Recording and analysis of biosignals on mobile devices
Gespeichert in:
| Autor: | Kugler, Patrick; Jensen, Ulf; Eskofier, Björn M. |
|---|---|
| Erschienen in: | Sportinformatik 2012 : 9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft vom 12.-14. Sept. 2012 in Konstanz ; Beiträge |
| Veröffentlicht: | Konstanz: 2012, S. 182-187, Lit. |
| Beteiligte Körperschaft: | Deutsche Vereinigung für Sportwissenschaft ; Gesellschaft für Informatik |
| Herausgeber: | Universität Konstanz |
| Format: | Literatur (SPOLIT) |
| Publikationstyp: | Sammelwerksbeitrag |
| Medienart: | Elektronische Ressource (online) Gedruckte Ressource |
| Dokumententyp: | Graue Literatur |
| Sprache: | Englisch |
| Schlagworte: | |
| Online Zugang: | |
| Erfassungsnummer: | PU201707005615 |
| Quelle: | BISp |
Einleitung
Recording and analysis of biosignals is very important for healthcare and sports. The collected biosignals include electrophysiological signals like electrocardiogram (ECG) or electromyogram (EMG) as well as kinematics and kinetics. They are used to ensure correct execution of exercises, to assess the physiological state of athletes and to monitor training progress (Armstrong 2007). However, systems for data collection are expensive and often restricted to hospitals or biomechanics labs. Additionally, often an offline-analysis is performed, i.e. no feedback is available in the field and data must be processed on a separate PC. This is a huge drawback, as athletes and trainers desire immediate feedback about performance.