基于心跳和加速度计数据的光谱融合在可穿戴贴片呼吸率估计中的应用。
Spectral Fusion of Heartbeat and Accelerometer Data for Estimation of Breathing Rate in Wearable Patches.
机构信息
Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Department of Epileptology, Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany.
出版信息
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。
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