Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic

Picture of Jessilyn Dunn
Jessilyn Dunn
Picture of Md Mobashir Hasan Shandhi
Md Mobashir Hasan Shandhi
Picture of Hayoung Jeong
Hayoung Jeong
Picture of Natasha Yamane
Natasha Yamane
Picture of Yuna Watanabe
Yuna Watanabe
Picture of Bill Chen
Bill Chen
Picture of Matthew S. Goodwin
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.

Materials