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This paper is in the following e-collection/theme issue:

Serious Games for Health and Medicine (834) Games and Gamification for Health (813) Innovations and Technology for Physical Activity Education (971) e-Cardiology and Telemonitoring in Cardiology (231) Novel Sensors and Data Acquisition Methods in Cardiology (236) Cardiac Self-Management (154) Wearable Devices and Sensors (1212)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46351, first published .
A Serious Game to Self-Regulate Heart Rate Variability as a Technique to Manage Arousal Level Through Cardiorespiratory Biofeedback: Development and Pilot Evaluation Study

A Serious Game to Self-Regulate Heart Rate Variability as a Technique to Manage Arousal Level Through Cardiorespiratory Biofeedback: Development and Pilot Evaluation Study

A Serious Game to Self-Regulate Heart Rate Variability as a Technique to Manage Arousal Level Through Cardiorespiratory Biofeedback: Development and Pilot Evaluation Study

Authors of this article:

Tony Estrella1, 2 Author Orcid Image ;   Carla Alfonso1, 2 Author Orcid Image ;   Juan Ramos-Castro3 Author Orcid Image ;   Aitor Alsina4 Author Orcid Image ;   Lluis Capdevila1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (13) Metrics

Conference Proceedings

  1. Ma Q. 2025 7th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI). A Cognitive-Driven Smart Gaming System Architecture Based on Deep Attention Networks and Edge-AI Integration View
  2. Louka M, Vakhajevitsj Mahauri H, Krasniqi K, Marentakis G. Proceedings of the 20th International Audio Mostly Conference. Comparing Trend-Based and Direct HRV Biofeedback in an Adaptive Game Environment View
  3. Fejer G, Holzapfel T, Hirvonen T, Lalidis Mateo A, Blum J, Gaebler M, Lenggenhager B. Proceedings of the 1st International Conference on Human-Computer Interaction in the Alps. Breathing Space: Spatial Mapping of Breath and Cardiac Biofeedback for Affective State Representation and Coherence Training in Viscereality View