基于体域网络的便携式心电图传感器监测系统

M. A. Rasyid, Alif Akbar Pranata, Bih-Hwang Lee, Ferry Astika Saputra, Amang Sudarsono
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引用次数: 18

摘要

目前,利用心电图(ECG)作为人类心跳状况的检测工具仍然被认为是困难的。因此,实现该传感器的思路是通过确定最佳的实现和监控方式来提高服务质量,并最大限度地降低使用和维护成本。本研究提出了一种新的方法,利用电子健康传感器的心电传感器和功能强大的小型单板计算机树莓派作为中央处理器来观察人类的心跳状况。将这些硬件设备组装起来,用于采集人体的心电电压信号。信号传输到设备中,数据存储在MySQL数据库中,便于长期监控访问。实验结果表明了该方法的有效性,成功地实现了体域网络(BAN)的思想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Portable electrocardiogram sensor monitoring system based on Body Area Network
Nowadays, the use of Electrocardiogram (ECG) as a detection tool of the condition of human heartbeat is still considered difficult. So, the idea of implementing this sensor is to enhance the quality of service and to minimize the cost of using and maintaining by determining the best way in implementing and monitoring ECG sensor. This research proposes a novel approach to observe the condition of human heartbeat using ECG sensor with e-Health sensor and Raspberry Pi, mini single-board computer with robust capability, which acts as central processing unit. Those hardware sets were assembled to collect ECG voltage signals in human body. The signals are transmitted into the device and the data are stored in MySQL database for long-term monitoring access. The experimental results show effectiveness of this approach as it is successfully fulfill the idea of Body Area Network (BAN).
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