Cardiorespiratory fitness estimation in free-living using wearable sensors.

Journal: Artificial intelligence in medicine

Published Date: Mar 1, 2016

Abstract

OBJECTIVE: In this paper we propose artificial intelligence methods to estimate cardiorespiratory fitness (CRF) in free-living using wearable sensor data.

Authors

Marco Altini
Pierluigi Casale

imec The Netherlands, High Tech Campus 31, 5656 AE Eindhoven, The Netherlands.
Julien Penders
Oliver Amft

Chair of Sensor Technology, University of Passau, Innstrasse 41, 94032 Passau, Germany.

Keywords

Adult Artificial Intelligence Biosensing Techniques Cardiorespiratory Fitness Female Humans Male Young Adult

External Resources

View on PubMed Access via DOI PubMed (26948954)

Cardiorespiratory fitness estimation in free-living using wearable sensors.

Abstract

Authors

Keywords

External Resources

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