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arXiv Open Access 2024

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

Jessilyn Dunn Varun Mishra Md Mobashir Hasan Shandhi Hayoung Jeong Natasha Yamane +3 lainnya
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Abstrak

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.

Topik & Kata Kunci

cs.HC

Penulis (8)

J

Jessilyn Dunn

V

Varun Mishra

M

Md Mobashir Hasan Shandhi

H

Hayoung Jeong

N

Natasha Yamane

Y

Yuna Watanabe

B

Bill Chen

M

Matthew S. Goodwin

Format Sitasi

APA MLA BibTeX
Dunn, J., Mishra, V., Shandhi, M.M.H., Jeong, H., Yamane, N., Watanabe, Y. et al. (2024). Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic. https://arxiv.org/abs/2403.17165

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓