.; the diaphragm contraction strength refers to the contraction of the diaphragm during The amount of force generated during contraction reflects the contraction ability and muscle strength of the diaphragm. In a healthy state, the contraction strength of the diaphragm is sufficient to support normal respiratory function. If the contraction strength of the diaphragm is weakened, it may indicate that the diaphragm function is impaired, such as diaphragm atrophy, nerve conduction disorder, etc.; the diaphragm contraction time refers to the time from the beginning to the end of the contraction of the diaphragm, reflecting the contraction speed and duration of the diaphragm. In a healthy state, the contraction time of the diaphragm is appropriate and can ensure effective respiratory movement. If the diaphragm contraction time is abnormal, it means that there are muscle contraction incoordination, nerve regulation disorders, etc. in the contraction mechanism of the diaphragm.

[0034] Preferably, the response of the diaphragm is optimized by adjusting the parameters of the pulse signal (such as frequency, amplitude and pulse width), and abnormal feedback parameters are set, including pulse frequency parameters, pulse amplitude parameters and pulse width parameters. The pulse frequency parameter refers to adjusting the frequency of electric pulse stimulation of the diaphragm to affect the contraction frequency of the diaphragm; the pulse amplitude parameter is used to control the voltage or current of the electric pulse, thereby adjusting the intensity of the diaphragm contraction; the pulse width parameter refers to the duration of the electric pulse, which can affect the contraction time of the diaphragm; then a feedback mapping relationship between the diaphragm health response data sample and the abnormal feedback control parameters is established. Specifically, the diaphragm contraction frequency corresponds to the pulse frequency parameter, that is, when the diaphragm contraction frequency is monitored to be abnormal, it is corrected by adjusting the pulse frequency parameter; the diaphragm contraction intensity corresponds to the pulse amplitude parameter, when the diaphragm contraction intensity does not meet expectations, it is corrected by adjusting the pulse amplitude parameter; the diaphragm contraction time corresponds to the pulse width parameter, and the diaphragm contraction time can be optimized by adjusting the pulse width parameter.

[0035] Preferably, when abnormal diaphragm health response data of a certain area is monitored, the corresponding abnormal feedback control parameters can be quickly found for adjustment, and a model is constructed based on machine learning, and the diaphragm health response data samples and abnormal feedback control parameters are used for training to obtain an abnormal feedback control model, which can receive real-time diaphragm health response data as input and output corresponding abnormal feedback control parameter adjustment suggestions. Finally, the real-time monitored diaphragm health response data is input into the abnormal feedback control model, and the pulse frequency parameters, pulse amplitude parameters and pulse width parameters that need to be adjusted are output. The parameters of the abnormal patch heads in each area are adjusted, including modifying the frequency, amplitude and width of the electrical pulse signal output by the patch head to optimize the contraction effect of the diaphragm. The adjusted patch head continues to monitor the diaphragm health response data, and inputs the new data into the model, and outputs adjustment suggestions again to form a closed-loop feedback control. The stimulation parameters of the patch head are gradually optimized through continuous iteration to achieve precise control of the equipment.

[0036] Step S500 further includes step S501, obtaining the diaphragm reaction sensitivity of each area under the left patch head, the right patch head and the lower patch head, and outputting the left-diaphragm reaction sensitivity, the right-diaphragm reaction sensitivity and the lower-diaphragm reaction sensitivity; step S502, configuring the left-abnormal signal feature, the right-abnormal signal feature and the lower-abnormal signal feature with the left-diaphragm reaction sensitivity, the right-diaphragm reaction sensitivity and the lower-diaphragm reaction sensitivity; step S503, constructing a three-channel abnormal monitoring model according to the left-abnormal signal feature, the right-abnormal signal feature and the lower-abnormal signal feature.

[0037] Preferably, a series of electrical pulse stimulations with different parameters (such as frequency, amplitude, width) are sent to the diaphragm through the patch head, and the response of the diaphragm (such as contraction frequency, strength, time, etc.) is monitored. According to the response of the diaphragm, the sensitivity of each area to the electrical pulse stimulation is calculated, that is, the left-side diaphragm reaction sensitivity, the right-side diaphragm reaction sensitivity and the lower-side diaphragm reaction sensitivity are output, and then based on the obtained left-side diaphragm reaction sensitivity, the right-side diaphragm reaction sensitivity and the lower-side diaphragm reaction sensitivity, a normal range is set for the diaphragm reaction of each area, and the abnormal signal characteristics when exceeding this range are defined. Specifically, when the monitored diaphragm When the reaction data exceeds this range, it is considered that an abnormal signal has occurred. At the same time, according to the characteristics and patterns of the abnormal signal, the corresponding abnormal signal features are configured to obtain the left-side abnormal signal features, the right-side abnormal signal features and the bottom-abnormal signal features. Finally, a monitoring model is constructed based on machine learning (such as decision trees, neural networks, etc.), and the configured left-side abnormal signal features, right-side abnormal signal features and bottom-abnormal signal features are used as input training to obtain a three-channel abnormal monitoring model that can identify and classify abnormal signals. The monitoring data of the three channels (left side, right side and bottom side) are processed at the same time, and the judgment results of the abnormal situation are output in real time.

[0038] Step S500 further includes step S510, identifying the abnormality of the first type of electric pulse monitoring signal according to the left-side abnormal signal feature, identifying the abnormality of the second type of electric pulse monitoring signal according to the right-side abnormal signal feature, identifying the abnormality of the third type of electric pulse monitoring signal according to the lower side abnormal signal feature, and outputting the left-side signal similarity, the right-side signal similarity and the lower side signal similarity; step S520, comparing the left-side signal similarity, the right-side signal similarity and the lower side signal similarity with a preset similarity threshold, and generating a first warning signal and / or a second warning signal and / or a third warning signal.

[0039] Preferably, the first type of electric pulse monitoring signal, the second type of electric pulse monitoring signal and the third type of electric pulse monitoring signal are respectively identified for abnormalities according to the left-side abnormal signal feature, the right-side abnormal signal feature and the lower side abnormal signal feature, to determine whether there is an electric pulse signal matching the abnormal signal feature, and the similarities between the first type of electric pulse monitoring signal and the left-side abnormal signal feature, the second type of electric pulse monitoring signal and the right-side abnormal signal feature, and the third type of electric pulse monitoring signal and the lower side abnormal signal feature are respectively calculated to obtain the left-side signal similarity, the right-side signal similarity and the lower side signal similarity; the left-side signal similarity, the right-side signal similarity and the lower side signal similarity are respectively calculated. The side-signal similarity is compared with the preset similarity value, wherein the preset similarity value is a similarity standard value pre-set according to the healthy diaphragm state. If the left-side-signal similarity exceeds the similarity threshold, a first warning signal is generated, indicating that there may be an abnormality in the left diaphragm area; if the right-side-signal similarity exceeds the similarity threshold, a second warning signal is generated, indicating that there may be an abnormality in the right diaphragm area; if the lower-side-signal similarity exceeds the similarity threshold, a third warning signal is generated, indicating that there may be an abnormality in the lower diaphragm area; in some cases, multiple warning signals may be generated at the same time, indicating that there are abnormalities in multiple diaphragm areas at the same time.

[0040] Step S500 further includes step S530, obtaining a skin contact sensing module, wherein the skin contact sensing module corresponds to the multiple patch heads, and obtaining skin sweat monitoring data; step S540, performing pulse current impact analysis based on the skin sweat monitoring data to obtain an impact index, and when the impact index is greater than a preset impact index, obtaining a fourth warning signal; step S550, performing feedback control on abnormal patch heads in each area based on the fourth warning signal.

[0041] Preferably, the skin contact sensing module corresponds to a plurality of patch heads, and is used to monitor the contact between the patch heads and the skin, ensure good contact between the patch heads and the skin, and effectively stimulate the diaphragm in each area, thereby ensuring effective transmission of the electric pulse signal. The sweat secretion on the skin surface is obtained through the sweat monitoring sensor of the skin contact sensing module, and the conductivity and humidity of the skin surface are evaluated, and then the transmission effect of the pulse current on the skin is analyzed, that is, the pulse current impact analysis is performed. Specifically, the degree of obstruction of the pulse current transmission by sweat secretion, as well as the possible problems such as uneven current distribution or energy loss are evaluated. The impact index (such as current density, energy transfer efficiency, skin impedance, etc.) is analyzed and calculated to quantify the transmission effect of the pulse current on the skin, and then the calculated impact index is compared with the preset impact index threshold. If the impact index is greater than the preset threshold, it means that the transmission effect of the pulse current is significantly affected, and a fourth warning signal is generated for abnormal patch head feedback control, including fine-tuning the patch head with problems, such as adjusting the position, pressure or shape of the patch head to ensure good contact with the skin.

[0042] Step S540 further includes step S541, performing dynamic trend analysis on the skin sweat monitoring data to determine the growth rate and distribution trend of sweat secretion; step S542, associating the growth rate and distribution trend of sweat secretion with the contact impedance of the patch head to construct a sweat impedance influence model; step S543, when the sweat impedance influence model receives the fourth warning signal, feedback control is performed on the patch heads of each area according to the sweat impedance influence model.

[0043] Preferably, dynamic trend analysis of skin sweat monitoring data refers to time series analysis of continuously collected sweat data to determine the growth rate of sweat secretion, which helps to understand the sweat secretion of the skin in a specific time period and whether there are abnormal changes; and analyzing the distribution trend of sweat on the skin surface by drawing a sweat distribution map helps to identify which areas have more significant sweat secretion and whether these areas are related to the position of the patch head; the growth rate and distribution trend data of sweat secretion are associated with the contact impedance data of the patch head, that is, the correlation between them is analyzed, wherein the contact impedance data can be obtained by measuring parameters such as resistance or capacitance between the patch head and the skin through a special impedance measurement device, and according to the results of the association analysis, a machine learning model is selected to construct a sweat impedance influence model to describe the relationship between sweat secretion and the contact impedance of the patch head; when the sweat impedance influence model receives the fourth warning signal, feedback control is performed on the patch heads in each area, such as adjusting the position, pressure or shape of the patch head to improve the contact effect, adjusting the stimulation parameters of the pulse current, and thereby improving the safety of electric pulse therapy.

[0044] Step S500 further includes step S560, wherein the consistency monitoring model is used to receive patch heads in the same area and perform consistency analysis on the pulse monitoring signal changes of each patch head in the same area, including frequency consistency and phase consistency; step S570, obtaining the consistency analysis result based on the frequency consistency and phase consistency; step S580, when the consistency analysis result output by the consistency monitoring model passes, activating the three-channel abnormality monitoring model.

[0045] Preferably, the three-channel abnormality monitoring model is connected to the consistency monitoring model. The consistency monitoring model is used to receive patch heads in the same area and perform consistency analysis on the changes in pulse monitoring signals of each patch head in the same area, and evaluate whether the signals monitored by each patch head are consistent in frequency and phase. Specifically, the consistency monitoring model receives pulse monitoring signals from each patch head in real time, analyzes whether the signals monitored by each patch head are consistent in frequency, and evaluates whether the signals monitored by each patch head are synchronized in phase, which helps to identify the transmission effect of pulse current between different patch heads, and whether there are problems such as signal delay or phase shift. According to the analysis results of frequency consistency and phase consistency, a consistency analysis result is generated, that is, if there is a significant inconsistency, a failure is displayed. If the signals of all patch heads are highly consistent in frequency and phase, the consistency analysis result may show a pass. At this time, it is considered that the basic conditions of the electric pulse have been met, and the three-channel abnormality monitoring model is activated to further monitor and evaluate abnormal conditions, that is, identify possible abnormalities based on the electric pulse signal, such as sudden changes in signal strength, abnormal fluctuations in frequency or phase, and poor contact between the patch head and the skin. By using the consistency monitoring model and the three-channel anomaly monitoring model together, it is possible to monitor and evaluate the patch head performance and signal consistency, thereby ensuring safety.

[0046] In the above, refer to Figure 1 The electrical pulse monitoring and early warning method for an external diaphragm pacemaker according to an embodiment of the present invention is described in detail. Figure 2 The electrical pulse monitoring and early warning device for an external diaphragm pacemaker according to an embodiment of the present invention is described.

[0047] The electrical pulse monitoring and early warning device for an external diaphragm pacemaker according to an embodiment of the present invention is used to solve the technical problem that it is difficult to monitor the electrical pulse signals of different diaphragm regions in real time, accurately and comprehensively in the existing electrical pulse monitoring of pacemakers, resulting in low accuracy and reliability of early warning, which in turn affects the effectiveness and safety of the external diaphragm pacemaker, thereby achieving the technical effect of improving the safety and effectiveness of the external diaphragm pacemaker. The electrical pulse monitoring and early warning device for an external diaphragm pacemaker includes: a patch head position acquisition module 10, an electrical pulse monitoring signal acquisition module 20, an action area division module 30, an electrical pulse monitoring signal output module 40, and an early warning signal generation module 50.

[0048] A patch head position acquisition module 10 is used to acquire multiple patch heads of an external diaphragm pacemaker and multiple patch head positions corresponding to the multiple patch heads; an electric pulse monitoring signal acquisition module 20 is used to acquire multiple electric pulse monitoring signals of the multiple patch heads; an action area division module 30 is used to analyze the action areas of the multiple patch head positions to divide the multiple patch heads, and acquire a left patch head, a right patch head and a lower patch head, wherein the left patch head is a patch head acting on the left diaphragm area, and the right patch head is a patch head acting on the right diaphragm area The lower patch head is a patch head that acts on the lower diaphragm area; the electric pulse monitoring signal output module 40 is used to output the first type of electric pulse monitoring signal, the second type of electric pulse monitoring signal and the third type of electric pulse monitoring signal according to the left patch head, the right patch head and the lower patch head; the early warning signal generation module 50 is used to input the first type of electric pulse monitoring signal, the second type of electric pulse monitoring signal and the third type of electric pulse monitoring signal into the three-channel abnormal monitoring model for abnormal analysis, and generate the first early warning signal and / or the second early warning signal and / or the third early warning signal.

[0049] The specific configuration of the electrical pulse monitoring and early warning device for the external diaphragm pacemaker will be described in detail below, and further includes: monitoring the diaphragm health response data samples of each area of ​​the left diaphragm area, the right diaphragm area and the lower diaphragm area, wherein the diaphragm health response data samples include the diaphragm contraction frequency, diaphragm contraction strength and diaphragm contraction time in a healthy state; setting abnormal feedback control parameters, wherein the abnormal feedback control parameters include pulse frequency parameters, pulse amplitude parameters and pulse width parameters; establishing a feedback mapping relationship between the diaphragm health response data samples and the abnormal feedback control parameters, wherein the diaphragm contraction frequency corresponds to the pulse frequency parameter, the diaphragm contraction strength corresponds to the pulse amplitude parameter, and the diaphragm contraction time corresponds to the pulse width parameter; generating an abnormal feedback control model based on the feedback mapping relationship, and calling the abnormal feedback control model to perform feedback control on the abnormal patch heads of each area.

[0050] The specific configuration of the early warning signal generation module 50 will be described in detail below. The early warning signal generation module 50 further includes: obtaining the diaphragm reaction sensitivity of each area under the left patch head, the right patch head and the lower patch head, and outputting the left-diaphragm reaction sensitivity, the right-diaphragm reaction sensitivity and the lower-diaphragm reaction sensitivity; configuring the left-abnormal signal feature, the right-abnormal signal feature and the lower-abnormal signal feature with the left-diaphragm reaction sensitivity, the right-diaphragm reaction sensitivity and the lower-diaphragm reaction sensitivity; constructing a three-channel abnormal monitoring model according to the left-abnormal signal feature, the right-abnormal signal feature and the lower-abnormal signal feature.

[0051] The specific configuration of the warning signal generation module 50 will be described in detail below. The warning signal generation module 50 further includes: identifying the abnormality of the first type of electric pulse monitoring signal according to the left-side abnormal signal feature, identifying the abnormality of the second type of electric pulse monitoring signal according to the right-side abnormal signal feature, identifying the abnormality of the third type of electric pulse monitoring signal according to the bottom-side abnormal signal feature, outputting the left-side signal similarity, the right-side signal similarity and the bottom-side signal similarity; comparing the left-side signal similarity, the right-side signal similarity and the bottom-side signal similarity with the preset similarity threshold, and generating the first warning signal and / or the second warning signal and / or the third warning signal.

[0052] The specific configuration of the warning signal generation module 50 will be described in detail below. The warning signal generation module 50 further includes: obtaining a skin contact sensing module, wherein the skin contact sensing module corresponds to the plurality of patch heads, and obtaining skin sweat monitoring data; performing pulse current impact analysis according to the skin sweat monitoring data, obtaining an impact index, and obtaining a fourth warning signal when the impact index is greater than a preset impact index; and performing feedback control on abnormal patch heads in each area according to the fourth warning signal.

[0053] The specific configuration of the warning signal generation module 50 will be described in detail below. The warning signal generation module 50 further includes: performing dynamic trend analysis on the skin sweat monitoring data to determine the growth rate and distribution trend of sweat secretion; associating the growth rate and distribution trend of sweat secretion with the contact impedance of the patch head to construct a sweat impedance influence model; when the sweat impedance influence model receives the fourth warning signal, feedback control is performed on the patch heads of each area according to the sweat impedance influence model.

[0054] The specific configuration of the early warning signal generation module 50 will be described in detail below. The early warning signal generation module 50 further includes: the consistency monitoring model is used to receive patch heads in the same area, and perform consistency analysis on the pulse monitoring signal changes of each patch head in the same area, including frequency consistency and phase consistency; obtain consistency analysis results according to the frequency consistency and phase consistency; when the consistency analysis results output by the consistency monitoring model pass, activate the three-channel abnormality monitoring model.

[0055] The electric pulse monitoring and early warning device for an external diaphragm pacemaker provided in an embodiment of the present invention can execute the electric pulse monitoring and early warning method for an external diaphragm pacemaker provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0056] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0057] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. An electric pulse monitoring and early warning method for an external diaphragm pacemaker, characterized in that: The method comprises: Acquire multiple patch heads of an external diaphragm pacemaker and multiple patch head positions corresponding to the multiple patch heads; Collecting multiple electrical pulse monitoring signals of the multiple patch heads; Analyze the action areas of the multiple patch head positions to divide the multiple patch heads, and obtain a left patch head, a right patch head and a lower patch head, wherein the left patch head is a patch head acting on the left diaphragm area, the right patch head is a patch head acting on the right diaphragm area, and the lower patch head is a patch head acting on the lower diaphragm area; Outputting a first type of electrical pulse monitoring signal, a second type of electrical pulse monitoring signal and a third type of electrical pulse monitoring signal according to the left side patch head, the right side patch head and the bottom side patch head; Inputting the first type of electrical pulse monitoring signal, the second type of electrical pulse monitoring signal and the third type of electrical pulse monitoring signal into a three-channel abnormality monitoring model for abnormality analysis to generate a first warning signal and / or a second warning signal and / or a third warning signal; Construct a three-channel anomaly monitoring model, the method includes: Acquire the diaphragm reaction sensitivity of each area under the left patch head, the right patch head and the lower patch head, and output the left-side diaphragm reaction sensitivity, the right-side diaphragm reaction sensitivity and the lower-side diaphragm reaction sensitivity; According to the left-side diaphragm reaction sensitivity, the right-side diaphragm reaction sensitivity and the lower-side diaphragm reaction sensitivity, a left-side abnormal signal feature, a right-side abnormal signal feature and a lower-side abnormal signal feature are configured; According to the left-side abnormal signal feature, the right-side abnormal signal feature and the bottom-side abnormal signal feature, a three-channel abnormality monitoring model is constructed.

2. The electric pulse monitoring and early warning method for an external diaphragm pacemaker according to claim 1, characterized in that: The method comprises: Monitoring diaphragm health response data samples in each of the left diaphragm region, the right diaphragm region, and the lower diaphragm region, wherein the diaphragm health response data samples include diaphragm contraction frequency, diaphragm contraction strength, and diaphragm contraction time in a healthy state; Setting abnormal feedback control parameters, wherein the abnormal feedback control parameters include a pulse frequency parameter, a pulse amplitude parameter, and a pulse width parameter; Establishing a feedback mapping relationship between the diaphragm health response data sample and the abnormal feedback control parameter, wherein the diaphragm contraction frequency corresponds to the pulse frequency parameter, the diaphragm contraction intensity corresponds to the pulse amplitude parameter, and the diaphragm contraction time corresponds to the pulse width parameter; An abnormal feedback control model is generated according to the feedback mapping relationship, and the abnormal feedback control model is called to perform feedback control on the abnormal patch heads in each area.

3. The electric pulse monitoring and early warning method for an external diaphragm pacemaker according to claim 1, characterized in that: Inputting the first type of electrical pulse monitoring signal, the second type of electrical pulse monitoring signal and the third type of electrical pulse monitoring signal into a three-channel abnormality monitoring model for abnormality analysis, including: According to the left-side abnormal signal feature, the first type of electric pulse monitoring signal is identified as abnormal, according to the right-side abnormal signal feature, the second type of electric pulse monitoring signal is identified as abnormal, according to the bottom-abnormal signal feature, the third type of electric pulse monitoring signal is identified as abnormal, and the left-side signal similarity, the right-side signal similarity and the bottom-side signal similarity are output; The left-side signal similarity, the right-side signal similarity and the lower-side signal similarity are compared with a preset similarity threshold to generate a first warning signal and / or a second warning signal and / or a third warning signal.

4. The electric pulse monitoring and early warning method for an external diaphragm pacemaker according to claim 1, characterized in that: Generating a first warning signal and / or a second warning signal and / or a third warning signal, the method further comprises: Acquire a skin contact sensing module, wherein the skin contact sensing module corresponds to the plurality of patch heads, and acquire skin sweat monitoring data; Perform pulse current impact analysis according to the skin sweat monitoring data to obtain an impact index, and when the impact index is greater than a preset impact index, obtain a fourth warning signal; Feedback control is performed on the abnormal patch heads in each area according to the fourth warning signal.

5. The electric pulse monitoring and early warning method for an external diaphragm pacemaker as claimed in claim 4, characterized in that: Performing pulse current impact analysis based on the skin sweat monitoring data to obtain impact indicators, the method includes: Performing dynamic trend analysis on the skin sweat monitoring data to determine the growth rate and distribution trend of sweat secretion; Correlating the growth rate and distribution trend of the sweat secretion with the contact impedance of the patch head to construct a sweat impedance influence model; When the sweat impedance influence model receives the fourth warning signal, feedback control is performed on the patch heads of each area according to the sweat impedance influence model.

6. The electric pulse monitoring and early warning method for an external diaphragm pacemaker according to claim 1, characterized in that: The three-channel anomaly monitoring model is connected to the consistency monitoring model, and the method includes: The consistency monitoring model is used to receive patch headers in the same area and perform consistency analysis on changes in pulse monitoring signals of each patch header in the same area, including frequency consistency and phase consistency; Obtaining consistency analysis results according to the frequency consistency and phase consistency; When the consistency analysis result output by the consistency monitoring model passes, the three-channel anomaly monitoring model is activated.

7. An electric pulse monitoring and early warning device for an external diaphragm pacemaker, characterized in that: The device is used to implement the electric pulse monitoring and early warning method for an external diaphragm pacemaker according to any one of claims 1 to 6, and the device comprises: A patch head position acquisition module, used to acquire multiple patch heads of an external diaphragm pacemaker and multiple patch head positions corresponding to the multiple patch heads; An electric pulse monitoring signal acquisition module, used for acquiring a plurality of electric pulse monitoring signals of the plurality of patch heads; An action area division module is used to analyze the action areas of the multiple patch head positions to divide the multiple patch heads, and obtain a left patch head, a right patch head and a lower patch head, wherein the left patch head is a patch head acting on the left diaphragm area, the right patch head is a patch head acting on the right diaphragm area, and the lower patch head is a patch head acting on the lower diaphragm area; An electric pulse monitoring signal output module, used for outputting a first type of electric pulse monitoring signal, a second type of electric pulse monitoring signal and a third type of electric pulse monitoring signal according to the left patch head, the right patch head and the lower patch head; The early warning signal generation module is used to input the first type of electrical pulse monitoring signal, the second type of electrical pulse monitoring signal and the third type of electrical pulse monitoring signal into the three-channel abnormality monitoring model for abnormality analysis, and generate the first early warning signal and / or the second early warning signal and / or the third early warning signal.

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