A wearable electrocardio and respiration integrated monitoring system

Abstract

The application discloses a wearable ECG and respiration integrated monitoring system, comprising a wearable monitoring terminal module, a respiration impedance emission module, a signal processing module, a core control module, a wireless communication module, a power and safety interaction module and a cloud platform management module; the wearable monitoring terminal is used for collecting ECG, respiration, motion and positioning data; the respiration impedance emission module is used for emitting safe alternating current to obtain respiration impedance change signals; the signal processing module is used for filtering, amplifying, analog-digital converting and fusing processing of multi-source data; the core control module is used for abnormality judgment and data packaging; the wireless communication module is used for data uploading; the power and safety interaction module is used for power supply, electrode falling detection and emergency help; and the cloud platform management module is used for hierarchical alarm and closed-loop management; and the application realizes multi-source physiological data synchronous monitoring and cloud analysis, and improves health monitoring and emergency response efficiency.

Description

Technical Field

[0001] This invention relates to the field of wearable health monitoring technology, and in particular to a wearable integrated electrocardiogram and respiratory monitoring system. Background Technology

[0002] With the increasing popularity of long-distance endurance events such as marathons, the number of participants is constantly increasing, leading to a growing demand for health risk monitoring and medical support during exercise. Under high-intensity, long-duration exercise conditions, participants are prone to heart rate abnormalities, respiratory disturbances, and sudden cardiovascular events, placing higher demands on on-site medical monitoring and emergency response capabilities. Current technologies typically use traditional electrocardiogram (ECG) monitoring devices or wearable health monitoring devices to collect physiological data from athletes, and then combine this data with a backend system for display and basic analysis to achieve health monitoring and risk warning during exercise.

[0003] However, existing technologies still have certain limitations. On the one hand, traditional ECG monitoring devices are usually bulky and inconvenient to wear, making them unsuitable for prolonged, high-intensity exercise scenarios and unable to meet the continuous monitoring needs of marathon events. On the other hand, existing wearable monitoring devices mostly focus on single indicators such as heart rate or step count, lacking the ability to simultaneously collect key physiological parameters such as respiratory rate, and thus failing to comprehensively assess the cardiopulmonary load during exercise. Furthermore, in event-level applications, existing technologies lack a unified and collaborative management mechanism for equipment, personnel, and medical resources. The processes of equipment distribution and retrieval, location monitoring, tiered alarms, and emergency response are usually independent, failing to form a complete integrated management system. In addition, existing systems still have shortcomings in real-time data upload, automatic anomaly analysis capabilities, and closed-loop medical treatment, making it difficult to achieve real-time monitoring, rapid early warning, and unified dispatch of athletes' conditions during the event, thereby affecting overall medical support efficiency and safety response capabilities.

[0004] Therefore, how to provide a wearable integrated ECG and respiratory monitoring system is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] One objective of this invention is to propose a wearable integrated electrocardiogram and respiratory monitoring system. This invention collects multi-source physiological data such as electrocardiogram, respiration, movement, and location through a wearable monitoring terminal, performs fusion analysis and anomaly judgment, and uploads the data to a cloud platform via wireless communication to achieve hierarchical alarm and closed-loop management of medical treatment, thereby improving the integrity of monitoring and the efficiency of emergency response.

[0006] A wearable integrated electrocardiogram and respiratory monitoring system according to an embodiment of the present invention includes: The signal acquisition module is used to collect the user's electrocardiogram signal, respiratory signal, motion data and location information. These four types of data constitute multi-source physiological data. The respiratory impedance transmitting module is used to transmit a safe alternating current to the human body to obtain signals of changes in respiratory impedance. The signal processing module is used to filter and amplify, perform analog-to-digital conversion, and fuse multi-source data on the acquired electrocardiogram signals, respiratory signals, and motion data. The core control module is used for anomaly detection and data encapsulation based on fused feature vectors; The wireless communication module is used to upload data to the cloud platform, supporting regular uploads, abnormal uploads, and emergency uploads. The power and safety interaction module is used to provide power and realize electrode detachment detection, low battery reminder and SOS emergency trigger functions; The cloud platform management module is used to analyze and process the received data, enabling hierarchical alarms, map-based visual monitoring, and closed-loop management of medical treatment.

[0007] Optionally, the signal acquisition module specifically includes: The first electrode patch and the second electrode patch are used to be attached to preset positions on the user's chest to collect raw electrocardiogram signals; The raw ECG signal is processed by a primary filtering circuit and then the first ECG signal is output. The first electrocardiogram signal is processed sequentially by a pre-amplifier circuit and a post-amplifier and filter circuit. The pre-amplifier circuit is used to amplify the gain to improve the signal-to-noise ratio, and the post-amplifier and filter circuit is used to bandpass filter to remove high-frequency noise and low-frequency drift, outputting a standard electrocardiogram signal with stable amplitude. By utilizing the shared acquisition structure of the first electrode patch and the second electrode patch, respiratory modulation signals are acquired to obtain respiratory impedance change signals. The respiratory impedance change signal is demodulated by a synchronous demodulation circuit to obtain a respiratory demodulation signal; The respiratory demodulation signal is low-pass filtered to output a respiratory rate characteristic signal; Motion data is obtained by collecting motion acceleration sequences from accelerometers; Location information is obtained by the positioning acquisition unit to acquire the user's real-time location, and is output synchronously with the acquisition time of electrocardiogram signals, respiratory signals and motion data.

[0008] Optionally, the respiratory impedance transmission module specifically includes: An AC excitation signal generating unit is used to generate high-frequency AC excitation signals; Voltage / current conversion circuit is used to convert AC excitation signals into constant current output; A precision reference voltage source used to stabilize the output reference of voltage / current conversion circuits; The third and fourth electrode patches are used to apply a constant current to the surface of the human chest cavity. A preset distance is set between the third electrode patch and the receiving electrode along the surface of the chest cavity, so that the current passes through the chest tissue to form a respiratory impedance measurement path. The impedance changes regularly with the respiratory cycle to obtain a high signal-to-noise ratio respiratory characteristic signal.

[0009] Optionally, the signal processing module specifically includes: The ECG filtering unit is used to filter standard ECG signals to obtain purified ECG signals; The respiratory demodulation unit is used to perform envelope extraction processing on the respiratory demodulation signal to obtain respiratory feature signals; The data synchronization unit is used to perform time-aligned processing on electrocardiogram signals, respiratory signals, motion data, and positioning data to generate a synchronized data sequence. The data fusion unit is used to perform multi-source feature fusion processing on the synchronous data sequence, outputting a fused feature vector. The fused feature vector is used for anomaly detection and data encapsulation processing.

[0010] Optionally, the core control module specifically includes: An anomaly detection unit is used to determine anomalies based on fused feature vectors and generate anomaly status identifiers. When the electrocardiogram or respiratory characteristics exceed the preset threshold range, an abnormal status indicator is output. The data encapsulation unit is used to encapsulate electrocardiogram signals, respiratory signals, motion data, positioning data, and abnormal status indicators according to a preset data structure to generate data frames; The storage control unit is used to store data frames into the storage unit.

[0011] Optionally, the wireless communication module specifically includes: A wireless communication unit is used to establish a wireless data transmission link; A network access unit is used to enable communication network access. The standard upload unit is used to upload data frames to the cloud platform according to a preset time period; The abnormal upload unit is used to trigger data upload when an abnormal state is detected. The emergency upload unit is used to immediately upload the current data frame and location information upon receiving an SOS trigger signal.

[0012] Optionally, the power and safety interaction module specifically includes: The power management unit is used to provide stable power to each functional module; The electrode status detection unit is used to detect the contact status of the electrode patch and generate a detachment alarm signal when the contact status is abnormal. The power detection unit is used to detect the remaining battery power and output a prompt signal when the power is lower than a preset range; The SOS trigger unit is used to generate an emergency distress signal when user operation is detected.

[0013] Optionally, the cloud platform management module specifically includes: The data receiving unit is used to receive data frames uploaded by the wireless communication module; The data analysis unit is used to analyze and process electrocardiogram and respiratory signals to generate abnormality level information; The hierarchical alarm unit is used to trigger alarm information of the corresponding level according to the level of abnormality; The map visualization unit is used to map location information onto an electronic map and display it in real time. The medical treatment unit is used to record alarm information and treatment processes, forming a closed-loop record. The report generation unit is used to generate monitoring reports based on historical data.

[0014] The beneficial effects of this invention are: (1) This invention collects electrocardiogram signals, respiratory signals, exercise data and positioning data simultaneously through wearable monitoring terminals. Combined with respiratory impedance transmission and reception mechanisms, it realizes the fusion analysis and anomaly judgment of multi-source physiological data, so that the cardiopulmonary load and exercise status of users can be monitored comprehensively and accurately, thereby improving the integrity and reliability of health data.

[0015] (2) The present invention uploads the processed data to the cloud platform through the wireless communication module to realize hierarchical alarm, SOS one-click help and closed-loop management of medical treatment, so as to unify and coordinate equipment management, personnel scheduling, inventory management and medical response at the event site, and improve the efficiency of real-time safety monitoring and emergency response.

[0016] (3) Through lightweight wearable design and long-term wearability of the terminal, the present invention makes the ECG and respiratory monitoring system suitable for long-term endurance event scenarios. At the same time, it supports the automatic generation of health and event support reports, realizes closed-loop management of the entire process of monitoring, alarm, handling and data archiving, and improves the practicality and traceability of event support and personal health management. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the system structure of a wearable integrated electrocardiogram and respiratory monitoring system proposed in this invention; Figure 2This is a functional flowchart of a wearable integrated electrocardiogram and respiratory monitoring system proposed in this invention; Figure 3 This is a schematic diagram of the data acquisition and processing flow of a wearable integrated electrocardiogram and respiratory monitoring system proposed in this invention. Detailed Implementation

[0018] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.

[0019] refer to Figure 1-3 A wearable integrated electrocardiogram and respiratory monitoring system, comprising: The signal acquisition module is used to collect the user's electrocardiogram signal, respiratory signal, motion data and location information. These four types of data constitute multi-source physiological data. The respiratory impedance transmitting module is used to transmit a safe alternating current to the human body to obtain signals of changes in respiratory impedance. The signal processing module is used to filter and amplify, perform analog-to-digital conversion, and fuse multi-source data on the acquired electrocardiogram signals, respiratory signals, and motion data. The core control module is used for anomaly detection and data encapsulation based on fused feature vectors; The wireless communication module is used to upload data to the cloud platform, supporting regular uploads, abnormal uploads, and emergency uploads. The power and safety interaction module is used to provide power and realize electrode detachment detection, low battery reminder and SOS emergency trigger functions; The cloud platform management module is used to analyze and process the received data, enabling hierarchical alarms, map-based visual monitoring, and closed-loop management of medical treatment.

[0020] In this embodiment, the signal acquisition module specifically includes: The signal acquisition module is used to collect the user's electrocardiogram (ECG) signal, respiratory signal, motion data, and location information. These four types of data constitute multi-source physiological data. During implementation, the module includes an ECG acquisition unit, a respiratory acquisition unit, a motion acquisition unit, and a location acquisition unit. Each acquisition unit performs synchronous sampling under the same time reference to ensure the consistency of multi-source physiological data in the time dimension.

[0021] The ECG acquisition unit acquires the raw ECG signal through the first and second electrode patches placed on the user's chest, and suppresses common-mode interference signals through differential sampling. The raw ECG signal is processed by a primary filtering circuit and then the first ECG signal is output. The first ECG signal is processed sequentially by a pre-amplifier circuit and a post-amplifier and filter circuit. The pre-amplifier circuit amplifies the weak ECG signal to several millivolts to enhance signal strength and reduce noise interference. The post-amplifier and filter circuit uses bandpass filtering (e.g., 0.5~40 Hz) to remove high-frequency noise and low-frequency drift, while further adjusting the signal amplitude to make the output standard ECG signal amplitude stable and the waveform complete, suitable for subsequent analog-to-digital conversion and analysis. The respiratory acquisition unit continuously samples the impedance changes caused by chest respiration based on the principle of body surface impedance changes. The motion acquisition unit acquires user motion status data, including changes in cadence and exercise intensity, through a triaxial accelerometer. The positioning and acquisition unit obtains the user's real-time location information through GPS and base station-assisted positioning.

[0022] During the data acquisition process, the signal acquisition module timestamps the data from each channel and performs time alignment processing based on a unified clock source, so that the data collected by different sensors form an aligned data stream on the same time series, generating a standardized multi-source physiological data sequence.

[0023] In this embodiment, the respiratory impedance emission module specifically includes: The respiratory impedance transmitting module is used to transmit a safe alternating current to the human body to obtain a signal of respiratory impedance change. In its specific implementation, the respiratory impedance transmitting module includes a voltage / current conversion unit, a constant current excitation unit, and a safety limiting control unit.

[0024] The voltage / current conversion unit is used to convert the control signal into a stable AC excitation signal; the constant current excitation unit is used to output a weak AC current of a preset frequency to the human chest tissue, forming a corresponding impedance change response signal during the respiratory cycle; the safety limiting control unit is used to limit the amplitude of the output current so that the output current is always kept within the human safety threshold range.

[0025] During the respiratory impedance acquisition process, a current path is formed between the transmitting and receiving electrodes. When the volume of the human chest cavity changes due to inhalation and exhalation, the impedance between the electrodes changes accordingly, forming a periodic modulation signal. This modulation signal is then input as a respiratory characteristic signal to the subsequent signal processing module.

[0026] In this embodiment, the signal processing module specifically includes: The signal processing module is used to filter, amplify, convert analog to digital, and fuse the acquired electrocardiogram signals, respiratory signals, and motion data. In specific implementation, the signal processing module includes an analog front-end processing unit, an analog-to-digital conversion unit, and a multi-source fusion processing unit.

[0027] The analog front-end processing unit performs bandpass filtering on the ECG and respiratory signals to remove high-frequency noise and low-frequency drift interference, and amplifies the signals to improve the signal-to-noise ratio. The analog-to-digital conversion unit converts the analog signals into digital signals while maintaining consistent sampling accuracy.

[0028] The multi-source fusion processing unit is used to perform time-aligned fusion processing on electrocardiogram data, respiratory data, and exercise data. A weight allocation mechanism is introduced during the fusion process to make different types of physiological data contribute differently to the fusion result, thereby generating a unified multi-source physiological feature representation.

[0029] In this embodiment, the core control module specifically includes: The core control module is used to perform anomaly detection and data encapsulation on the processed data; in specific implementation, the core control module includes an anomaly detection unit and a data encapsulation unit.

[0030] The anomaly detection unit makes a joint judgment on heart rate abnormalities, respiratory abnormalities, and movement abnormalities based on the temporal change characteristics of multi-source physiological data. Anomaly identification is achieved by combining threshold detection and trend analysis. When an abnormal state is detected, anomaly labeling information is generated.

[0031] The data encapsulation unit is used to encapsulate multi-source physiological data and abnormality marking information in a unified manner to form a standard data frame structure. The data frame structure includes at least device identifier, timestamp information, multi-source physiological data and abnormality status identifier for communication transmission.

[0032] In this embodiment, the wireless communication module specifically includes: The wireless communication module is used to upload data to the cloud platform, supporting regular uploads, abnormal uploads, and emergency uploads. In specific implementation, the wireless communication module includes a communication scheduling unit and a transmission control unit.

[0033] The communication scheduling unit schedules the upload strategy according to the data type. Under normal conditions, uploads are performed on a timed basis according to a preset period. When an abnormal marker is detected, an abnormal upload mechanism is triggered. When the user presses the SOS emergency button, the emergency upload channel is immediately activated.

[0034] The transmission control unit is used to perform packet processing and retransmission control on uploaded data, and to execute breakpoint resume strategy when network quality deteriorates, so as to ensure data integrity and transmission reliability.

[0035] In this embodiment, the power supply and safety interaction module specifically includes: The power and safety interaction module is used to provide power and realize electrode detachment detection, low battery reminder and SOS emergency trigger functions; In practice, the power and safety interaction module includes a power management unit, a safety detection unit, and an interaction response unit.

[0036] The power management unit provides a stable DC power supply to each functional module and monitors the battery status in real time; the safety detection unit detects the electrode connection status and generates an abnormal signal when an electrode is detected to be detached or has poor contact; the interactive response unit responds to the SOS button trigger signal and transmits the signal to the core control module to trigger the emergency upload mechanism.

[0037] In this embodiment, the cloud platform management module specifically includes: The cloud platform management module is used to analyze and process the received data, enabling hierarchical alarms, map-based visual monitoring, and closed-loop management of medical treatment. In practice, the cloud platform management module includes a data receiving unit, an analysis and processing unit, and a business scheduling unit.

[0038] The data receiving unit receives multi-source physiological data uploaded from multiple wearable monitoring terminals; the analysis and processing unit performs real-time analysis of the received data and classifies abnormal states according to preset rules; the business scheduling unit triggers an alarm mechanism based on the classification results and displays them visually on the map interface.

[0039] Meanwhile, the cloud platform management module records the entire medical treatment process, including alarm generation, doctor interpretation, treatment execution, and result archiving, thus forming a closed-loop management structure.

[0040] Example 1: To verify the feasibility of the present invention in practice, it was applied to the scenario of sports health monitoring and emergency management in long-distance endurance events. In this scenario, participants are prone to risks such as abnormal heart rate, respiratory disorder, and cardiopulmonary overload during long-term high-intensity exercise. At the same time, due to the wide distribution of participants and the significant dynamic changes in their exercise status, traditional monitoring methods are unable to obtain multidimensional physiological information in a timely manner and conduct unified analysis and rapid response, which can easily lead to problems such as delayed abnormal identification, untimely risk handling, and difficulty in medical resource allocation.

[0041] In this scenario, a wearable monitoring terminal synchronously collects the user's electrocardiogram (ECG) signals, respiratory signals, acceleration data, and positioning data. The ECG and respiratory signals are acquired through electrode patches placed on the chest. The ECG and respiratory signals share a first and second electrode, while the respiratory impedance transmitting electrode is positioned at a distance greater than or equal to a preset safety distance from the receiving electrode to reduce signal interference. Upon power-on, the device automatically enters continuous acquisition mode, continuously recording changes in ECG cycle, respiratory cycle, exercise intensity, and spatial position. Multi-source physiological data alignment is performed under a unified time reference, enabling multi-source data fusion analysis.

[0042] During data processing, the system monitors the electrode connection status in real time. When an electrode becomes loose or falls off, the electrode detachment detection circuit outputs a low-level signal, and the terminal immediately generates an alarm and uploads it to the cloud platform, achieving safe monitoring of the wearing status. Under normal conditions, data is uploaded at fixed intervals; when an abnormal heart rate or breathing is detected, an abnormal upload mechanism is triggered, actively uploading corresponding high-frequency data; when the user triggers the emergency help button, the emergency upload mechanism is immediately activated and the highest-level alarm is triggered, improving emergency response efficiency.

[0043] During cloud platform processing, multi-source physiological data is analyzed in real time, and a comprehensive health status assessment model is constructed by combining ECG trends, respiratory rate trends, and exercise intensity changes to achieve abnormality classification. Minor abnormalities are displayed as prompts, moderate abnormalities are indicated by pop-up windows, and high-risk abnormalities are highlighted in red on the map interface, enabling rapid abnormality location. Medical personnel can view ECG waveforms and trend curves in real time and issue treatment instructions for rapid intervention. After the event, the system automatically summarizes and analyzes the monitoring data, generates a comprehensive report including heart rate variation range, respiratory fluctuations, and abnormal event statistics, and pushes it to the user terminal for retrospective analysis of the exercise process.

[0044] Table 1: Performance Comparison of Wearable Integrated ECG and Respiratory Monitoring Systems

[0045] Analysis of the above data reveals that this invention significantly outperforms traditional monitoring equipment in terms of the completeness of multi-source physiological data acquisition, particularly in respiratory signal acquisition. The adoption of a respiratory impedance transmission and reception coordination mechanism makes respiratory signal acquisition more stable and reliable. Regarding the synchronization and consistency of multi-source data, this invention utilizes a unified time reference alignment mechanism, enabling the fusion of ECG, respiratory, motion, and location data on the same timeline, thereby significantly improving the accuracy of data fusion.

[0046] In terms of anomaly identification, this invention achieves a high level of accuracy in identifying both heart rate and respiratory anomalies through multidimensional physiological data joint analysis. Furthermore, the tiered alarm mechanism allows for differentiated handling based on different risk levels. Regarding emergency response, the SOS triggering mechanism and the automatic anomaly uploading mechanism work together to enable the system to complete data reporting and cloud response in a very short time, significantly reducing delays in medical intervention.

[0047] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A wearable electrocardiogram and respiration integrated monitoring system, characterized in that, include: The signal acquisition module is used to collect the user's electrocardiogram signal, respiratory signal, motion data and location information. These four types of data constitute multi-source physiological data. The respiratory impedance transmitting module is used to transmit a safe alternating current to the human body to obtain signals of changes in respiratory impedance. The signal processing module is used to filter and amplify, perform analog-to-digital conversion, and fuse multi-source data on the acquired electrocardiogram signals, respiratory signals, and motion data. The core control module is used for anomaly detection and data encapsulation based on fused feature vectors; The wireless communication module is used to upload data to the cloud platform, supporting regular uploads, abnormal uploads, and emergency uploads. The power and safety interaction module is used to provide power and realize electrode detachment detection, low battery reminder and SOS emergency trigger functions; The cloud platform management module is used to analyze and process the received data, enabling hierarchical alarms, map-based visual monitoring, and closed-loop management of medical treatment. 2.The wearable ECG and respiration integrated monitoring system of claim 1, wherein, The signal acquisition module specifically includes: The first electrode patch and the second electrode patch are used to be attached to preset positions on the user's chest to collect raw electrocardiogram signals; The raw ECG signal is processed by a primary filtering circuit and then the first ECG signal is output. The first electrocardiogram signal is processed sequentially by a pre-amplifier circuit and a post-amplifier and filter circuit. The pre-amplifier circuit is used to amplify the gain to improve the signal-to-noise ratio, and the post-amplifier and filter circuit is used to bandpass filter to remove high-frequency noise and low-frequency drift, outputting a standard electrocardiogram signal with stable amplitude. By utilizing the shared acquisition structure of the first electrode patch and the second electrode patch, respiratory modulation signals are acquired to obtain respiratory impedance change signals. The respiratory impedance change signal is demodulated by a synchronous demodulation circuit to obtain a respiratory demodulation signal; The respiratory demodulation signal is low-pass filtered to output a respiratory rate characteristic signal; Motion data is obtained by collecting motion acceleration sequences from accelerometers; Location information is obtained by the positioning acquisition unit to acquire the user's real-time location, and is output synchronously with the acquisition time of electrocardiogram signals, respiratory signals and motion data. 3.The wearable ECG and respiration integrated monitoring system of claim 2, wherein, The respiratory impedance emission module specifically includes: An AC excitation signal generating unit is used to generate high-frequency AC excitation signals; Voltage / current conversion circuit is used to convert AC excitation signals into constant current output; A precision reference voltage source used to stabilize the output reference of voltage / current conversion circuits; The third and fourth electrode patches are used to apply a constant current to the surface of the human chest cavity. A preset distance is set between the third electrode patch and the receiving electrode along the surface of the chest cavity, so that the current passes through the chest tissue to form a respiratory impedance measurement path. The impedance changes regularly with the respiratory cycle to obtain a high signal-to-noise ratio respiratory characteristic signal.

4. The wearable ECG and respiration integrated monitoring system of claim 3, wherein, The signal processing module specifically includes: The ECG filtering unit is used to filter standard ECG signals to obtain purified ECG signals; The respiratory demodulation unit is used to perform envelope extraction processing on the respiratory demodulation signal to obtain respiratory feature signals; The data synchronization unit is used to perform time-aligned processing on electrocardiogram signals, respiratory signals, motion data, and positioning data to generate a synchronized data sequence. The data fusion unit is used to perform multi-source feature fusion processing on the synchronous data sequence, outputting a fused feature vector. The fused feature vector is used for anomaly detection and data encapsulation processing.

5. The wearable ECG and respiration integrated monitoring system of claim 4, wherein, The core control module specifically includes: An anomaly detection unit is used to determine anomalies based on fused feature vectors and generate anomaly status identifiers. When the electrocardiogram or respiratory characteristics exceed the preset threshold range, an abnormal status indicator is output. The data encapsulation unit is used to encapsulate electrocardiogram signals, respiratory signals, motion data, positioning data, and abnormal status indicators according to a preset data structure to generate data frames; The storage control unit is used to store data frames into the storage unit.

6. The wearable integrated ECG and respiratory monitoring system according to claim 5, characterized in that, The wireless communication module specifically includes: A wireless communication unit is used to establish a wireless data transmission link; A network access unit is used to enable communication network access. The standard upload unit is used to upload data frames to the cloud platform according to a preset time period; The abnormal upload unit is used to trigger data upload when an abnormal state is detected. The emergency upload unit is used to immediately upload the current data frame and location information upon receiving an SOS trigger signal.

7. A wearable integrated ECG and respiratory monitoring system according to claim 6, characterized in that, The power supply and safety interaction module specifically includes: The power management unit is used to provide stable power to each functional module; The electrode status detection unit is used to detect the contact status of the electrode patch and generate a detachment alarm signal when the contact status is abnormal. The power detection unit is used to detect the remaining battery power and output a prompt signal when the power is lower than a preset range; The SOS trigger unit is used to generate an emergency distress signal when user operation is detected.

8. The wearable integrated ECG and respiratory monitoring system according to claim 1, characterized in that, The cloud platform management module specifically includes: The data receiving unit is used to receive data frames uploaded by the wireless communication module; The data analysis unit is used to analyze and process electrocardiogram and respiratory signals to generate abnormality level information; The hierarchical alarm unit is used to trigger alarm information of the corresponding level according to the level of abnormality; The map visualization unit is used to map location information onto an electronic map and display it in real time. The medical treatment unit is used to record alarm information and treatment processes, forming a closed-loop record. The report generation unit is used to generate monitoring reports based on historical data.

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