低功耗可穿戴式心电监测系统

doi:10.16180/j.cnki.issn1007-7820.2024.10.012

Abstract

Abstract:

Daily electrocardiogram monitoring is of great significance for the prevention of cardiovascular diseases. However, medical-grade electrocardiogram monitoring systems are expensive, complicated to operate, and not suitable for home-based electrocardiogram monitoring. Wearable devices often ignore the interference of noise, and the signals collected are difficult to analyze and diagnose. This study presents a low-power wearable electrocardiogram monitoring system, which consists of four parts:Power management module, electrocardiogram acquisition module, data processing module, and delay switch module. The system uses the BMD101 chip to acquire human electrocardiogram signals and sends the electrocardiogram data to a mobile device via low-power Bluetooth chip nrf52832. To address the muscle electrical interference noise that is easily introduced into the electrocardiogram signals, a denoising algorithm based on VMD (Variational Mode Decomposition) is proposed. The NLM(Non-Local Mean) filter is used to remove the noise in the low-frequency mode of the electrocardiogram signal, and the DWT(Discrete Wavelet Transform) threshold denoising algorithm is used to eliminate the high-frequency mode noise of the electrocardiogram signal. The reconstructed signal quality is significantly improved. The experimental results show that the proposed algorithm has the characteristics of low cost, easy portability and convenient use, and can obtain high quality electrocardiogramsignals, meet the needs of users for long-range monitoring, and solve the problems of inconvenient daily electrocardiogrammonitoring and low quality electrocardiogram signal acquisition.

Key words: wearable, electrocardiogram monitoring, low power consumption, electrocardiogram denoising, bluetooth, variational mode decomposition, non-local mean, discrete wavelet transform

CLC Number:

TP23

ZHANG Peng, JIANG Mingfeng, LI Yang. Low Power Consumption Wearable Electrocardiogram Monitoring System[J].Electronic Science and Technology, 2024, 37(10): 88-94.

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系统状态	电流/mA	功耗/mW	工作时长/h
蓝牙未连接	3.2	11.84	93
蓝牙连接但未发送数据	3.9	14.43	76
连接蓝牙并发送数据	5.5	20.35	54

Low Power Consumption Wearable Electrocardiogram Monitoring System

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