Pilot Study on Electrocardiogram Derived Respiratory Rate Using a Wearable Armband

J. Lázaro, R. Bailón, E. Gil, Yeonsik Noh, P. Laguna, K. Chon
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引用次数: 9

Abstract

A pilot study on deriving respiratory rate from electrocardiogram (ECG) signals recorded by a self-developed wearable armband is presented. The armband includes a pair of dry electrodes which record ECG and it is designed for long-term monitoring. Armband-ECG and plethysmography-respiration signals were simultaneously recorded from 5 subjects (3 male) while paced breathing at constant rates from 0.1 to 0.4 Hz (with an increment of 0.1 Hz). Respiratory rate was estimated from the armband-ECG by using a method based on the variations in QRS slopes and R-wave angle. The estimations were compared to those obtained from the respiration signal. Obtained median and interquartile ranges of the relative error were lower than 4% for every requested respiratory rate. This suggests that normal ranges of spontaneous respiratory rate could be estimated from the wearable armband, allowing us to consider it for long-term wearable cardio and/or respiratory monitoring.
基于可穿戴臂带的心电图呼吸率的初步研究
介绍了一种基于自主研发的可穿戴臂带记录的心电图信号提取呼吸频率的初步研究。臂带包括一对干电极记录心电图,它是为长期监测而设计的。同时记录5名受试者(3名男性)在0.1 ~ 0.4 Hz恒定速率(增量0.1 Hz)呼吸时的臂带心电图和体积描记仪呼吸信号。采用基于QRS斜率和r波角变化的方法从臂带心电图估计呼吸频率。将这些估计值与呼吸信号的估计值进行比较。对于每个要求的呼吸频率,获得的相对误差的中位数和四分位数范围均低于4%。这表明可以从可穿戴臂带中估计正常的自主呼吸频率范围,使我们能够考虑将其用于长期可穿戴的心脏和/或呼吸监测。
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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