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

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, cilt.223, sa.3, ss.109-115, 2009 (SCI-Expanded, Scopus)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 223 Sayı: 3
• Basım Tarihi: 2009
• Doi Numarası: 10.1243/17543371jset18
• Dergi Adı: Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.109-115
• Anahtar Kelimeler: 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 Üniversitesi Adresli: Evet