Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic
Jessilyn Dunn
Md Mobashir Hasan Shandhi
Hayoung Jeong
Natasha Yamane
Yuna Watanabe
Bill Chen
Matthew S. Goodwin
Published at
arXiv
2024
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.