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Updated: Feb 10, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
Taking heart rate variability to the next level in sports: towards a multi-signal integration
Nicolas Bourdillon1, Grégoire P Millet1
1Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Abstract:
Heart rate variability (HRV) is most often used as a standalone, without integration of complementary data. Yet these data are at our fingertips, and a revolution might be just around the corner. This perspective article gives insight on how integrating accelerometery and continuous blood pressure and extracting ventilatory variables may improve the use of HRV, taking it to a whole new level for elite and recreational sports, assessing fatigue, and intensity domains. Also, the use of mass data could lead to seamless measurements as precise and relevant as in elite sports, which could be made available to the public for health assessment and follow-up.
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