Intelligent steering wheel with electrocardiogram detection function and analysis method

Abstract

The invention discloses an intelligent steering wheel with electrocardio detection and an analysis method, solves the problem of how to improve the monitoring effect accuracy of a driving monitoring device, and belongs to the field of automobiles. The steering wheel comprises a steering wheel body, an electrocardio acquisition circuit, a processor and a display module, the electrocardio acquisition circuit is arranged on the steering wheel body and is used for detecting an electrocardio signal through a hand holding the steering wheel; the processor processes the electrocardiosignals to obtain heart rate and arrhythmia conditions; the display module is used for displaying the obtained heart rate, respiration rate and arrhythmia condition. The analysis method comprises the following steps: filtering collected electrocardiosignals to remove baseline drift and noise interference in the electrocardiosignals; detecting a QRS wave group in the filtered electrocardiosignal; according to the detected QRS wave group, P-wave, RR interval and R-wave characteristics of the electrocardiosignals are obtained, the central rate variability and the joint law phenomenon of the electrocardiosignals are analyzed, and the heart rate, the respiration rate and the arrhythmia condition of the driver are obtained.

Description

Technical Field

[0001] The invention relates to an intelligent steering wheel with electrocardiogram detection and an analysis method, belonging to the automobile field. Background Art

[0002] With the rapid development of automotive electronics and the increasing demand for automotive safety and intelligent driving, the detection and warning of fatigue driving have important practical significance. At present, there are methods based on image detection, such as detecting blinking and steering wheel rotation, such as PERCLOS. Eye movement and blink duty cycle can be used as indicators for detecting fatigue, and the detection of automotive parts such as steering wheels and brakes can reflect the behavioral characteristics of drivers. At present, fatigue driving detection based on image processing has been widely used.

[0003] The method of monitoring the driver's status through image recognition and processing can only monitor the driver's driving status, but cannot detect the driver's heart health status. If the driver has heart abnormalities or is in a dangerous driving state, the current monitoring device cannot make corresponding prompts. Summary of the invention

[0004] In order to solve the problem of how to improve the monitoring accuracy of a driving monitoring device, the present invention provides an intelligent steering wheel with electrocardiogram detection and an analysis method.

[0005] The present invention provides an intelligent steering wheel with ECG detection, comprising a steering wheel body, an ECG acquisition circuit, a processor and a display module;

[0006] The ECG acquisition circuit is arranged on the steering wheel body, and is used to detect ECG signals through the hand holding the steering wheel, and send the acquired ECG signals to the processor;

[0007] The processor processes the ECG signal to obtain the heart rate and arrhythmia, and sends the heart rate, respiratory rate and arrhythmia to the display module of the car;

[0008] The display module displays the received heart rate, respiratory rate and arrhythmia conditions.

[0009] Preferably, the ECG acquisition circuit is implemented using the ADS1292 chip from TI Semiconductor.

[0010] Preferably, the processor is implemented using the AT32 microcontroller from Arteli Semiconductor.

[0011] Preferably, the device of the present invention further comprises an input module connected to the processor for setting parameters and inputting operation instructions.

[0012] Preferably, the processor communicates via the vehicle's cellular network.

[0013] Preferably, the processor is connected to the driver's mobile phone to send the heart rate, respiratory rate and arrhythmia status to the driver's mobile phone for display.

[0014] The analysis method of the smart steering wheel with electrocardiogram detection of the present invention comprises:

[0015] S1, filtering the collected ECG signal to remove the baseline drift and noise interference in the ECG signal;

[0016] S2, detecting the QRS complex in the filtered ECG signal;

[0017] S3. According to the detected QRS complex, the P wave, RR interval and R wave characteristics of the ECG signal are obtained, and the heart rate variability and coupling phenomenon in the ECG signal are analyzed to obtain the driver's heart rate, respiratory rate and arrhythmia.

[0018] The beneficial effects of the present invention are that the smart steering wheel of the present invention can monitor the driver's ECG signals in real time through the integrated ECG acquisition circuit, processor and analysis method. After processing, these signals can be converted into an intuitive assessment of the driver's physical condition, including key vital sign parameters such as heart rate, heart rhythm, and respiratory rate. When the driver has abnormal conditions such as arrhythmia, premature beats, and atrial fibrillation, the system can quickly issue an early warning to remind the driver to take timely measures to avoid potential health risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Schematic diagram of the circuit of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0022] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0023] The smart steering wheel with ECG detection of this embodiment includes a steering wheel body, an ECG acquisition circuit, a processor and a display module;

[0024] The ECG acquisition circuit is arranged on the steering wheel body, and is used to detect ECG signals through the hand holding the steering wheel, and send the acquired ECG signals to the processor;

[0025] The processor processes the ECG signal to obtain the heart rate and arrhythmia, and sends the heart rate, respiratory rate and arrhythmia to the display module of the car;

[0026] The display module displays the received heart rate, respiratory rate and arrhythmia conditions.

[0027] The ECG acquisition circuit of this embodiment is implemented using the ADS1292 chip of TI Semiconductor. This chip supports dual-lead ECG detection and has the advantages of high precision, low noise and low power consumption. Through this chip, the driver's ECG signal can be accurately collected and converted. The ADS1292 chip performs preliminary filtering and amplification processing on the collected ECG signal, and then transmits the processed ECG signal to the processor.

[0028] The processor of this embodiment is implemented by the AT32 single-chip microcomputer of Arteli Semiconductor. This chip is a 32-bit low-power high-performance single-chip microcomputer with rich peripheral interfaces and powerful data processing capabilities. Through this chip, functions such as processing, storage and transmission of ECG signals can be realized. In the AT32 single-chip microcomputer, the above-mentioned ECG algorithm process is implemented. By filtering the ECG signal to remove the baseline, QRS wave detection, atrial fibrillation analysis, HRV analysis, R wave classification and coupling type analysis, key vital sign parameters such as the driver's heart rate and heart rhythm can be extracted.

[0029] The smart steering wheel of this embodiment can also be equipped with external devices such as a display module and an input module.

[0030] The input module can be implemented by buttons, and the display module can be the display module of the car or a separate display module can be set to facilitate the driver to view the monitoring data and perform operations. The display module is used to display key information such as ECG waveforms and heart rate; the buttons are used to set parameters and input operation instructions, including start / stop monitoring and other operations.

[0031] The smart steering wheel connects to the car's own cellular network to achieve real-time communication with the car manufacturer. This function can not only upload the driver's ECG monitoring data to the cloud server for storage and analysis in real time, but also receive remote instructions and update information from the car manufacturer. At the same time, the driver can also view his or her health monitoring report and personalized service content through the car computer or mobile phone, realizing the convenience and intelligence of health management.

[0032] The analysis method of the smart steering wheel with ECG detection in this embodiment includes:

[0033] Step 1: Filter the collected ECG signal to remove the baseline drift and noise interference in the ECG signal and improve the signal-to-noise ratio of the signal;

[0034] Step 2: Detect the QRS wave group in the filtered ECG signal, which is the most significant characteristic wave group in the ECG signal and is of great significance for the diagnosis of diseases such as arrhythmia;

[0035] Step 3: According to the detected QRS complex, the P wave, RR interval and R wave characteristics of the ECG signal are obtained, and the heart rate variability and coupling phenomenon in the ECG signal are analyzed to obtain the driver's heart rate, respiratory rate and arrhythmia:

[0036] Based on the characteristics of P wave and RR interval, determine whether the driver has atrial fibrillation;

[0037] Analyze heart rate variability (HRV) to assess the driver's autonomic nervous system function status;

[0038] Classify the R waves in the ECG signal to identify different types of arrhythmias;

[0039] Analyze the coupling phenomena in the ECG signals, such as paired premature beats and tripeminy, to further evaluate the driver's heart health.

[0040] From the perspective of monitoring content, smart steering wheels based on health monitoring have broad application prospects. Through electrocardiogram and skin electricity analysis, the system can realize real-time monitoring of the driver's vital signs parameters and physical condition. These parameters include but are not limited to real-time heart rate / respiratory rate, real-time acquisition of ECG signals, body fat rate / body water rate, two-handed grip detection, fatigue level, stress / anxiety index, etc. When the system detects physiological abnormalities, it will immediately give early warning reminders, such as arrhythmia reminders, premature beats / atrial fibrillation reminders, fatigue reminders, etc. These warnings are combined with the car's own safety system to provide drivers with a full range of health status warnings, effectively reducing the risk of traffic accidents caused by health problems.

[0041] In order to verify the accuracy of ECG recognition, we conducted a large number of tests on people of different ages and genders. The test results show that the ECG recognition function of the smart steering wheel maintains good accuracy in environments ranging from -3 degrees Celsius to 40 degrees Celsius and air humidity ranging from 30% to 95%. The recognized ECG waveform characteristics and results are highly consistent with the data in the standard ECG database, proving the reliability and stability of the system in practical applications.

[0042] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that features described in conjunction with individual embodiments may be used in other described embodiments.

Claims

1. Smart steering wheel with ECG detection, characterized in that: It includes a steering wheel body, an ECG acquisition circuit, a processor and a display module; The ECG acquisition circuit is arranged on the steering wheel body, and is used to detect ECG signals through the hand holding the steering wheel, and send the acquired ECG signals to the processor; The processor processes the ECG signal to obtain the heart rate and arrhythmia status, and sends the heart rate, respiratory rate and arrhythmia status to the display module of the car; The display module displays the received heart rate, respiratory rate and arrhythmia conditions.

2. The smart steering wheel with ECG detection according to claim 1, characterized in that: The electrocardiogram acquisition circuit is implemented using the ADS1292 chip of TI Semiconductor.

3. The smart steering wheel with ECG detection according to claim 1, characterized in that: The processor is implemented using the AT32 single-chip microcomputer produced by Arteli Semiconductor.

4. The smart steering wheel with ECG detection according to claim 1, characterized in that: The device also includes an input module connected to the processor and used for setting parameters and inputting operation instructions.

5. The smart steering wheel with ECG detection according to claim 1, characterized in that: The processor communicates via the car's cellular network.

6. The smart steering wheel with ECG detection according to claim 1, characterized in that: The processor is connected to the driver's mobile phone and sends the heart rate, respiratory rate and arrhythmia status to the driver's mobile phone for display.

7. The analysis method of the smart steering wheel with ECG detection according to claim 1, characterized in that: The analysis method comprises: S1, filtering the collected ECG signal to remove the baseline drift and noise interference in the ECG signal; S2, detecting the QRS complex in the filtered ECG signal; S3. According to the detected QRS complex, the P wave, RR interval and R wave characteristics of the ECG signal are obtained, and the heart rate variability and coupling phenomenon in the ECG signal are analyzed to obtain the driver's heart rate, respiratory rate and arrhythmia.

8. A computer-readable storage device storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the analysis method according to claim 7 are implemented.

9. An analysis device, comprising a storage device, a processor, and a computer program stored in the storage device and executable on the processor, characterized in that: The processor executes the computer program to implement the steps of the analysis method according to claim 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the analysis method according to claim 7 are implemented.

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