Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic
March 25, 2024 Β· Declared Dead Β· π Frontiers Digit. Health
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Authors
Jessilyn Dunn, Varun Mishra, Md Mobashir Hasan Shandhi, Hayoung Jeong, Natasha Yamane, Yuna Watanabe, Bill Chen, Matthew S. Goodwin
arXiv ID
2403.17165
Category
cs.HC: Human-Computer Interaction
Citations
3
Venue
Frontiers Digit. Health
Last Checked
4 months ago
Abstract
Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep pace with rapid advancements in hardware technology and availability, creating an analytical barrier that limits the scientific usefulness of acquired data. We propose a community-driven, open-source peripheral psychophysiological signal pre-processing and analysis software framework that could advance biobehavioral health by enabling more robust, transparent, and reproducible inferences involving autonomic nervous system data.
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