Performance of wrist based electrocardiography with conventional ECG analysis algorithms

A. Casson
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引用次数: 3

Abstract

Wrist worn activity monitors are becoming increasingly popular and could be greatly enhanced by the inclusion of additional physiological monitors. This paper investigates integrating wrist based electrocardiography into such devices. Results show that when no motion is present techniques and algorithms developed for traditional chest ECG can be directly re-applied to the wrist with a valid analysis present more than 90% of the time. With motion artefacts from keyboard typing this falls to 50%, still allowing significant re-use of existing approaches.
基于手腕的心电图与传统心电分析算法的性能
佩戴在手腕上的活动监测器正变得越来越流行,并且可以通过包含额外的生理监测器而大大增强。本文研究将基于手腕的心电图整合到此类设备中。结果表明,在没有运动的情况下,为传统胸部心电图开发的技术和算法可以直接重新应用于手腕,并在90%以上的时间内进行有效分析。加上键盘输入产生的运动伪影,这一比例降至50%,仍然允许大量重用现有方法。
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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