Heydari Fatemeh, Ebrahim Malikeh P, Yuce Mehmet R
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4398-4401. doi: 10.1109/EMBC44109.2020.9176348.
Pulse wave and respiration are two important vital signals in diagnosing and treating diseases. In this paper, we investigated a Bio-impedance (BImp) based respiration and pulse wave monitoring system. The BImp signal is successfully extracted from a wearable device placed on the shoulder. Using the rate calculation algorithm, heart rate (HR), and respiration rate (RR) values are extracted accurately. The data is collected during different steps of breathing including slow, fast, deep, hold, and normal from 10 volunteers. The accuracy of HR results is compared to that of extracted from PPG with considering ECG based HR as reference. The extracted RR values are investigated against TCo sensor's output. The estimation of both RR and HR extracted from the BImp signal has higher accuracy compared to the other methods.
脉搏波和呼吸是疾病诊断和治疗中的两个重要生命体征。在本文中，我们研究了一种基于生物阻抗（BImp）的呼吸和脉搏波监测系统。BImp信号成功地从放置在肩部的可穿戴设备中提取出来。使用速率计算算法，可以准确提取心率（HR）和呼吸率（RR）值。从10名志愿者在包括缓慢、快速、深度、屏气和正常呼吸的不同呼吸阶段收集数据。将HR结果的准确性与从PPG提取的结果进行比较，并将基于心电图的HR作为参考。将提取的RR值与TCo传感器的输出进行对比研究。与其他方法相比，从BImp信号中提取的RR和HR估计具有更高的准确性。
