HRV4Training started as a research project and is currently the only validated platform able to provide reliable HRV measurements using the phone camera.
Similarly, most of our analytics have been published and thoroughly documented for the scientific community (from VO2max estimation to lactate threshold and racing time estimates as well as acute HRV responses to training stressors). Please search also our Blog as many additional details are provided there.
You can also find all our publications at this page on Research Gate.
2017. D.J. Plews, B. Scott, M. Altini, M. Wood, A.E. Kilding and P.B. Laursen, "Comparison of heart rate variability recording with smart phone photoplethysmographic, Polar H7 chest strap and electrocardiogram methods", accepted for publication in the International Journal of Sports Physiology and Performance. Full text here.
2018. M. Altini, O. Amft, "Estimating running performance combining non-invasive physiological measurements and training patterns in free-living", accepted for publication at EMBC 2018. Full text here.
2017. M. Altini, C. Van Hoof, O. Amft, "Relation Between Estimated Cardiorespiratory Fitness and Running Performance in Free-Living: an Analysis of HRV4Training Data ", accepted for publication at BHI 2017. Full paper at this link.
2016. M. Altini, O. Amft, "HRV4Training: Large-Scale Longitudinal Training Load Analysis in Unconstrained Free-Living Settings Using a Smartphone Application", accepted for publication at EMBC 2016. Full paper.
2017. S. Williams, T. Booton, M. Watson, D. Rowland, M. Altini, "Heart Rate Variability is a Moderating Factor in the Workload-Injury Relationship of Competitive CrossFit™ Athletes" Journal of Sports Science and Medicine. Full text here.
2016. M. Altini, P. Casale, J. Penders, O. Amft, "Cardiorespiratory fitness estimation in free-living using wearable sensors" accepted for publication in Artificial Intelligence in Medicine. Full paper.
2016. M. Altini, P. Casale, J. Penders, O. Amft, "Cardiorespiratory fitness estimation using wearable sensors: laboratory and free-living analysis of context-specific submaximal heart rates". Accepted for publication in the Journal of Applied Physiology. Full paper.