Dual-mode triggered animal in-vitro counterpulsation device, system and control method

Abstract

The invention relates to the technical field of veterinary medical equipment, and particularly discloses a dual-mode triggered animal external counterpulsation device and system and a control method. The device comprises a main control module, an electrocardiosignal collecting and processing module, a self-adaptive control module, a multi-section air bag assembly and an air source control system, animal electrocardiosignals can be collected in real time, ST-section trigger points can be recognized, and accurate synchronization with the diastolic period is achieved. The system dynamically adjusts the air bag pressure, the inflation rhythm and the inflation sequence according to parameters such as animal types and physiological states, has a closed-loop feedback control mechanism, and can automatically correct or pause treatment when an abnormal state is detected. The device has a scientific research mode and a clinical mode, supports recording and exporting of treatment data, is suitable for animal model research and rehabilitation treatment of cardiovascular and cerebrovascular diseases of pets, and has the advantages of being high in synchronization precision, high in individual adaptability, safe and controllable in treatment process and the like.

Description

Technical Field

[0001] This invention relates to the field of veterinary medical equipment technology, specifically to a dual-mode triggered animal external counterpulsation device, system, and control method. Background Technology

[0002] External counterpulsation (ECP) is a non-invasive circulatory support therapy widely used in the rehabilitation of patients with cardiovascular diseases such as coronary heart disease, angina pectoris, and heart failure. Its basic principle is to use an airbag to sequentially pressurize the lower limbs during diastole, pushing venous blood back to the heart, thereby improving coronary perfusion and reducing cardiac load. With the development of medical technology, this technology has achieved clear efficacy in human clinical trials and continues to evolve towards intelligence and personalization. For example, Chinese patent CN118141355A discloses an adaptive adjustment system for an external counterpulsation device, which includes a data acquisition unit, a data processing unit, a data analysis unit, and an adaptive adjustment unit. However, in the field of animal medicine, especially in the construction of animal experimental models and the treatment of cardiovascular and cerebrovascular diseases in pets, the direct application of traditional human external counterpulsation devices faces significant technical obstacles, mainly including the following aspects: insufficient synchronization accuracy; existing devices mostly use the R wave as a trigger signal, but animal heart rates are generally fast (up to 400 bpm or more in experimental mice), and traditional algorithms cannot accurately identify the ST segment and the onset of diastole, resulting in inflation delay and poor intervention timeliness; parameter adaptability. Poor performance: Significant differences exist between different animal species in body size, vascular elasticity, and blood flow characteristics, making it easy for fixed pressure and rhythm control strategies to cause adverse reactions such as overpressure injury and ineffective hypoperfusion; Closed control systems: Most human-use devices are highly enclosed, lacking signal output and parameter customization interfaces for research purposes, which limits their application in research animal models; Large device size: Traditional devices are bulky and lack portability, with complex gas paths, making them unsuitable for deployment in animal experimental tables, veterinary clinics, and small operating rooms; Lack of treatment feedback: Most devices lack real-time feedback mechanisms, making it impossible to adjust parameters promptly based on the physiological responses of animals during treatment, posing a risk of fluctuating intervention effects or even amplified risks. Summary of the Invention

[0003] The technical problem to be solved by this invention is to overcome the shortcomings of the prior art and provide a dual-mode triggered animal external counterpulsation device, system and control method that can significantly improve the accuracy of treatment synchronization: by integrating R-wave cycle prediction and ST segment dynamic correction mechanism, and with confidence score decision, high-precision synchronization triggering can be achieved in animals with high heart rate, and the risk of airbag delay and misalignment can be reduced.

[0004] The technical solution of this invention is as follows:

[0005] A dual-mode triggered external counterpulsation device for animals, comprising:

[0006] The main control module is used to receive the collected animal physiological parameters and output electrical signals to control the counterpulsation process through feature extraction processing.

[0007] The electrocardiogram signal processing module includes an electrocardiogram sensor, an adaptive filtering unit, an ST segment feature extraction unit, and an R wave period prediction unit. It is used to acquire animal electrocardiogram signals in real time, extract the ST segment origin, offset, and morphological features, calculate the average cardiac cycle through the R wave period, and generate preset inflation timing parameters.

[0008] The intelligent triggering module is used to dynamically determine the inflation triggering strategy based on the ST segment confidence score;

[0009] The adaptive control module is used to dynamically calculate the inflation pressure, duration, and rhythm sequence of each air sac segment based on animal species, weight, and heart rate parameters, and generate a complete inflation and deflation strategy.

[0010] Execution module: includes a multi-segment airbag assembly and an air source control system. The airbag assembly covers the animal's limbs and has at least two independent segments. The air source system consists of a miniature air pump, a solenoid valve assembly, and a pressure regulating unit, which realizes synchronous or sequential inflation and deflation of the airbags according to control commands.

[0011] Abnormal rhythm adaptation module: used to detect ST segment recognition failure or signal interference, trigger the sliding window smoothing algorithm and multi-level fault tolerance degradation mechanism, and if necessary, fall back to the R wave triggering logic and trigger audible and visual warnings;

[0012] Pressure closed-loop feedback module: Real-time monitoring of airbag pressure fluctuations through built-in piezoelectric sensors to prevent local over-inflation or lag, and improve the safety of blood flow pressurization;

[0013] User interface module: including graphical control panel or remote terminal, for doctors to input animal parameters, select treatment mode, view real-time status and respond to alarm information;

[0014] Data recording and export module: used to record ECG, trigger time, air pressure parameters and feedback data in real time during treatment, and supports exporting standard format data via USB, Wi-Fi or Bluetooth.

[0015] Preferably, the ECG signal processing module extracts the ST segment start position using slope recognition, baseline correction, and time window fitting methods to dynamically correct the preset inflation timing generated by R-wave cycle prediction and control the trigger delay to be less than 10ms. The ST segment recognition uses multi-algorithm cross-validation, including baseline slope change method and frequency domain peak analysis, and is used to construct a confidence score to assist in trigger logic judgment.

[0016] Preferably, the adaptive control module constructs an individualized counterpulsation model based on fused physiological parameters, and uses a lightweight neural network, support vector machine or fuzzy control algorithm to dynamically generate and predict the airbag inflation pressure and control strategy coupled with the cycle T according to animal type, weight, heart rate and vascular impedance characteristics.

[0017] Preferably, the control strategy can be automatically invoked from a treatment logic library, including at least three different indication modes:

[0018] Coronary artery disease mode: Increase the initial pressure of counterpulsation to promote coronary perfusion;

[0019] Cerebral ischemia mode: Extend the pressure after counterpulsation to maintain carotid artery flow velocity;

[0020] Peripheral vascular disease pattern: prolonged total compression time, enhanced terminal capillary perfusion.

[0021] Preferably, the multi-segment airbag assembly includes three parts: the lower leg segment, the thigh segment, and the buttock segment. Each segment is connected to an independent inflation channel, which can realize a sequential compression or a priority compression strategy for the affected area.

[0022] Preferably, the device has a research mode and a clinical mode. In the research mode, all control parameters and data acquisition frequencies are supported, while in the clinical mode, preset treatment logic and a simplified human-machine interface are provided.

[0023] Preferably, the data recording and export module can automatically record electrocardiogram changes, airbag pressure waveforms, and physiological response indicators according to the treatment cycle, and export them to a standard format via USB, Wi-Fi, or Bluetooth interface.

[0024] A dual-mode triggered animal external counterpulsation therapy system applies an animal external counterpulsation device based on ST segment dynamic correction and R-wave cycle benchmark. The system receives treatment data and performs remote evaluation; supports doctors to remotely modify treatment parameters and download reports; and allows for multi-terminal synchronous authorization management of treatment permissions and record archiving.

[0025] A method for controlling animal external counterpulsation with dual-mode triggering, based on an animal external counterpulsation therapy system with ST segment dynamic correction and R-wave cycle benchmark dual-mode triggering, includes the following steps:

[0026] S1: Real-time acquisition of animal electrocardiogram signals, extraction of R-wave period to calculate average cardiac cycle T, and generation of baseline time series parameters;

[0027] S2: Extract the starting point, offset, and morphological features of the ST segment, and calculate the confidence score;

[0028] S3: Execute a three-stage triggering logic based on the ST confidence level: When the confidence level is ≥80, the trigger point = ST start point + 5ms; when the confidence level is between 40 and 80, wait for the ST signal or use T×0.25; when the confidence level is <40, force the use of T×0.25.

[0029] S4: Simultaneously acquire pulse wave and impedance parameters to assess the current vascular status;

[0030] S5: Combining basic animal information and physiological state, select a control model from the strategy library to generate inflation sequence, pressure and duration;

[0031] S6: Executes airbag action and monitors feedback in real time; if there are abnormal fluctuations, the control parameters are dynamically corrected.

[0032] S7: Records the entire treatment process and supports export for efficacy evaluation or scientific research analysis.

[0033] Compared with the prior art, the present invention has the following advantages:

[0034] 1. Significantly improves the accuracy of treatment synchronization: By integrating R-wave cycle prediction and ST segment dynamic correction mechanism, and with confidence score decision-making, it achieves high-precision synchronous triggering in animals with high heart rate, reducing the risk of airbag delay and misalignment.

[0035] 2. Achieve individualized adaptive treatment: The system can automatically identify the basic characteristics of animals and adaptively adjust treatment parameters, breaking through the limitations of the existing "one-size-fits-all" approach.

[0036] 3. Enhanced safety protection capabilities: The system has the ability to monitor physiological signals in a closed loop, judge abnormal reactions in real time and adjust parameters or automatically stop treatment.

[0037] 4. Supports both scientific research and clinical use: It provides an open data structure and remote access capability, which can be widely used in animal model research or treatment in primary animal hospitals.

[0038] 5. Compact structure and flexible deployment: The system adopts a modular design and lightweight materials, reducing its volume by more than 60%, making it suitable for laboratory tables, treatment carts, or mobile medical environments. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a schematic diagram of the system composition of the external counterpulsation device for animals of the present invention.

[0041] Figure 2 This is the control timing diagram of the present invention based on the dual-mode triggering mechanism of ST segment dynamic correction and R-wave period prediction.

[0042] Figure 3 This is a logic block diagram of the adaptive parameter generation of the present invention.

[0043] Figure 4 This is a flowchart of the closed-loop feedback response mechanism of the present invention.

[0044] Figure 5 This is a schematic diagram of the structure of a multi-segment airbag assembly. Detailed Implementation

[0045] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0046] Example 1

[0047] like Figure 1 As shown, an animal external counterpulsation device based on dual-mode triggering of ST segment dynamic correction and R-wave period prediction includes the following functional modules:

[0048] ECG signal processing module: includes ECG sensor, filtering unit, feature extraction unit and R-wave period analysis unit, used to acquire animal ECG signals, identify R-wave period and estimate mean cardiac cycle T, and extract ST segment origin, offset and morphological features.

[0049] Trigger control module: used to execute trigger strategy judgment based on ST segment confidence score. When the confidence is ≥80%, the ST segment start point + 5ms is used as the inflation trigger point. When the confidence is between 40% and 80%, the ST segment and the cycle prediction value are mixed and waited for. When the confidence is <40%, it returns to the R wave cycle prediction point. The trigger point is used to drive the three-stage timing control of inflation-pressure holding-deflation.

[0050] Adaptive control module: Based on factors such as animal species, physiological state, and blood flow feedback, it dynamically calculates the pressure, duration, and sequence of each air sac segment using a pre-trained model (such as a lightweight neural network or fuzzy controller).

[0051] Multi-segment airbag assembly: including lower leg segment, thigh segment and hip segment, supporting independent zone control, suitable for sequential compression or area priority strategy;

[0052] Gas source control module: consists of a micro pump, solenoid valve group and pressure feedback sensor, supports closed-loop control and quantitative gas filling;

[0053] Abnormal rhythm adaptation module: used to automatically switch to predictive triggering or R-wave backup logic and trigger an early warning mechanism in the event of continuous failure of ST segment identification or severe signal fluctuations;

[0054] User interface module: Provides a graphical interface or remote App support for doctors to input parameters, view status, and adjust modes;

[0055] Data recording and export module: Records key data such as ECG waveform, ST confidence, trigger mode, and airbag status, and supports exporting to CSV, EDF and other formats via USB, Wi-Fi or Bluetooth.

[0056] The device implements a dual-mode triggering mechanism based on R-wave period prediction as a reference and ST segment dynamic correction as a guide. Combined with pressure closed-loop control and multi-segment intelligent airbag drive, it enables individualized and precise counterpulsation intervention for multiple species of animals. It has the advantages of low power consumption, small size, fast response and strong adaptability.

[0057] In some embodiments, the ST segment identification module extracts the ST segment start point through filtering, baseline drift correction and slope thresholding algorithms, and calculates a confidence score to trigger strategy determination; even when the animal's heart rate is as high as 300-600 bpm, the ST segment related delay can still be controlled within 10 ms.

[0058] In some embodiments, the device has a research mode and a clinical mode. The former supports high-frequency data sampling and access to all parameters, making it suitable for experimental model research, while the latter provides simplified operating logic and is suitable for the treatment of chronic diseases in pets.

[0059] In some embodiments, the multi-segment airbag assembly is made of medical-grade flexible polymer material and features a quick-binding structure and a one-click airway connection design, improving treatment deployment efficiency.

[0060] In some embodiments, the abnormal rhythm adaptation module supports automatically entering a safe mode based on decreased blood oxygen, heart rate fluctuations, or body movement disturbances, reducing stress or pausing intervention, and issuing an alarm on the user interface.

[0061] A method for an animal external counterpulsation device based on dual-mode triggering of ST segment dynamic correction and R-wave cycle reference includes the following steps:

[0062] S1. Real-time signal acquisition of animal targets is performed using multimodal physiological sensors such as electrocardiogram (ECG), pulse wave (PPG), and limb impedance (BioZ), and the signals are sent to the main control system for processing.

[0063] S2. The system calculates the average cardiac cycle T based on the R-wave cycle and constructs predicted time parameters; at the same time, it uses the ST segment identification algorithm to extract the origin and morphological features, calculates the ST segment confidence based on this, and dynamically determines the inflation trigger point based on the confidence score results.

[0064] S3. The system receives basic information about the animal (such as species, weight, pulse wave conduction time, etc.) and combines it with the current physiological state. It then uses machine learning models (such as decision trees, neural networks, or fuzzy inference systems) to calculate individualized control parameters such as inflation pressure, duration, and partitioning order.

[0065] S4. Based on the confidence-driven triggering strategy, the system uses "ST start point + 5ms" as the inflation trigger point when the confidence level is high, executes a mixed strategy when the confidence level is medium, and uses T×0.25 cycle prediction triggering when the confidence level is low. Combined with individual adaptation parameters, the system drives the solenoid valve to achieve quantitative inflation and deflation.

[0066] S5. During the inflation process, the system continuously monitors changes in indicators such as blood pressure, blood oxygen, and limb resistance. When a stress response or abnormal fluctuation is detected, the system automatically lowers the air pressure, shortens the inflation time, or triggers the pause logic to form a closed-loop control.

[0067] S6. The system will record the electrocardiogram, trigger time points, pressure parameters, control commands and feedback indicators during the treatment process, and store them as structured files through the data export module for scientific research analysis or historical review.

[0068] In this technical solution, the system first collects the electrocardiogram signal of the animal through an electrocardiogram sensor and transmits the data to the main control module for processing in real time. The system can accurately sense the electrophysiological changes in each cardiac cycle of the animal and use it as the basis for subsequent control.

[0069] The main control module filters and corrects the baseline of the acquired ECG signals, and then uses a slope recognition algorithm to extract the ST segment initiation features. The system not only relies on the R wave prediction period to build a preliminary time series framework, but also uses the repolarization features of the ST segment for dynamic correction. The inflation triggering mode is flexibly selected through confidence scoring, thereby improving synchronization accuracy and system robustness.

[0070] Based on the relative position of the identified ST segment and the ECG cycle, combined with the animal's current heart rate and species parameters, the system automatically calculates the delay time window for airbag activation. Even in animals with high heart rates, such as laboratory mice, the system can dynamically adjust the control timing in real time through cycle prediction and ST confidence assessment, ensuring high-precision synchronization between airbag action and diastole.

[0071] Subsequently, as Figure 3As shown, the adaptive control module combines the animal's breed, weight, and vascular impedance value to match appropriate inflation pressure and duration from the control strategy library and generate specific control commands. The system can automatically formulate optimal treatment parameters based on the individual characteristics and hemodynamic differences of different animals, avoiding human parameter tuning errors.

[0072] After the control signal is issued, the air supply system drives the airbags in each section to inflate in sequence, and applies pressure to the calf, thigh and buttocks in sequence according to the set rhythm, forming an effective blood flow driving wave. The entire pressurization process is not only precisely synchronized with the heart cycle, but also takes into account the control of different parts and areas, and strengthens the targeted effect on different blood vessel segments.

[0073] During treatment, the system continuously monitors feedback signals such as blood oxygen, pulse waveform, and limb impedance, and transmits them to the closed-loop control model to determine whether the airbag parameters need to be corrected. If abnormalities such as animal agitation or poor blood flow occur during treatment, the system can automatically enter protection mode to reduce pressure or pause intervention and improve treatment safety.

[0074] Throughout the process, all key data, including ST segment recognition time, airbag action sequence, and changes in feedback signals, are recorded in real time and can be exported. Doctors or researchers can review all the process details after treatment for efficacy analysis or animal model research.

[0075] In some embodiments, in S1-S6, the system acquires the dog's electrocardiogram signal in real time through a three-lead ECG patch, extracts the ST segment initiation waveform features based on the ST segment identification module, selects a triggering strategy based on the confidence score, and generates inflation parameters based on the adaptive control module to achieve gradient counterpulsation.

[0076] In some embodiments, during steps S1-S6, the feedback module synchronously monitors the limb impedance change curve and blood oxygen concentration index. No drastic fluctuations were detected throughout the treatment. More than 350 sets of ST segment identification results and control feedback data were recorded and stored in the data recording module. After treatment, the complete data file is obtained through the export interface for efficacy comparison and subsequent research archiving.

[0077] After system startup, the system uses a three-lead ECG patch to acquire animal ECG signals. After filtering and baseline correction, the ECG processing module identifies the R wave and calculates the mean cardiac cycle T, while simultaneously extracting the ST segment origin and features. The trigger control module provides a confidence score based on the current ST segment identification results and determines the final trigger point according to the following logic:

[0078] 1. Confidence level ≥ 80%: Use ST segment start point + 5ms as the trigger point;

[0079] 2. Confidence level between 40% and 80%: The system listens for the ST segment signal within 10ms before the T×0.25 position. If it hits, the ST segment is used; otherwise, it returns to the periodic prediction point.

[0080] 3. Confidence level < 40%: Use T × 0.25 as the trigger point.

[0081] This dual-mode mechanism, based on R-wave period prediction and ST segment dynamic correction, achieves a triggering strategy that combines high synchronization accuracy with fault tolerance, making it particularly suitable for the rhythmic fluctuation environment of animals with high heart rates.

[0082] Subsequently, as Figure 4 As shown, the main control module calls the adaptive control module, which, in conjunction with parameters such as animal species, weight, sex, HR, SpO2, and BioZ, inputs them into a pre-trained neural network model to generate a control strategy, including inflation pressure, duration, sequence, and cycle. The system then drives the air source control module to execute the airbag pressurization action via control signals.

[0083] like Figure 5 As shown, the airbag assembly comprises three sections: the lower leg, the thigh, and the buttocks, with independent tracheas connected to the control valve assembly. The system applies pressure sequentially from distal to proximal to promote blood return to the heart and brain, enhancing perfusion efficiency. The material used is a flexible medical composite membrane, offering excellent fit and durability, suitable for various animal species.

[0084] like Figure 2 As shown, the device supports a low-power remote startup mechanism. The client wakes up the MCU main control system via the BLE protocol, completes the host power supply and control process initialization, and improves the system standby efficiency and remote operation convenience.

[0085] Example 2

[0086] During treatment, the main control module continuously collects feedback indicators such as SpO2, BioZ, and HRV, and the abnormal rhythm adaptation module performs status analysis. If any of the following abnormalities are detected: blood oxygen saturation below 88%, impedance fluctuation greater than 20%, or heart rate fluctuation exceeding ±25 bpm, the system will enter protection mode, automatically reducing pressure, shortening duration, or pausing pressurization, while simultaneously issuing a prompt message through the user interface. The doctor can manually resume or terminate the treatment based on the prompts.

[0087] This invention's device was applied to an experimental platform to perform non-invasive external counterpulsation therapy on a rat suffering from chronic myocardial ischemia. During the experiment, the rat was placed in a supine position and moderately anesthetized, fixed to an insulated, non-slip yellow operating board. Electrodes were attached to each of the four limbs to acquire three-lead ECG signals; the miniature multi-segment airbag assembly of this invention was installed on both hind limbs and connected to the air supply control system via tubing. The device was configured with a sequential inflation strategy of "thigh segment → buttock segment," and the main control system combined R-wave period prediction and ST segment identification results to perform synchronous inflation control. During treatment, the system recorded parameters such as ECG, pressure waveform, and trigger time. After the experiment, the data could be exported through the data module for efficacy analysis and scientific research modeling. The use of this device in small experimental animals verified its structural adaptability, signal response stability, and treatment safety.

[0088] Therefore, this technical solution integrates R-wave cycle prediction and ST-segment dynamic recognition to achieve a dual-mode intelligent triggering mechanism. Combined with an adaptive control strategy and a closed-loop feedback response system, it achieves automation, individualization, and intelligence in animal external counterpulsation therapy. This invention has advantages such as high synchronization accuracy, strong individual adaptability, fast response speed, and strong safety assurance capabilities. It is suitable for animal experimental research, adjunctive treatment of chronic diseases in pets, and other scenarios, and has significant practical value and promotion potential.

[0089] Although the present invention has been described in detail with reference to the accompanying drawings and preferred embodiments, the invention is not limited thereto. Various equivalent modifications or substitutions can be made to the embodiments of the invention by those skilled in the art without departing from the spirit and essence of the invention, and such modifications or substitutions should all be within the scope of the invention. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the invention should also be covered within the protection scope of the invention. Therefore, the protection scope of the invention should be determined by the scope of the claims.

Claims

1. A dual-mode triggered external counterpulsation device for animals, characterized in that, It includes: The main control module is used to receive the collected animal physiological parameters and output electrical signals to control the counterpulsation process through feature extraction processing. The electrocardiogram signal processing module includes an electrocardiogram sensor, an adaptive filtering unit, an ST segment feature extraction unit, and an R wave period prediction unit. It is used to acquire animal electrocardiogram signals in real time, extract the ST segment origin, offset, and morphological features, calculate the average cardiac cycle through the R wave period, and generate preset inflation timing parameters. The intelligent triggering module is used to dynamically determine the inflation triggering strategy based on the ST segment confidence score; The adaptive control module is used to dynamically calculate the inflation pressure, duration, and rhythm sequence of each air sac segment based on animal species, weight, and heart rate parameters, and generate a complete inflation and deflation strategy. Execution module: includes a multi-segment airbag assembly and an air source control system. The airbag assembly covers the animal's limbs and has at least two independent segments. The air source system consists of a miniature air pump, a solenoid valve assembly, and a pressure regulating unit, which realizes synchronous or sequential inflation and deflation of the airbags according to control commands. Abnormal rhythm adaptation module: used to detect ST segment recognition failure or signal interference, trigger sliding window smoothing algorithm and multi-level fault tolerance degradation mechanism, and in emergency situations, fall back to R wave triggering logic and trigger audible and visual warnings; Pressure closed-loop feedback module: Real-time monitoring of airbag pressure fluctuations through built-in piezoelectric sensors to prevent local over-inflation or lag, and improve the safety of blood flow pressurization; User interface module: including a graphical control panel or remote terminal, for doctors to input animal parameters, select treatment modes, view real-time status and respond to alarm information; Data recording and export module: used to record ECG, trigger time, air pressure parameters and feedback data in real time during treatment, and supports exporting standard format data via USB, Wi-Fi or Bluetooth.

2. The dual-mode triggered animal external counterpulsation device as described in claim 1, characterized in that, The ECG signal processing module extracts the ST segment start position through slope recognition, baseline correction and time window fitting, which is used to dynamically correct the preset inflation sequence generated by R wave period prediction and control the trigger delay to be less than 10ms. The ST segment recognition adopts multi-algorithm cross-validation, including baseline slope change method and frequency domain peak analysis, and is used to construct confidence score to assist trigger logic judgment.

3. The dual-mode triggered animal external counterpulsation device as described in claim 1, characterized in that, The adaptive control module constructs an individualized counterpulsation model based on fused physiological parameters. It uses lightweight neural networks, support vector machines, or fuzzy control algorithms to dynamically generate and predict the airbag inflation pressure and control strategy coupled with the cycle T based on animal type, weight, heart rate, and vascular impedance characteristics.

4. The dual-mode triggered animal external counterpulsation device as described in claim 3, characterized in that, The control strategy is automatically invoked from the treatment logic library, which includes at least three different indication modes: Coronary artery disease mode: Increase the initial pressure of counterpulsation to promote coronary perfusion; Cerebral ischemia mode: Extend the pressure after counterpulsation to maintain carotid artery flow velocity; Peripheral vascular disease pattern: prolonged total compression time, enhanced terminal capillary perfusion.

5. The dual-mode triggered animal external counterpulsation device as described in claim 1, characterized in that, The multi-segment airbag assembly consists of three parts: the lower leg segment, the thigh segment, and the buttock segment. Each segment is connected to an independent inflation channel, which can realize a sequential compression or a priority compression strategy for the affected area.

6. The dual-mode triggered animal external counterpulsation device as described in claim 1, characterized in that, The device has a research mode and a clinical mode. In the research mode, all control parameters and data acquisition frequencies are supported, while in the clinical mode, preset treatment logic and a human-machine interface are provided for simplified operation.

7. The dual-mode triggered animal external counterpulsation device as described in claim 1, characterized in that, The data recording and export module can automatically record electrocardiogram changes, airbag pressure waveforms, and physiological response indicators according to the treatment cycle, and export them to a standard format via USB, Wi-Fi, or Bluetooth interfaces.

8. A dual-mode triggered animal external counterpulsation therapy system, using the dual-mode triggered animal external counterpulsation device according to any one of claims 1-7, characterized in that, The dual-mode triggered animal external counterpulsation therapy system receives treatment data and performs remote evaluation; supports doctors to remotely modify treatment parameters and download reports; and allows for multi-terminal synchronous authorization management of treatment permissions and record archiving.

9. A method for controlling dual-mode triggered external counterpulsation in animals, using the dual-mode triggered external counterpulsation treatment system for animals as described in claim 8, characterized in that, Includes the following steps: S1: Real-time acquisition of animal electrocardiogram signals, extraction of R-wave period to calculate average cardiac cycle T, and generation of baseline time series parameters; S2: Extract the starting point, offset, and morphological features of the ST segment, and calculate the confidence score; S3: Execute a three-stage triggering logic based on the ST confidence level: When the confidence level is ≥80, the trigger point = ST start point + 5ms; when the confidence level is between 40 and 80, wait for the ST signal or use T×0.25; when the confidence level is <40, force the use of T×0.

25. S4: Simultaneously acquire pulse wave and impedance parameters to assess the current vascular status; S5: Combining basic animal information and physiological state, select a control model from the strategy library to generate inflation sequence, pressure and duration; S6: Executes airbag action and monitors feedback in real time; if there are abnormal fluctuations, the control parameters are dynamically corrected. S7: Records the entire treatment process and supports export for efficacy evaluation or scientific research analysis.

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