Identifying Key Training Load and Intensity Indicators in Ice Hockey Using Unsupervised Machine Learning

• Published in: Research quarterly for exercise and sport Vol. 96; no. 1; pp. 21 - 33
• Main Authors: Rago, Vincenzo, Fernandes, Tiago, Mohr, Magni
• Format: Journal Article
• Language: English
• Published: United States Routledge 02.01.2025
• Subjects: Acceleration; Accelerometry; Adult; Athletic Performance - physiology; Competitive Behavior - physiology; Heart rate; Heart Rate - physiology; Hockey - physiology; Humans; Machine Learning; Male; Physical Conditioning, Human - methods; Physical Conditioning, Human - physiology; physiology; team sports; tracking; Wearable Electronic Devices; wearable technology; Young Adult; Heart rate; physiology; team sports; wearable technology; tracking

To identify key training load (TL) and intensity indicators in ice hockey, practice, and game data were collected using a wearable 200-Hz accelerometer and heart rate (HR) recording throughout a four-week (29 days) competitive period (23 practice sessions and 8 competitive games in 17 elite Danish p...