Towards VO2 monitoring: Validation of a heart rate based algorithm
This article presents and validates a novel algorithm for the continuous monitoring of the VO 2 during exercise. The algorithm relies on instantaneous HR measurements to provide a continuous estimation, and can be integrated in a wearable device (e.g., smartwatch, sensor patch). It can be customized...
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| Published in | Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) pp. 1780 - 1783 |
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| Main Authors | , , , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.07.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1557-170X |
| DOI | 10.1109/EMBC.2017.8037189 |
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| Summary: | This article presents and validates a novel algorithm for the continuous monitoring of the VO 2 during exercise. The algorithm relies on instantaneous HR measurements to provide a continuous estimation, and can be integrated in a wearable device (e.g., smartwatch, sensor patch). It can be customized by user's main anthropomorphic parameters and automatically learns from newly incoming data recalibrating itself if needed. The system is evaluated against a database of 14 healthy subjects performing various maximal endurance tests. The proposed method provides a VO 2 estimation with average RMSE of 4.63 ml/kg/min. |
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| ISSN: | 1557-170X |
| DOI: | 10.1109/EMBC.2017.8037189 |