Centralized air supply type external counterpulsation air path system and control method thereof

Abstract

The invention discloses a centralized air supply type external counterpulsation air path system and a control method thereof. The system comprises a processor; a gas source module; a pipeline module; a gas path monitoring and data processing module; a feedback module; the control method of the system comprises the following steps that firstly, pulse signals of a monitored patient are collected through the feedback module; 2, air inflation and deflation of the air bag are judged through pulse signal processing and signal adjustment; thirdly, the processor controls opening and closing of different electromagnetic valves, the gas flow of different pipelines is adjusted, and the air pressure states of different air bags are guaranteed; and 4, monitoring the gas supply state, flow and pressure in real time based on the Internet of Things technology through a sensor and a data acquisition device, judging whether gas path conveying goes wrong or not through data analysis and processing, and giving an alarm and feeding back. The gas supply system has the advantages that highly integrated gas supply is realized, and the flexibility and the accuracy of gas control of the system are ensured.

Description

Technical Field

[0001] This invention relates to the field of external counterpulsation (ECP) airway system technology, specifically a centralized air supply type ECP airway system and its control method. Background Technology

[0002] External counterpulsation (ECP) is a non-invasive cardiovascular treatment technique primarily used to treat heart diseases such as coronary artery disease and angina pectoris. It applies sequential pressure to the patient's lower limbs or hips via an external device to enhance blood flow back to the heart and improve cardiac function. The key to this technique lies in precisely controlling the timing and intensity of the applied pressure to achieve the best therapeutic effect.

[0003] In existing external counterpulsation (EPP) techniques, the pneumatic system is a core component, responsible for providing and controlling the pressure applied to the patient. Traditional pneumatic systems typically include basic components such as an air pump, an air tank, and a solenoid valve. The air pump generates compressed air, the air tank stores compressed air, and the solenoid valve controls the direction and flow of compressed air to apply pressure to the patient.

[0004] However, existing gas supply systems are not centralized, and each external counterpulsation gas circuit requires a separate gas cylinder, air pump, and other supporting equipment, which is costly. Furthermore, the gas control in existing systems often lacks flexibility and precision, which can affect the treatment effect and patient comfort.

[0005] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] The technical problem this invention aims to solve is to overcome the above-mentioned technical defects and provide a centralized gas supply external counterpulsation gas circuit system and its control method. Through integrated design and advanced control technology, automated management is achieved. The system adopts Internet of Things technology, big data analysis, and artificial intelligence algorithms to achieve real-time monitoring of the gas supply status and improve energy utilization efficiency. On the host computer, wavelet analysis technology is used to analyze and identify feature points of human pulse signals. An optimal self-finding control algorithm is used to adjust the gas filling and discharging sequence of the system to ensure that the filling and discharging sequence conforms to human physiological requirements as much as possible. By using wavelet analysis processing technology, the characteristic information of human pulse can be easily extracted from human pulse signals, ensuring the flexibility and accuracy of gas control by the system.

[0007] To solve the above problems, the technical solution of the present invention is a centralized gas supply type external counterpulsation gas circuit system, comprising:

[0008] The system processor, with an accompanying algorithm module, processes electrical signals from other devices;

[0009] The air source module includes a central air storage device and an air compressor, with the compressed air from the air compressor stored in the central air storage device;

[0010] The pipeline module consists of multiple sets of pipelines connected to the gas outlet of the central gas storage equipment, with the other end of each pipeline connected to an airbag. Each pipeline is equipped with an individually controlled solenoid valve.

[0011] The gas supply monitoring and data processing module uses sensors and data acquisition equipment to monitor the gas supply status, flow rate, and pressure in real time based on Internet of Things technology. It analyzes and processes the data to determine whether there are problems with the gas delivery and issues an alarm.

[0012] The feedback module monitors the patient's pulse signal through data acquisition equipment and detects the air pressure signal through an air pressure detection sensor. After the detected signal is processed and judged by the processor, the processor controls the opening and closing of different solenoid valves and adjusts the gas flow in different pipelines to ensure the air pressure status of different airbags.

[0013] As a preferred approach, by utilizing data analysis and machine learning algorithms, the processor can automatically identify abnormal gas path conditions and take preventative measures based on data acquisition information and data analysis.

[0014] Preferably, the feedback module includes:

[0015] Pulse sensors and air pressure sensors, through pulse signal conditioning, process the weak signals transmitted by the pulse sensor accordingly, and are suitable for the processing range of embedded processors;

[0016] An embedded microcontroller, using an ARM processor with a RISC (Reduced Instruction Set Computing) architecture as its core, is used to process pulse signals and control the counterpulsation process.

[0017] The PC-based host computer system provides a human-machine interface, allowing operators to send commands or control signals to the system at any time, control and adjust the system's operation accordingly, and display the measured system parameters in real time.

[0018] Airbag actuator control mechanism: An airbag actuator with a certain load capacity controls the solenoid valve for air intake and exhaust.

[0019] Preferably, signal adjustment includes the following steps: input signal, preamplification, low-pass filtering, impedance filtering, gain amplification, baseline correction, level adjustment, and AD conversion.

[0020] Preferably, pulse signal processing includes the following steps:

[0021] Step 1: Pulse signal preprocessing based on wavelet transform;

[0022] Step 2: Elimination of pulse signal baseline drift and noise.

[0023] Step 3: Feature point detection algorithm.

[0024] This application also discloses a control method for a centralized gas supply type external counterpulsation gas circuit system, including the following steps:

[0025] Step 1: Collect and monitor the patient's pulse signal through the feedback module;

[0026] Step 2: Determine the inflation and deflation of the airbag through pulse signal processing and signal adjustment;

[0027] Step 3: The processor controls the opening and closing of different solenoid valves to adjust the gas flow in different pipelines and ensure the gas pressure status of different airbags.

[0028] Step 4: Using sensors and data acquisition equipment, monitor the gas supply status, flow rate, and pressure in real time based on Internet of Things technology. Analyze and process the data to determine if there are any problems with the gas delivery process and issue an alarm.

[0029] The advantages of this invention compared to existing technologies are:

[0030] 1. This invention achieves a highly integrated gas supply system. Through integrated design and advanced control technology, it realizes automated management. The system adopts Internet of Things technology, big data analysis, and artificial intelligence algorithms to achieve real-time monitoring of the gas supply status and improve energy utilization efficiency. The host computer uses wavelet analysis technology to analyze and identify feature points of human pulse signals, and uses an optimal self-finding control algorithm to adjust the gas filling and discharging sequence of the system to ensure that the filling and discharging sequence conforms to human physiological requirements as much as possible. By using wavelet analysis processing technology, the characteristic information of human pulse can be easily extracted from human pulse signals, ensuring the flexibility and accuracy of the system's gas control. Attached Figure Description

[0031] Figure 1 This is a system structure diagram of the present invention.

[0032] Figure 2 This is a structural diagram of the feedback module of the present invention.

[0033] Figure 3 This is a diagram illustrating the signal adjustment steps of the present invention. Detailed Implementation

[0034] To make the content of this invention easier to understand, the technical solutions in the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings.

[0035] A centralized gas supply type external counterpulsation gas path system includes:

[0036] The processor, along with its algorithm module, processes electrical signals from other devices.

[0037] The gas source module includes a central gas storage unit and an air compressor. Compressed air from the air compressor is stored in the central gas storage unit. Multiple sets of pipelines are connected to the air outlets of the central gas storage unit, with the other end of each pipeline connected to an air bladder. Each pipeline is equipped with an individually controlled solenoid valve. Through integrated design and advanced control technology, automated management is achieved. The system uses Internet of Things technology, big data analysis, and artificial intelligence algorithms to achieve real-time monitoring of the gas supply status and improve energy efficiency.

[0038] The gas path monitoring and data processing module uses sensors and data acquisition devices to monitor the gas supply status, flow rate, and pressure in real time based on Internet of Things technology. Through data analysis and processing, it determines whether there are problems in the gas path delivery and issues an alarm. Utilizing data analysis and machine learning algorithms, the processor can automatically identify abnormal gas path conditions based on the data acquisition information and data analysis, and take preventive measures to ensure the safety of the gas path system during use.

[0039] The feedback module monitors the patient's pulse signal through data acquisition equipment and detects the air pressure signal through an air pressure detection sensor. After the detected signal is processed and judged by the processor, the processor controls the opening and closing of different solenoid valves and adjusts the gas flow in different pipelines to ensure the air pressure status of different airbags.

[0040] The feedback module includes a pulse sensor and an air pressure sensor. It processes the weak signal transmitted by the pulse sensor through pulse signal conditioning, making it suitable for the processing range of embedded processors.

[0041] The embedded microcontroller uses an ARM processor with a RISC (Reduced Instruction Set Computing) architecture as its core to process pulse signals and control the counterpulsation process.

[0042] The PC-based host computer system provides a human-machine interface, allowing operators to send commands or control signals to the system at any time, control and adjust the system's operation accordingly, and display the measured system parameters in real time.

[0043] The airbag actuator control mechanism is an airbag actuator with a certain load capacity that controls the solenoid valve for air intake and exhaust.

[0044] Signal adjustment includes the following steps: input signal, preamplifier, low-pass filter, bandpass filter, gain amplification, baseline correction, level adjustment, and AD conversion.

[0045] Pulse signal processing includes the following steps:

[0046] Step 1: Pulse signal preprocessing based on wavelet transform;

[0047] Step 2: Elimination of pulse signal baseline drift and noise.

[0048] Step 3: Feature point detection algorithm.

[0049] The host computer uses wavelet analysis technology to analyze and identify feature points of human pulse signals. It uses an optimal self-finding control algorithm to adjust the inflation and deflation timing of the system to ensure that the inflation and deflation timing is as close as possible to human physiological requirements. By using wavelet analysis processing technology, the feature information of human pulse can be easily extracted from human pulse signals, ensuring the flexibility and accuracy of the system's gas control.

[0050] The control method for the above-mentioned centralized gas supply type external counterpulsation gas circuit system includes the following steps:

[0051] Step 1: Collect and monitor the patient's pulse signal through the feedback module;

[0052] Step 2: Determine the inflation and deflation of the airbag through pulse signal processing and signal adjustment;

[0053] Step 3: The processor controls the opening and closing of different solenoid valves to adjust the gas flow in different pipelines and ensure the gas pressure status of different airbags.

[0054] Step 4: Using sensors and data acquisition equipment, monitor the gas supply status, flow rate, and pressure in real time based on Internet of Things technology. Analyze and process the data to determine if there are any problems with the gas delivery process and issue an alarm.

[0055] The present invention and its embodiments have been described above. This description is not restrictive. In short, if a person skilled in the art is inspired by this description and designs a similar structure and embodiment without departing from the spirit of the present invention, such design should fall within the protection scope of the present invention.

Claims

1. A centralized air supply type external counterpulsation airway system, characterized in that, include: The processor, with an accompanying algorithm module, processes electrical signals from other devices; The air source module includes a central air storage device and an air compressor, with the compressed air from the air compressor stored in the central air storage device; The pipeline module consists of multiple sets of pipelines connected to the gas outlet of the central gas storage equipment, with the other end of each pipeline connected to an airbag. Each pipeline is equipped with an individually controlled solenoid valve. The gas supply monitoring and data processing module uses sensors and data acquisition equipment to monitor the gas supply status, flow rate, and pressure in real time based on Internet of Things technology. It analyzes and processes the data to determine whether there are problems with the gas delivery and issues an alarm. The feedback module monitors the patient's pulse signal through data acquisition equipment and detects the air pressure signal through an air pressure detection sensor. After the detected signal is processed and judged by the processor, the processor controls the opening and closing of different solenoid valves and adjusts the gas flow in different pipelines to ensure the air pressure status of different airbags.

2. The centralized air supply type external counterpulsation airway system according to claim 1, characterized in that: By utilizing data analysis and machine learning algorithms, the processor can automatically identify abnormal gas path conditions and take preventative measures based on data acquisition and analysis.

3. The centralized air supply type external counterpulsation airway system according to claim 1, characterized in that: The feedback module includes: Pulse sensors and air pressure sensors, through pulse signal conditioning, process the weak signals transmitted by the pulse sensor accordingly, and are suitable for the processing range of embedded processors; An embedded microcontroller, using an ARM processor with a RISC (Reduced Instruction Set Computing) architecture as its core, is used to process pulse signals and control the counterpulsation process. The PC-based host computer system provides a human-machine interface, allowing operators to send commands or control signals to the system at any time, control and adjust the system's operation accordingly, and display the measured system parameters in real time. Airbag actuator control mechanism: An airbag actuator with a certain load capacity controls the solenoid valve for air intake and exhaust.

4. The centralized air supply type external counterpulsation airway system according to claim 3, characterized in that: Signal adjustment includes the following steps: input signal, preamplifier, low-pass filter, bandpass filter, gain amplification, baseline correction, level adjustment, and AD conversion.

5. The centralized air supply type external counterpulsation airway system according to claim 3, characterized in that: Pulse signal processing includes the following steps: Step 1: Pulse signal preprocessing based on wavelet transform; Step 2: Elimination of pulse signal baseline drift and noise. Step 3: Feature point detection algorithm.

6. A control method for a centralized gas supply type external counterpulsation airway system according to claims 1-5, characterized in that: Includes the following steps: Step 1: Collect and monitor the patient's pulse signal through the feedback module; Step 2: Determine the inflation and deflation of the airbag through pulse signal processing and signal adjustment; Step 3: The processor controls the opening and closing of different solenoid valves to adjust the gas flow in different pipelines and ensure the gas pressure status of different airbags. Step 4: Using sensors and data acquisition equipment, monitor the gas supply status, flow rate, and pressure in real time based on Internet of Things technology. Analyze and process the data to determine if there are any problems with the gas delivery process and issue an alarm.

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