{"corpus_id":199586656,"paper_sha":"14a4d643186a4d86778a57dfb3e699f3a2ab19ea","doi":"10.1016/J.SOFTX.2019.100287","arxiv_id":null,"pmid":null,"pmcid":null,"mag_id":2963232555,"dblp_id":"journals/softx/BizzegoBGEF19","acl_id":null,"title":"pyphysio: A physiological signal processing library for data science approaches in physiology","year":2019,"publication_date":"2019-07-01","venue":"SoftwareX","journal":{"name":"SoftwareX","pages":"100287","volume":"10"},"journal_issn":null,"journal_title":null,"publication_types":["JournalArticle"],"pubmed_pub_types":null,"s2_fields_of_study":["Medicine","Computer Science"],"reference_count":27,"citation_count":64,"influential_citation_count":5,"is_open_access":true,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":null,"chemicals":null,"comments_corrections":null,"source_flags":1,"s2_open_access_pdf_url":"http://www.softxjournal.com/article/S2352711019301839/pdf","s2_open_access_landing_url":"https://www.semanticscholar.org/paper/14a4d643186a4d86778a57dfb3e699f3a2ab19ea","s2_open_access_license":"CCBYNCND","s2_open_access_status":"GOLD","pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"Abstract The lack of open-source tools for physiological signal processing hinders the development of standardized pipelines in physiology. Researchers usually must rely on commercial software that, by implementing black-box algorithms, undermines the control on the analysis and prevents the comparison of the results, ultimately affecting the scientific reproducibility. We introduce pyphysio as a step towards a data science approach oriented to compute physiological indicators, in particular of the Autonomic Nervous System activity. pyphysio serves as a basis for machine learning modules and it implements a suite of combinable algorithms for processing of signals from either by wearable or medical-grade quality devices.","claims":[{"public_id":"cl_e910bc49ee898ac01f79dc524875af05","status":"active","text":"pyphysio is introduced as an open-source basis for a data science approach to computing physiological indicators, especially autonomic nervous system activity.","confidence":0.98,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_e910bc49ee898ac01f79dc524875af05"},{"public_id":"cl_758f1dc10ff74ed4f02762c93d40f17c","status":"active","text":"pyphysio provides a suite of combinable algorithms for processing 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