Intraoperative autonomic nervous system real-time monitoring system

Abstract

The application discloses the technical field of autonomic nerve real-time monitoring, and particularly relates to an autonomic nerve real-time monitoring system in surgery, which comprises a central processing unit, a signal acquisition module, a preprocessing module, a data processing module, an identification module and a comparison monitoring module, the signal acquisition module is used for collecting electrocardiogram or photoplethysmographic pulse wave original signals of a patient in surgery; the signal acquisition module is used for collecting electrocardiogram or photoplethysmographic pulse wave original signals of the patient in surgery, the original signals are preprocessed, the first signals are obtained, the absolute values of the occurrence times of each continuous heart rate acceleration force and the absolute values of the occurrence times of each continuous heart rate deceleration force of the detected autonomic nerve in the RR interval sequence are compared with the threshold values of the standard data of the corresponding autonomic nerve, and the corresponding autonomic nerve state of the patient in surgery is monitored, so that the data can be effectively processed, and the accuracy in the monitoring process is improved.

Description

Technical Field

[0001] This invention relates to the field of real-time monitoring of the autonomic nervous system, specifically a real-time monitoring system for the autonomic nervous system during surgery. Background Technology

[0002] The autonomic nervous system is the peripheral nervous system of vertebrates, differentiated and developed from somatic nerves to form a functionally independent nervous system. It is composed solely or primarily of efferent nerves, controlled by the brain, but possesses considerable independence, particularly in its ability to perform voluntary activities beyond conscious control; hence the name autonomic nervous system, also known as the involuntary nervous system or vegetative nervous system. The autonomic nervous system controls vital physiological functions such as heartbeat, respiration, digestion, blood pressure, and metabolism. It largely regulates bodily functions unconsciously, including heart rate, digestion, respiratory rate, pupillary response, urination, and sexual arousal. Its primary function is to control stress and emergency responses.

[0003] Intraoperative neurological monitoring utilizes various electrophysiological techniques to detect the integrity of nerve function in dangerous surgical conditions. It can reflect in real time whether nerves are damaged by traction, ischemia, thermal coagulation, etc., allowing the surgeon to stop the procedure promptly and restore nerve function to normal or near-normal levels. This reduces surgery-related complications, improves surgical safety, and lowers the incidence of nerve injury, and has become a common method and important component of surgical procedures.

[0004] Existing real-time monitoring systems for the autonomic nervous system during surgery have poor data processing capabilities. When erroneous monitoring results are obtained, they can interfere with medical staff during surgery and, in severe cases, even threaten the safety of patients. Therefore, this invention provides a real-time monitoring system for the autonomic nervous system during surgery. Summary of the Invention

[0005] The purpose of this invention is to provide a real-time monitoring system for the autonomic nervous system during surgery, in order to solve the problems mentioned in the background section.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a real-time monitoring system for autonomic nerves during surgery, comprising a central processing unit, a signal acquisition module, a preprocessing module, a data processing module, an identification module, and a comparison monitoring module, wherein the central processing unit is electrically connected to the signal acquisition module, the preprocessing module, the data processing module, the identification module, and the comparison monitoring module;

[0007] The signal acquisition module is used to acquire the raw signals of the patient's electrocardiogram or the photoplethysmography pulse wave of the body surface vascular bed during surgery.

[0008] The preprocessing module is used to receive the raw signals of the patient's electrocardiogram or photoplethysmography pulse wave acquired by the signal acquisition module during surgery and preprocess them to obtain the first signal;

[0009] The data processing module is used to identify the R wave in the first signal, extract the RR interval sequence based on each R wave, and determine the absolute value of the number of occurrences of each continuous heart rate acceleration force and the absolute value of the number of occurrences of each continuous heart rate deceleration force in the interval sequence based on the RR interval sequence.

[0010] The identification module stores standard data of the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the number of occurrences of each continuous heart rate deceleration force in the normal RR interval sequence of the corresponding autonomic nerve in the human body. By extracting and identifying the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the number of occurrences of each continuous heart rate deceleration force obtained from the data processing module, the corresponding autonomic nerve acquired by the signal acquisition module is identified, and the standard data of the corresponding autonomic nerve is retrieved from the identification module.

[0011] The comparison monitoring module is used to monitor and judge the autonomic nervous system. It compares the absolute values ​​of the number of times each continuous heart rate acceleration force and the absolute values ​​of the number of times each continuous heart rate deceleration force occurs in the RR interval sequence with the threshold values ​​of the corresponding standard data of the autonomic nervous system to monitor the corresponding autonomic nervous system status of the patient during surgery.

[0012] Preferably, the preprocessing module includes a first preprocessing module and a second preprocessing module; the first preprocessing module is used to receive the original ECG or photoplethysmography (PPG) signal of the patient during surgery acquired by the signal acquisition module, and extract a data segment with a time length of 10-30 seconds as the calculation window width; the second preprocessing module preprocesses the extracted ECG or PPG signal data segment from the calculation window width to obtain the preprocessed ECG signal or PPG signal with minimal phase-frequency distortion, and generates the first signal.

[0013] Preferably, in the comparison monitoring module, the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the absolute values ​​of the number of occurrences of each continuous heart rate deceleration force in the RR interval sequence are compared with the threshold of the corresponding standard data of the autonomic nerve. When the ratio between the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the absolute values ​​of the number of occurrences of each continuous heart rate deceleration force is greater than the threshold of the standard data, the corresponding autonomic nerve is determined to be in an excited state. When the ratio is less than the threshold of the standard data, the corresponding autonomic nerve is determined to be in an inhibited state. When the ratio is at the threshold of the standard data, the corresponding autonomic nerve is determined to be in a normal state.

[0014] Preferably, the system further includes a storage module, which is a memory. The central processing unit is electrically connected to the memory, and the storage module stores monitoring logs of the autonomic nervous system during use by the real-time monitoring system for the autonomic nervous system during surgery.

[0015] Preferably, the central processing unit is electrically connected to a display screen, which is used to display the monitoring results of the real-time autonomic nerve monitoring system during surgery, as well as the monitoring log of the autonomic nerve.

[0016] Preferably, the second preprocessing module performs power frequency interference removal preprocessing on the segment of ECG or photoplethysmography (PPG) signal data intercepted from the calculation window width to obtain a preprocessed ECG signal or PPG signal with minimal phase frequency distortion, thereby generating the first signal.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] In this invention, the raw signals of the patient's electrocardiogram or photoplethysmography pulse wave in the vascular bed on the body surface are acquired by the signal acquisition module during surgery. After preprocessing to obtain the first signal, the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the absolute values ​​of the number of occurrences of each continuous heart rate deceleration force in the RR interval sequence are compared with the threshold of the corresponding standard data of the autonomic nerve. This monitors the corresponding autonomic nerve state of the patient during surgery, thereby enabling effective data processing and improving the accuracy of the monitoring process. Attached Figure Description

[0019] Figure 1 This is a logic block diagram of the present invention.

[0020] In the diagram: 1. Central Processing Unit; 2. Signal Acquisition Module; 3. Data Processing Module; 4. Identification Module; 5. Comparison Monitoring Module; 6. Preprocessing Module; 7. First Preprocessing Module; 8. Second Preprocessing Module; 9. Storage Module. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] In the description of this invention, it should be noted that the terms "upper," "lower," "inner," "outer," "top / bottom," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0023] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "sleeved / connected," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0024] Example:

[0025] Please see Figure 1 The present invention provides a technical solution: a real-time monitoring system for autonomic nerves during surgery, comprising a central processing unit 1, a signal acquisition module 2, a preprocessing module 6, a data processing module 3, an identification module 4, and a comparison monitoring module 5, wherein the central processing unit 1 is electrically connected to the signal acquisition module 2, the preprocessing module 6, the data processing module 3, the identification module 4, and the comparison monitoring module 5;

[0026] Signal acquisition module 2 is used to acquire the original signals of the patient's electrocardiogram or photoplethysmography pulse wave from the vascular bed on the body surface during surgery. The vascular bed is composed of microarteries, microvenous vessels, capillaries, etc. Due to their dense distribution, they form a thin film-like substance that is responsible for the absorption and metabolism of nutrients in blood and tissues and the excretion of metabolic waste, regulating blood volume, and maintaining stable blood pressure.

[0027] Preprocessing module 6 is used to receive the raw signals of the patient's electrocardiogram or photoplethysmography pulse wave acquired by signal acquisition module 2 during surgery and preprocess them to obtain the first signal;

[0028] The data processing module 3 is used to identify the R wave in the first signal, extract the RR interval sequence based on each R wave, and determine the absolute value of the number of occurrences of each continuous heart rate acceleration force and the absolute value of the number of occurrences of each continuous heart rate deceleration force in the interval sequence based on the RR interval sequence.

[0029] The recognition module 4 stores standard data of the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the number of occurrences of each continuous heart rate deceleration force in the normal RR interval sequence of the corresponding autonomic nerve in the human body. The standard data will have different parameters depending on the height, gender, age, etc. of the human body. By extracting and recognizing the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the number of occurrences of each continuous heart rate deceleration force obtained from the data processing module 3, the corresponding autonomic nerve acquired by the signal acquisition module 2 is identified, and the standard data of the corresponding autonomic nerve is retrieved from the recognition module 4.

[0030] The comparison monitoring module 5 is used to monitor and judge the autonomic nervous system. It compares the absolute values ​​of the number of times each continuous heart rate acceleration force and the absolute values ​​of the number of times each continuous heart rate deceleration force occurs in the RR interval sequence with the threshold of the corresponding standard data of the autonomic nervous system. Before comparison, appropriate comparison standard data parameters are selected. The standard data parameters are selected according to the patient's height, gender and age during the operation to monitor the corresponding autonomic nervous system status of the patient during the operation.

[0031] The preprocessing module 6 includes a first preprocessing module 7 and a second preprocessing module 8. The first preprocessing module 7 is used to receive the original ECG or photoplethysmography (PPG) signals of the patient during surgery acquired by the signal acquisition module 2, and to extract a data segment with a time length of 10-30 seconds as the calculation window width. The second preprocessing module 8 preprocesses the extracted ECG or PPG signal data segment from the calculation window width to obtain the preprocessed ECG or PPG signal with the minimum phase-frequency distortion, and generates the first signal.

[0032] In the comparison monitoring module 5, the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the absolute values ​​of the number of occurrences of each continuous heart rate deceleration force in the RR interval sequence are compared with the threshold of the corresponding standard data of the autonomic nerve. When the ratio between the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the absolute values ​​of the number of occurrences of each continuous heart rate deceleration force is greater than the threshold of the standard data, the corresponding autonomic nerve is judged to be in an excited state. When the ratio is less than the threshold of the standard data, the corresponding autonomic nerve is judged to be in an inhibited state. When the ratio is at the threshold of the standard data, the corresponding autonomic nerve is judged to be in a normal state.

[0033] The system is electrically connected to an alarm module. When the comparison monitoring module 5 detects that the autonomic nerve data is in an abnormal state, the alarm module will issue an alarm to remind medical staff. The alarm module is an alarm light.

[0034] The system also includes a storage module 9, which is a memory. The central processing unit 1 is electrically connected to the memory. The storage module 9 stores the monitoring logs of the autonomic nervous system during the use of the real-time monitoring system for the autonomic nervous system during surgery.

[0035] The central processing unit 1 is electrically connected to a display screen, which is used to display the monitoring results of the real-time autonomic nerve monitoring system during surgery, as well as the monitoring log of the autonomic nerve, for easy viewing by medical staff.

[0036] The second preprocessing module 8 performs power frequency interference removal preprocessing on the segment of ECG or photoplethysmography (PPG) signal data intercepted from the calculation window width to obtain the preprocessed ECG or PPG signal with minimal phase frequency distortion, thereby generating the first signal.

[0037] Working principle: The signal acquisition module 2 acquires the raw signals of the patient's electrocardiogram or photoplethysmography pulse wave during surgery. After preprocessing to obtain the first signal, the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the absolute values ​​of the number of occurrences of each continuous heart rate deceleration force in the RR interval sequence are compared with the threshold of the corresponding standard data of the autonomic nerve. This monitors the corresponding autonomic nerve state of the patient during surgery, thereby enabling effective data processing and improving the accuracy of the monitoring process.

[0038] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or basic characteristics. Therefore, the embodiments should be considered exemplary and non-limiting in all respects. The scope of the invention is defined by the appended claims rather than the foregoing description. Therefore, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention, and no reference numerals in the claims should be construed as limiting the scope of the claims.

[0039] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A real-time monitoring system for autonomic nervous system during surgery, comprising a central processing unit (1), a signal acquisition module (2), a preprocessing module (6), a data processing module (3), an identification module (4), and a comparison monitoring module (5), characterized in that: The central processing unit (1) is electrically connected to a signal acquisition module (2), a preprocessing module (6), a data processing module (3), an identification module (4), and a comparison monitoring module (5); The signal acquisition module (2) is used to acquire the original signals of the patient's electrocardiogram or the photoplethysmography pulse wave of the body surface vascular bed during surgery; The preprocessing module (6) is used to receive the original signal of the patient's electrocardiogram or the photoplethysmography pulse wave of the body surface vascular bed acquired by the signal acquisition module (2) during the operation and preprocess it to obtain the first signal; The data processing module (3) is used to identify the R wave in the first signal, extract the RR interval sequence based on each R wave, and determine the absolute value of the number of times each continuous heart rate acceleration force appears and the absolute value of the number of times each continuous heart rate deceleration force appears in the interval sequence based on the RR interval sequence. The identification module (4) stores the absolute values ​​of the number of times each continuous heart rate acceleration force and the number of times each continuous heart rate deceleration force occurs in the normal RR interval sequence of the corresponding autonomic nerve of the human body. By extracting and identifying the absolute values ​​of the number of times each continuous heart rate acceleration force and the number of times each continuous heart rate deceleration force occurs obtained from the data processing module (3), the corresponding autonomic nerve collected by the signal acquisition module (2) is identified, and the standard data of the corresponding autonomic nerve is retrieved from the identification module (4). The comparison monitoring module (5) is used to monitor and judge the autonomic nerves. It compares the absolute values ​​of the number of times each continuous heart rate acceleration force and the absolute values ​​of the number of times each continuous heart rate deceleration force occurs in the RR interval sequence with the threshold of the corresponding standard data of the autonomic nerves to monitor the corresponding autonomic nerve status of the patient during surgery.

2. The real-time monitoring system for autonomic nervous system during surgery according to claim 1, characterized in that: The preprocessing module (6) includes a first preprocessing module (7) and a second preprocessing module (8); the first preprocessing module (7) is used to receive the original signal of the patient's electrocardiogram or the photoplethysmography pulse wave of the body surface vascular bed acquired by the signal acquisition module (2) during the operation, and to extract a data segment with a time length of 10-30 seconds as the calculation window width; The second preprocessing module (8) preprocesses the segment of ECG or photoplethysmography (PPG) signal data extracted from the calculation window width to obtain the preprocessed ECG or PPG signal with the least phase-frequency distortion, and generates the first signal.

3. The real-time monitoring system for autonomic nervous system during surgery according to claim 1, characterized in that: In the comparison monitoring module (5), the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the absolute values ​​of the number of occurrences of each continuous heart rate deceleration force in the RR interval sequence of the detected autonomic nerve are compared with the threshold of the standard data of the corresponding autonomic nerve. When the ratio between the absolute values ​​of the number of occurrences of each continuous heart rate acceleration force and the absolute values ​​of the number of occurrences of each continuous heart rate deceleration force is greater than the threshold of the standard data, the corresponding autonomic nerve is judged to be in an excited state. When the ratio is less than the threshold of the standard data, the corresponding autonomic nerve is judged to be in an inhibited state. When the ratio is at the threshold of the standard data, the corresponding autonomic nerve is judged to be in a normal state.

4. The real-time monitoring system for autonomic nervous system during surgery according to claim 1, characterized in that: The system also includes a storage module (9), which is a memory. The central processing unit (1) is electrically connected to the memory. The storage module (9) stores the monitoring logs of the autonomic nervous system during the use of the real-time monitoring system for the autonomic nervous system during surgery.

5. The real-time monitoring system for autonomic nerves during surgery according to claim 4, characterized in that: The central processing unit (1) is electrically connected to a display screen, which is used to display the monitoring results of the real-time monitoring system for the autonomic nervous system during surgery, as well as the monitoring log of the autonomic nervous system.

6. The real-time monitoring system for autonomic nervous system during surgery according to claim 2, characterized in that: The second preprocessing module (8) performs power frequency interference removal preprocessing on the segment of ECG or photoplethysmography pulse wave signal data intercepted in the calculation window width to obtain the preprocessed ECG or photoplethysmography pulse wave signal with minimal phase frequency distortion, and generates the first signal.

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