title: Comparative study of T-amplitude features for fitness monitoring using the ePatch® 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.
authors.forename: Julia Rosemary
authors.initials: JR
authors.lastname: Thorpe
authors.forename: Trine
authors.initials: T
authors.lastname: Saida
authors.forename: Jesper
authors.initials: J
authors.lastname: Mehlsen
authors.forename: Anne-Birgitte
authors.initials: AB
authors.lastname: Mehlsen
authors.forename: Henning
authors.initials: H
authors.lastname: Langberg
authors.forename: Karsten
authors.initials: K
authors.lastname: Hoppe
authors.forename: Helge B D
authors.initials: HB
authors.lastname: Sorensen
mesh_terms: D000465:Algorithms; D016022:Case-Control Studies; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D005080:Exercise Test / Q000295:instrumentation / Q000379:methods; D005260:Female; D006339:Heart Rate; D006801:Humans; D008297:Male; D009043:Motor Activity; D010809:Physical Fitness; D012815:Signal Processing, Computer-Assisted