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

Wearable Devices and Sensors (889) Novel Sensors and Data Acquisition Methods in Cardiology (196) mHealth for Data Collection and Research (955) mHealth in a Clinical Setting (615)

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
Article Authors Cited by (11) Tweetations (2) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually