Our guest is a highly esteemed figure in the fields of HRV analysis, wearable technology, and performance. With an impressive academic background, one area that he has focused on is the development of body parameters monitoring software, especially HRV measurement, systematic review of heart activity and brain activity, and autonomic nervous system. This software enables individuals to track and analyze various aspects of their body’s response to different stresses, e.g. during training sessions. Whether it be during exercise, recovery, or daily activities, this technology provides valuable insights into how our bodies are functioning and how they respond to training.

Our guest’s interest in how to measure HRV and apply HRV data to e.g. adjust training load led him to a Ph.D. in data science. He started to research the use of sensors for variability analysis and estimating parameters (e.g. HRV index) to personalize training programs, but also manage mental and physical health. 

Keep IT Healthy podcast with Marco Altini, founder of HRV4Training

Meet Marco Altini – an established authority in the intersection of health, technology, performance, and analysis of heart rate variability. His interdisciplinary background in data science, computer engineering, and human movement sciences has set him up perfectly to develop technology based on HRV, aimed at optimizing human performance and health. 

In 2012, he started HRV4training – a mobile platform monitoring HRV, designed to measure heart rate and respiration and quantify stress to improve athletic performance, e.g. training loads and recovery. Trusted by over 200,000 users, including Olympic medallists and professional teams, the app stands out as the first and only one that can reliably measure HRV using a phone’s camera. Since the very beginning, it has been developing tools to measure the relationship between HRV and physiological stress and create solutions to help people manage stress in the context of training adaptation and lifestyle in general.

HRV4training combines the systematic review with meta-analysis and HRV biofeedback in developing algorithms and building ways to estimate parameters linked to health and performance from the data, from monitoring heart-rate variability.

What else you can hear in episode 8 of our podcast?

  • How would machine learning change medicine in the coming years? (e.g. in diagnostics development, prognostics improvement, and patient monitoring)
  • What are the most efficient methods used to analyze HRV currently?
  • How does HRV4training utilize the resting HRV in training balance performance improvement?
  • How this technology work and how accurate it is in comparison to the traditional HRV metrics? 
  • What are the possibilities of HRV monitoring, and its accuracy concerning other tools?
  • How does the HRV4training stand out from other health and performance technologies on the market?
  • How do wearable sensors help in the development of the next-generation sleep staging algorithm?
  • What is the bigger barrier to implementing technology using the HRV in training – lack of technical knowledge of trainers or lack of funds for the implementation itself?
  • Why establishing very good relationships with certain important stakeholders like universities or hospitals that might help do the research is so important for developing new sport-tech and healthtech solutions?

Altini believes that camera-based measurements hold great potential for the future of wearables and their role in health and performance. By leveraging advanced computer vision algorithms and machine learning techniques, these camera-based systems can accurately capture data such as heart rate variability, breathing patterns, and movement dynamics without the need for additional sensors or devices.

This technology has significant implications for both professional and recreational athletes who are looking to optimize their training routines, as well as training and recovery loads. By gaining real-time feedback on their body’s response to various exercises or activities, athletes can make informed decisions about their training intensity, recovery strategies, and overall performance enhancement.

Altini’s expertise in this field positions him as a trusted source when it comes to understanding the latest advancements in body parameter monitoring software and its applications within the realm of health and performance.

Have we interested you? Great! Listen to the full episode at https://applover.com/podcast/