Vital sign detection system and method

Abstract

The invention relates to a vital sign detection system and method. The vital sign detection system comprises a non-contact data acquisition module, and the non-contact data acquisition module comprises a piezoelectric film life sensor module, an amplifier module and an HRV module; the piezoelectric film life sensor module is configured to sense vibration sound waves of various organs from the pleuroperitoneal cavity of a human body, the vibration sound waves of different organs enable a film sensor to deform, and various different deformation signals are automatically converted into electric signals; the amplifier module is configured to amplify the electric signals collected by the piezoelectric film life sensor module; and the HRV module is configured to analyze and process the amplified signal obtained from the amplifier module to present breathing, heartbeat and body movement conditions. The non-contact space conduction technology is adopted to directly output digital signals, skin attachment is not needed, object separation detection can be achieved, the application scene is large, the detection precision reaches the medical level of 93% or above, power consumption is small, and 1300 times of signals are detected every 5 seconds.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a vital sign detection system and method. Background Art

[0002] Existing wearable vital sign monitoring systems on the market use lasers to detect skin vibrations, converting them into analog electrical signals that are then analyzed using algorithms to draw conclusions. However, these systems lack direct digital signal output and require the laser tip to be held close to the skin for detection, limiting their application scenarios. They primarily detect heartbeats, not heart rate or electrocardiograms, and have a consumer-grade accuracy of only 45%-65%, making them unsuitable for use in medical settings. Furthermore, due to their high power consumption, most manufacturers transmit a detection signal every five seconds, which can easily lead to missed important signals. Summary of the Invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a vital sign detection system and method to solve the deficiencies of the prior art.

[0004] The object of the present invention is achieved through the following technical solutions: A vital signs detection system, which includes a non-contact data acquisition module, wherein the non-contact data acquisition module includes a piezoelectric film life sensor module, an amplifier module, and an HRV module;

[0005] The piezoelectric film life sensor module is configured to sense vibration sound waves from various organs in the human chest and abdominal cavity. The vibration sound waves of different organs cause the film sensor to deform, and the various deformation signals are automatically converted into electrical signals.

[0006] The amplifier module is configured to amplify the electrical signal collected by the piezoelectric film life sensor module;

[0007] The HRV module is configured to analyze and process the amplified signal obtained from the amplifier module to present the breathing, heartbeat and body movement conditions.

[0008] The system further comprises a back-end display module, which receives data information sent by the HRV module and forms an intuitive data curve display.

[0009] A method for detecting vital signs, comprising:

[0010] S1. The piezoelectric film life sensor module senses the vibration sound waves from various organs in the human chest and abdominal cavity in real time. The vibration sound waves of different organs cause the film sensor to deform, and various deformation signals are automatically converted into electrical signals.

[0011] S2, the amplifier module amplifies the electrical signal collected by the piezoelectric film life sensor module;

[0012] S3. The HRV module analyzes and processes the amplified signal obtained from the amplifier module to present the breathing, heartbeat and body movement conditions.

[0013] The back-end display module receives the data information sent by the HRV module and forms an intuitive data curve display.

[0014] The analysis of the HRV module includes time domain analysis and frequency domain analysis;

[0015] The time domain analysis includes: calculating statistical features of heartbeat intervals for long-term monitoring;

[0016] The frequency domain analysis includes: decomposing the signal frequency band by Fourier transform or wavelet to reveal the real-time regulation of the autonomic nervous system.

[0017] The present invention has the following advantages: a vital sign detection system and method, which uses non-contact spatial conduction technology to directly output digital signals, does not need to be close to the skin, can detect through objects (clothing, hats, shoe insoles, hair, glasses, etc.), has a wide range of application scenarios, and the detection accuracy reaches medical levels of more than 93%. It consumes little power and can detect 1,300 signals every 5 seconds. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Therefore, the detailed description of the embodiments below in conjunction with the present application is not intended to limit the scope of protection of the application for which protection is claimed, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application.

[0019] The present invention specifically relates to a vital signs detection system that detects signals 1,300 times every 5 seconds with high accuracy, reaching medical-grade accuracy exceeding 93%. It also consumes very little power and can be used continuously. The system includes a piezoelectric film vital sign sensor module, an amplifier module, an HRV module, and an app.

[0020] Among them, the piezoelectric film life sensor module is configured to sense the vibration sound waves from various organs in the human chest and abdominal cavity. The vibration sound waves of different organs cause the film sensor to deform, and the various deformation signals are automatically converted into electrical signals;

[0021] Furthermore, the piezoelectric film life sensor module includes a high-precision ceramic pressure BCG heart pulse scanning sensor. BCG technology is based on the impact force (i.e., cardiac shock wave) generated by blood flow during cardiac contraction and relaxation. The high-precision ceramic pressure BCG heart pulse scanning sensor captures these mechanical vibration signals and converts them into electrical signals. This is an indirect contact cardiac shock scanning solution. By integrating the sensor into everyday objects such as mattresses and chairs, it can monitor heart rate, pumping efficiency, respiratory rate, and other indicators in real time without direct contact with the human body.

[0022] Furthermore, the high-precision ceramic pressure BCG heart pulse scanning sensor includes: a piezoelectric element (PZT ceramic), an electrode layer, a packaging structure, and a signal conditioning circuit; the electrode layer is plated with metal electrodes (such as silver and gold) on both sides of the piezoelectric material; the packaging structure is used to protect the material from environmental interference and transmit mechanical force (such as metal surgery and elastic membrane); the signal conditioning circuit is used to convert the high-impedance charge signal into a low-impedance voltage signal. The specific process is as follows:

[0023] When an external force (pressure, vibration, sound waves, etc.) acts on the sensor surface, the piezoelectric material generates an electric charge due to deformation. The amount of charge is proportional to the magnitude of the force. The electrodes collect the charge and convert it into a voltage signal through the circuit (for example, a charge amplifier converts the charge Q into a voltage V = Q / CV = Q / C, where C is the feedback capacitor).

[0024] Amplifier module: configured to amplify the electrical signal collected by the piezoelectric film life sensor module;

[0025] HRV module: configured to analyze and process the amplified signals obtained from the amplifier module to present the breathing, heartbeat and body movement conditions.

[0026] Among them, HRV (heart rate variability) psychological and physiological variability analysis technology is a multi-dimensional technology that assesses the functional state of the autonomic nervous system (ANS) by measuring tiny changes in the heartbeat interval (usually in milliseconds). It combines physiological, psychological, and algorithmic analysis to reveal an individual's comprehensive state in terms of psychological stress, emotional regulation, cardiovascular health, etc.

[0027] The APP receives data information sent by the HRV module and displays an intuitive data curve.

[0028] Furthermore, the analysis of the HRV module includes time domain analysis and frequency domain analysis; time domain analysis: calculates the statistical characteristics of the heartbeat interval (such as SDNN, RMSSD), which is suitable for long-term monitoring; frequency domain analysis: decomposes the signal frequency band through Fourier transform or wavelet analysis to reveal the real-time regulation of the autonomic nervous system, dynamic and multi-period monitoring.

[0029] Among them, in the time domain analysis, the sinoatrial node spontaneously generates electrical signals, triggering atrial contraction. The signal is transmitted to the ventricles after a delay through the atrioventricular node, ensuring the coordination of atrial contraction first and ventricular contraction later. The sensor receives an average of 260 ECG pulse signals per second during the heart's pumping process, and calculates the time and intensity of blood flowing through various parts of the heart tissue, and uses this to calculate accurate heart rate change data and curves.

[0030] In frequency domain analysis, the autonomic nervous system (ANS) regulates visceral activity through the sympathetic nerves (excitatory) and parasympathetic nerves (inhibitory). Its activity is reflected in the frequency characteristics of physiological signals:

[0031] High-frequency components (HF: 0.15Hz-0.4Hz): reflect parasympathetic (vagus nerve) activity, such as the regulation of heart rate by the respiratory cycle (respiratory sinus arrhythmia).

[0032] Low-frequency components (LF: 0.04Hz-0.15Hz): related to the combined effects of sympathetic and parasympathetic nerves, and may reflect blood pressure regulation (such as vasoconstriction fluctuations).

[0033] Very low frequency components (VLF: less than 0.04 Hz): related to long-term physiological rhythms such as body temperature regulation and hormone cycles.

[0034] The Fourier transform converts a time-domain signal (such as heart rate changes over time) into a frequency-domain signal, decomposing it into sinusoidal waves of varying frequencies and displaying the energy distribution of each frequency component. This can be used to analyze steady-state signals (such as heart rate variability during prolonged resting conditions) and determine the overall balance of sympathetic and parasympathetic nervous system activity (e.g., calculating the LF / HF ratio).

[0035] By decomposing the signal using wavelet basis functions at different scales, it provides local information on both time and frequency, making it suitable for analyzing stationary signals. For example, it can capture dynamic changes in autonomic nervous system activity (such as sympathetic nerve activation caused by sudden stimulation) and track instantaneous fluctuations in specific frequency bands (such as HF components) in real time, reflecting the rapid regulation of the parasympathetic nervous system.

[0036] The present invention provides overall frequency domain characteristics through Fourier transform, which is suitable for evaluating the long-term homeostasis of the autonomic nervous system (such as chronic stress and circadian rhythm); and reveals the instantaneous regulation of the autonomic nervous system (such as stress response and apnea events) through wavelet decomposition, which is closer to real-time analysis needs.

[0037] Heart rate variability (HRV) analysis: LF / HF ratio was calculated by Fourier transform to assess sympathetic-parasympathetic balance; wavelet decomposition was used to track the real-time effect of anesthesia depth on the autonomic nervous system during surgery.

[0038] Blood pressure fluctuation research: Analyze the time-varying characteristics of low-frequency oscillations (LF) and study sympathetic nerve overactivation in patients with hypertension.

[0039] Brain-heart interaction research: Combining wavelet analysis of EEG (electroencephalogram) and ECG (electrocardiogram) signals to explore the regulatory mechanism of the central nervous system on the autonomic nervous system.

[0040] The foregoing description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein and should not be construed as excluding other embodiments. Rather, the present invention is capable of various other combinations, modifications, and improvements, and is capable of modifications within the scope of the concepts described herein, through the above teachings, or through techniques or knowledge in the relevant fields. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention are intended to be within the scope of the appended claims.

Claims

1. A vital sign detection system, characterized in that: It includes a non-contact data acquisition module, which includes a piezoelectric film life sensor module, an amplifier module, and an HRV module; The piezoelectric film life sensor module is configured to sense vibration sound waves from various organs in the human chest and abdominal cavity. The vibration sound waves of different organs cause the film sensor to deform, and the various deformation signals are automatically converted into electrical signals. The amplifier module is configured to amplify the electrical signal collected by the piezoelectric film life sensor module; The HRV module is configured to analyze and process the amplified signal obtained from the amplifier module to present the breathing, heartbeat and body movement conditions.

2. A vital sign detection system according to claim 1, characterized in that: The system further comprises a back-end display module, which receives data information sent by the HRV module and forms an intuitive data curve display.

3. A method for detecting vital signs, characterized in that: The method comprises: S1. The piezoelectric film life sensor module senses the vibration sound waves from various organs in the human chest and abdominal cavity in real time. The vibration sound waves of different organs cause the film sensor to deform, and various deformation signals are automatically converted into electrical signals. S2, the amplifier module amplifies the electrical signal collected by the piezoelectric film life sensor module; S3. The HRV module analyzes and processes the amplified signal obtained from the amplifier module to present the breathing, heartbeat and body movement conditions.

4. A vital sign detection method according to claim 3, characterized in that: The method further includes: a back-end display module receiving data information sent by the HRV module to form an intuitive data curve display.