Cardiorespiratory fitness estimation in free-living using wearable sensors

• Published in: Artificial intelligence in medicine Vol. 68; pp. 37 - 46
• Main Authors: Altini, Marco, Casale, Pierluigi, Penders, Julien, Amft, Oliver
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.03.2016
• Subjects: Adult; Artificial Intelligence; Bayesian models; Biosensing Techniques; Cardiorespiratory Fitness; Context recognition; Estimates; Expert systems; Female; Fitness; Heart rate; Humans; Internal Medicine; Male; Mathematical models; Other; Sensors; Topic models; Wearable; Young Adult; Bayesian models; Cardiorespiratory fitness; Topic models; Context recognition

Highlights • Used machine learning methods to determine multiple level of context in free living and contextualize heart rate data • Estimated cardiorespiratory fitness (CRF) using contextualized heart rate in free living, without laboratory protocols • Reduced CRF estimation error by up to 22.6% co...