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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.17165 |
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| _version_ | 1866929295939600384 |
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| author | Dunn, Jessilyn Mishra, Varun Shandhi, Md Mobashir Hasan Jeong, Hayoung Yamane, Natasha Watanabe, Yuna Chen, Bill Goodwin, Matthew S. |
| author_facet | Dunn, Jessilyn Mishra, Varun Shandhi, Md Mobashir Hasan Jeong, Hayoung Yamane, Natasha Watanabe, Yuna Chen, Bill Goodwin, Matthew S. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_17165 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic Dunn, Jessilyn Mishra, Varun Shandhi, Md Mobashir Hasan Jeong, Hayoung Yamane, Natasha Watanabe, Yuna Chen, Bill Goodwin, Matthew S. Human-Computer Interaction 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. |
| title | Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2403.17165 |