How to measure heart rate variability in endurance sports

Heart rate variability (HRV) analysis has been extensively used in many applications over the past 50 years. Yet, inconsistencies in data collection protocols, metrics used and data analysis techniques, as well as issues with accuracy and validity of today’s wearables, makes it difficult to approach the subject effectively. In this talk, I aim at providing an overview of the physiological underpinnings of HRV, and a framework for data collection and interpretation using state-of-the-art technologies. I will also provide many practical examples of individual responses to training and lifestyle stressors (e.g. sickness, travel, menstrual cycle, etc.), so that we can get a better understanding of how we can use HRV as an effective tool for physiological stress assessment and training load management.

Marco Altini - Biosketch

Marco holds a PhD cum laude in applied machine learning, a M.Sc. cum laude in computer science engineering, and a M.Sc. cum laude in human movement sciences and high-performance coaching. He has published more than 50 papers and patents at the intersection between physiology, health, technology and human performance. He is the co-founder of HRV4Training, advisor at Oura, guest lecturer at VU Amsterdam, and editor of the Wearables department of IEEE Pervasive Computing. Twitter: @altini_marco.

Founder of HRV4Training

Guest Lecturer at VU Amsterdam

De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands