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

BACKGROUND: With the development and promotion of wearable devices and their mobile health (mHealth) apps, physiological signals have become a research hotspot. However, noise is complex in signals obtained from daily lives, making it difficult to analyze the signals automatically and resulting in a...

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Detalles Bibliográficos
Autores principales: Xu, Haoran, Yan, Wei, Lan, Ke, Ma, Chenbin, Wu, Di, Wu, Anshuo, Yang, Zhicheng, Wang, Jiachen, Zang, Yaning, Yan, Muyang, Zhang, Zhengbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391746/
https://www.ncbi.nlm.nih.gov/pubmed/34387554
http://dx.doi.org/10.2196/25415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391746/
https://www.ncbi.nlm.nih.gov/pubmed/34387554
http://dx.doi.org/10.2196/25415

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