Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder

Julia Rosemary Thorpe, Trine Saida, Jesper Mehlsen, Anne-Birgitte Mehlsen, Henning Langberg, Karsten Hoppe, Helge Bjarup Dissing Sørensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This study investigates ECG features, focusing on T-wave amplitude, from a wearable ECG device as a potential method for fitness monitoring in exercise rehabilitation. An automatic T-peak detection algorithm is presented that uses local baseline detection to overcome baseline drift without the need for preprocessing, and offers adequate performance on data recorded in noisy environments. The algorithm is applied to 24 hour data recordings from two subject groups with different physical activity histories. Results indicate that, while mean heart rate (HR) differs most significantly between the groups, T-amplitude features could be useful depending on the disparities in fitness level, and require further investigation on an individual basis.
Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
Publication date2014
Pages4172-4175
ISBN (Print)978-1-4244-7929-0
DOIs
Publication statusPublished - 2014
Event36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
Duration: 26 Aug 201430 Aug 2014
Conference number: 36
http://embc.embs.org/2014/

Conference

Conference36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number36
Country/TerritoryUnited States
CityChicago, IL
Period26/08/201430/08/2014
Internet address

Keywords

  • Bioengineering
  • Atmospheric measurements
  • Electrocardiography
  • Feature extraction
  • Heart rate
  • Particle measurements
  • Training
  • Transforms

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