This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (975) Novel Sensors and Data Acquisition Methods in Cardiology (211) mHealth for Data Collection and Research (1061) mHealth in a Clinical Setting (661)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25415, first published .
Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation Study

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

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

Authors of this article:

Haoran Xu1 Author Orcid Image ;   Wei Yan2 Author Orcid Image ;   Ke Lan3 Author Orcid Image ;   Chenbin Ma4 Author Orcid Image ;   Di Wu3 Author Orcid Image ;   Anshuo Wu5 Author Orcid Image ;   Zhicheng Yang6 Author Orcid Image ;   Jiachen Wang1 Author Orcid Image ;   Yaning Zang7 Author Orcid Image ;   Muyang Yan2 Author Orcid Image ;   Zhengbo Zhang8 Author Orcid Image
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