Sel Kaan, Brown Alexander, Jang Hongwoo, Krumholz Harlan M, Lu Nanshu, Jafari Roozbeh
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3989-3993. doi: 10.1109/EMBC44109.2020.9176367.
In the US alone, 22 million individuals suffer from obstructive sleep apnea (OSA), with 80% of the cases symptoms undiagnosed. Hence, there is an unmet need to continuously and unobtrusively monitor respiration and detect possible occurrences of apnea. Recent advancements in wearable biomedical technology can enable the capture of the periodicity of the heart pressure pulse from a wrist-worn device. In this paper, we propose a bio-impedance (Bio-Z)-based respiration monitoring system. We establish close contact with the skin using gold e-tattoos with a 35 mm by 5 mm active sensing area. We extracted the respiration from the wrist Bio-Z signal leveraging three different techniques and showed that we can detect the start of each respiration beat with an average root mean square error (RMSE) less than 13% and mean error of 0.3% over five subjects.
仅在美国，就有2200万人患有阻塞性睡眠呼吸暂停（OSA），其中80%的病例症状未被诊断出来。因此，迫切需要持续且不引人注意地监测呼吸并检测可能发生的呼吸暂停。可穿戴生物医学技术的最新进展能够从腕戴设备捕获心脏压力脉搏的周期性。在本文中，我们提出了一种基于生物阻抗（Bio-Z）的呼吸监测系统。我们使用具有35毫米乘5毫米有源传感区域的金质电子纹身与皮肤建立紧密接触。我们利用三种不同技术从手腕Bio-Z信号中提取呼吸信号，并表明在五名受试者中，我们能够检测到每个呼吸搏动的起始，平均均方根误差（RMSE）小于13%，平均误差为0.3%。
