Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Department of Epileptology, Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Stud Health Technol Inform. 2023 May 18;302:1025-1026. doi: 10.3233/SHTI230336.
Despite developments in wearable devices for detecting various bio-signals, continuous measurement of breathing rate (BR) remains a challenge. This work presents an early proof of concept that employs a wearable patch to estimate BR. We propose combining techniques for calculating BR from electrocardiogram (ECG) and accelerometer (ACC) signals, while applying decision rules based on signal-to-noise (SNR) to fuse the estimates for improved accuracy.
尽管可穿戴设备在检测各种生物信号方面取得了进展，但连续测量呼吸率 (BR) 仍然是一个挑战。本工作提出了一种早期概念验证，使用可穿戴贴片来估计 BR。我们提出了一种结合心电图 (ECG) 和加速度计 (ACC) 信号计算 BR 的技术，同时应用基于信噪比 (SNR) 的决策规则来融合估计值，以提高准确性。
