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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder. / Thorpe, Julia Rosemary; Saida, Trine; Mehlsen, Jesper; Mehlsen, Anne-Birgitte; Langberg, Henning; Hoppe, Karsten; Sorensen, Helge B D.

In: I E E E Engineering in Medicine and Biology Society. Conference Proceedings, Vol. 2014, 08.2014, p. 4172-4175.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Thorpe, JR, Saida, T, Mehlsen, J, Mehlsen, A-B, Langberg, H, Hoppe, K & Sorensen, HBD 2014, 'Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder', I E E E Engineering in Medicine and Biology Society. Conference Proceedings, vol. 2014, pp. 4172-4175. https://doi.org/10.1109/EMBC.2014.6944543

APA

Thorpe, J. R., Saida, T., Mehlsen, J., Mehlsen, A-B., Langberg, H., Hoppe, K., & Sorensen, H. B. D. (2014). Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2014, 4172-4175. https://doi.org/10.1109/EMBC.2014.6944543

Vancouver

Thorpe JR, Saida T, Mehlsen J, Mehlsen A-B, Langberg H, Hoppe K et al. Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder. I E E E Engineering in Medicine and Biology Society. Conference Proceedings. 2014 Aug;2014:4172-4175. https://doi.org/10.1109/EMBC.2014.6944543

Author

Thorpe, Julia Rosemary ; Saida, Trine ; Mehlsen, Jesper ; Mehlsen, Anne-Birgitte ; Langberg, Henning ; Hoppe, Karsten ; Sorensen, Helge B D. / Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder. In: I E E E Engineering in Medicine and Biology Society. Conference Proceedings. 2014 ; Vol. 2014. pp. 4172-4175.

Bibtex

@article{61b3b8f2fa1d47b197d26a142d3504f6,
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}",
year = "2014",
month = aug,
doi = "10.1109/EMBC.2014.6944543",
language = "English",
volume = "2014",
pages = "4172--4175",
journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
issn = "0589-1019",
publisher = "IEEE Signal Processing Society",

}

RIS

TY - JOUR

T1 - Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder

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

PY - 2014/8

Y1 - 2014/8

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.

U2 - 10.1109/EMBC.2014.6944543

DO - 10.1109/EMBC.2014.6944543

M3 - Journal article

C2 - 25570911

VL - 2014

SP - 4172

EP - 4175

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

SN - 0589-1019

ER -

ID: 130023078