Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic
<|reference_start|>Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic: 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.<|reference_end|>
@article{dunn2024building,
    title={Building an Open-Source Community to Enhance Autonomic Nervous System
  Signal Analysis: DBDP-Autonomic},
    author={Jessilyn Dunn, Varun Mishra, Md Mobashir Hasan Shandhi, Hayoung Jeong,
  Natasha Yamane, Yuna Watanabe, Bill Chen, Matthew S. Goodwin},
    journal={arXiv preprint arXiv:2403.17165},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.17165},
    primaryClass={cs.HC}
}