运动员HRV监测的心率压缩缩短时间方法

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI:10.1109/HIC.2017.8227607

Sajad Darabi, B. Moatamed, Wenhao Huang, Migyeong Gwak, Casey J. Metoyer, Mike Linn, M. Sarrafzadeh

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引用次数: 1

摘要

心率变异性(HRV)是一种从心率信号中提取的特征，通常用于监测运动员的训练负荷和健康状况。各种传感器可用于确定运动员体内的HRV;本研究考虑了其中两种，即PPG和ECG。我们提出了利用PPG收集和计算HRV的方法，将HRV收集时间减少了50%，并将信号压缩了6倍，从而实现了有效的现场数据收集。

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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Heart rate compression & time reduction method for HRV monitoring in athletes

Heart rate variability (HRV), a feature extracted from the heart rate signal, is commonly used for monitoring training loads, and fitness status within athletes. Various sensors can be used to ascertain HRV within athletes; two of which are considered within this investigation, namely PPG and ECG. We present methods for HRV collection and calculation using PPG, reducing HRV collection time requirement by 50%, and compressing signals by an order of 6x for effective field-based data collection.

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2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)

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