Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation Study.

Haoran Xu Wei Yan Ke Lan Chenbin Ma Di Wu Anshuo Wu Zhicheng Yang Jiachen Wang Yaning Zang Muyang Yan Zhengbo Zhang

Published in: JMIR mHealth and uHealth (2021)

This study verified the feasibility of applying the anomaly detection unsupervised model to SQA. The application scenarios include reducing the false alarm rate of the device and selecting signal segments that can be used for further research.

Keyphrases

machine learning
climate change
label free
loop mediated isothermal amplification
respiratory tract