Abstract
Endurance running is among the most popular physical activities partially due to its low barriers to entry. However, some people avoid running because of respiratory distress, and respiratory monitoring could help prevent this. Wearable sensors are valuable for respiration detection during exercise and enable respiratory feedback in real time. Therefore, this study presents a wearable chest-mounted stride and respiration sensor including step and flow reversal event detection algorithms. The algorithms were evaluated using precision and recall between detected and reference events with respect to different levels of breathing depth, motion artifact, thoracic skin temperature and sweat. Overall F1 scores reached 93.2%, 97.4% and 97.2% for step, expiration and inspiration events, respectively. No significant effect on event detection performance was observed for breathing depth, stride motion artifact, or thoracic skin temperature. In contrast, sweat level slightly decreased detection performance. Consequently, this sensor is able to accurately measure stride and respiration during running and could be suitable for use as a system to guide runners’ respiration during exercise.
Originalsprache | Englisch |
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Aufsatznummer | 19 |
Seitenumfang | 10 |
Fachzeitschrift | Sports Engineering |
Jahrgang | 26 |
Ausgabenummer | 1 |
DOIs | |
Publikationsstatus | Veröffentlicht - 22 März 2023 |
Bibliographische Notiz
Funding Information:This work was supported by the Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology under Contract No. 20210.641.557 and the federal state of Salzburg under the research program COMET— Competence Centers for Excellent Technologies-in the project Digital Motion in Sports, Fitness and Well-being (DiMo; Contract No. 872574).
Publisher Copyright:
© 2023, The Author(s).
Schlagwörter
- Algorithm development · Respiration · Textile sensors ·
Systematik der Wissenschaftszweige 2012
- 211 Andere Technische Wissenschaften