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 B D Sorensen

doi:10.1109/embc.2014.6944543

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 B D Sorensen

Section of Social Medicine

5 Citations (Scopus)

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 language	English
Journal	I E E E Engineering in Medicine and Biology Society. Conference Proceedings
Volume	2014
Pages (from-to)	4172-4175
Number of pages	4
ISSN	2375-7477
DOIs	https://doi.org/10.1109/embc.2014.6944543
Publication status	Published - 2 Nov 2014

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title = "Comparative study of T-amplitude features for fitness monitoring using the ePatch{\textregistered} ECG recorder",

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.",

author = "Thorpe, {Julia Rosemary} and Trine Saida and Jesper Mehlsen and Anne-Birgitte Mehlsen and Henning Langberg and Karsten Hoppe and Sorensen, {Helge B D}",

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AU - Thorpe, Julia Rosemary

AU - Saida, Trine

AU - Mehlsen, Jesper

AU - Mehlsen, Anne-Birgitte

AU - Langberg, Henning

AU - Hoppe, Karsten

AU - Sorensen, Helge B D

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N2 - 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.

AB - 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.

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JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

ER -

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

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