Analysis between ECG and respiratory signal

Hsien-Wei Tseng, Yang-Han Lee, Yi-Lun Chen, Chih-Hsien Hsia
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引用次数: 1

Abstract

Nowadays, with the advanced technological development and the higher attention on health issue, many wearable devices are designed to value health care. When you wear the devices which combine with medical equipment, you do not need to go to hospitals to take physical examination in particular if you just want to check your physical conditions initially. Instead, you can take the physical examination as long as you wear devices with medical equipment. Heart is the most important organ in the human body. Life ends when heart stops beating. Thus, nowadays, the wearable devices is often build in heartbeat measurement. This study, through analyzing ECG, aims to figure out the relation between ECG and respiration. With ECG-Derived Respiration (EDR) signals, we calculated times of breathing and compared them with breathing signal from self-made breathing flow meter AT01. It is proved that the accuracy rate is up to 90% when the ECG signals are received well.
心电信号与呼吸信号的分析
如今,随着科技的发展和对健康问题的高度关注,许多可穿戴设备的设计都重视健康。当你佩戴与医疗设备相结合的设备时,你不需要去医院做身体检查,特别是如果你只是想先检查一下你的身体状况。相反,只要你戴上带有医疗设备的设备,你就可以进行身体检查。心脏是人体最重要的器官。心脏停止跳动,生命就结束了。因此,如今的可穿戴设备通常内置心跳测量。本研究通过对心电图的分析,了解心电图与呼吸的关系。利用心电图呼吸(EDR)信号计算呼吸次数,并与自制呼吸流量计AT01的呼吸信号进行比较。实验证明,在心电信号接收良好的情况下,该方法的准确率可达90%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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