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

Advanced Data Analytics in eHealth (142) Wearable Devices and Sensors (905) 2016 Special Iss "Optimization, Data Mining, and Statistical Management of Bio-data in Medical Industry Informatization" (2) New Technologies (82) Methods and Instruments in Medical Informatics (137)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40826, first published .
Motion Artifact Reduction in Electrocardiogram Signals Through a Redundant Denoising Independent Component Analysis Method for Wearable Health Care Monitoring Systems: Algorithm Development and Validation

Motion Artifact Reduction in Electrocardiogram Signals Through a Redundant Denoising Independent Component Analysis Method for Wearable Health Care Monitoring Systems: Algorithm Development and Validation

Motion Artifact Reduction in Electrocardiogram Signals Through a Redundant Denoising Independent Component Analysis Method for Wearable Health Care Monitoring Systems: Algorithm Development and Validation

Authors of this article:

Fabian Andres Castaño Usuga1 Author Orcid Image ;   Christian Gissel2 Author Orcid Image ;   Alher Mauricio Hernández1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Fabian Andres Castaño Usuga   1 , PhD ;   Christian Gissel   2 , PhD ;   Alher Mauricio Hernández   1 , PhD

1 Bioinstrumentation and Clinical Engineering Research Group, Bioengineering Department, Engineering Faculty, Universidad de Antioquia, Medellín, Colombia

2 Department of Health Economics, Justus Liebig University Giessen, Giessen, Germany

Corresponding Author:

  • Alher Mauricio Hernández, PhD
  • Bioinstrumentation and Clinical Engineering Research Group, Bioengineering Department, Engineering Faculty
  • Universidad de Antioquia
  • Calle 70 No. 52-21
  • Medellín, 050010
  • Colombia
  • Phone: 57 2198589
  • Email: alher.hernandez@udea.edu.co