Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder
Research output: Contribution to journal › Journal article › Research › peer-review
Julia Rosemary Thorpe, Trine Saida, Jesper Mehlsen, Anne-Birgitte Mehlsen, Henning Langberg, Karsten Hoppe, Helge B D Sorensen
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.
|Journal||I E E E Engineering in Medicine and Biology Society. Conference Proceedings|
|Number of pages||4|
|Publication status||Published - Aug 2014|