Non-invasive detection of the anaerobic threshold by a neural network model of the heart rate-work rate relationship

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ERDOGAN A., ÇETİN C., GÖKSU H., Guner R., BAYDAR M. L.

Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, vol.223, no.3, pp.109-115, 2009 (SCI-Expanded)

• Publication Type: Article / Article
• Volume: 223 Issue: 3
• Publication Date: 2009
• Doi Number: 10.1243/17543371jset18
• Journal Name: Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.109-115
• Keywords: exercise physiology, sports medicine, anaerobic threshold prediction, heart rate-work rate relation, RATE DEFLECTION POINT, BLOOD LACTATE, CONCONI TEST, ENDURANCE, PERFORMANCE, PREDICTION, DIAGNOSIS, VALIDITY, SYSTEMS
• Süleyman Demirel University Affiliated: Yes