How Data Can Capture Recovery: The Case for Heart Rate Variability

Marco Altini*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

Heart rate variability (HRV) is a proxy of physiological stress, capturing auto-nomic nervous system responses to training and other stressors. As such, a vast body of literature has investigated the impact of acute and chronic stressors on HRV. Technological advancements such as mobile apps and wearables able to capture HRV data in more practical settings have further pushed the adoption and use of HRV analysis. In this chapter, we cover the physiological underpinnings of HRV analysis and discuss metrics and their relation to acute and longer-term stressors and in the context of training periodization and planning. Finally, we provide practical advice on validated technologies and best practices for practitioners interested in using HRV analysis to capture individual responses to training and lifestyle stressors.

Original languageEnglish
Title of host publicationIndividualizing Training Procedures with Wearable Technology
EditorsPeter Düking, Billy Sperlich
PublisherSpringer International Publishing
Pages7-19
Number of pages13
ISBN (Electronic)9783031451133
ISBN (Print)9783031451126, 9783031451157
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Heart rate variability
  • Physiological stress
  • Training individualization
  • Training monitoring

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