Abruñedo-Lombardero, J, Padrón-Cabo, A, Vélez-Serrano, D, Álvaro-Meca, A & Iglesias-Soler, E. (2025). An explainable machine learning approach to explain the effects of training and match load on ultra-short-term heart rate variability in semi-professional basketball players. Sensors, 25 (22), 6928. Zugriff am 10.03.2026 unter https://doi.org/10.3390/s25226928
APA-Zitierstil (7. Ausg.)Abruñedo-Lombardero, J., Padrón-Cabo, A., Vélez-Serrano, D., Álvaro-Meca, A., & Iglesias-Soler, E. (2025). An explainable machine learning approach to explain the effects of training and match load on ultra-short-term heart rate variability in semi-professional basketball players. Sensors, 25(22), 6928.
Chicago-Zitierstil (17. Ausg.)Abruñedo-Lombardero, J., A. Padrón-Cabo, D. Vélez-Serrano, A. Álvaro-Meca, und E. Iglesias-Soler. "An Explainable Machine Learning Approach to Explain the Effects of Training and Match Load on Ultra-short-term Heart Rate Variability in Semi-professional Basketball Players." Sensors 25, no. 22 (2025): 6928.
MLA-Zitierstil (9. Ausg.)Abruñedo-Lombardero, J., et al. "An Explainable Machine Learning Approach to Explain the Effects of Training and Match Load on Ultra-short-term Heart Rate Variability in Semi-professional Basketball Players." Sensors, vol. 25, no. 22, 2025, p. 6928.