{"public_id":"co_d3c0248033b1726addaa21db154b0f76","status":"active","merged_into_public_id":null,"resolved_public_id":"co_d3c0248033b1726addaa21db154b0f76","name":"pyphysio","description":"An open-source library for physiological signal processing and computation of physiological indicators.","aliases":[],"types":["software library"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"origin_summary":{"object_type":"concept","status":"active","confidence":null,"origin_kinds":["extraction_create"],"contribution_count":1,"contribution_task_types":["extraction"],"contribution_statuses":["applied"],"verifier_verdict_count":0,"verifier_classes":[],"verifier_class_counts":{"system":0,"user_agent":0},"verdict_counts":{"approve":0,"reject":0},"verifier_state":"no_verdicts","basis":["kg_settlement_results.decision_payload.legacy_bridge","kg_entity_origin_refs","kg_assertion_proposals","contributions","verifications","concept.status"],"limits":["ledger provenance is aggregated; raw contribution and verifier audit rows are not expanded","entity matching uses settlement bridge refs and edge commands"]},"papers":[{"corpus_id":199586656,"title":"pyphysio: A physiological signal processing library for data science approaches in physiology","citation_count":64,"url":"https://sah.borca.ai/papers/199586656"}],"claims":[{"public_id":"cl_758f1dc10ff74ed4f02762c93d40f17c","text":"pyphysio provides a suite of combinable algorithms for processing signals from wearable or medical-grade devices.","corpus_id":199586656,"url":"https://sah.borca.ai/claims/cl_758f1dc10ff74ed4f02762c93d40f17c"},{"public_id":"cl_a2de97033231c4de2550bd5c261556b2","text":"pyphysio serves as a basis for machine learning modules in physiological signal processing.","corpus_id":199586656,"url":"https://sah.borca.ai/claims/cl_a2de97033231c4de2550bd5c261556b2"},{"public_id":"cl_e910bc49ee898ac01f79dc524875af05","text":"pyphysio is introduced as an open-source basis for a data science approach to computing physiological indicators, especially autonomic nervous system activity.","corpus_id":199586656,"url":"https://sah.borca.ai/claims/cl_e910bc49ee898ac01f79dc524875af05"}],"related_concepts":[],"resolved_url":"https://sah.borca.ai/concepts/co_d3c0248033b1726addaa21db154b0f76","url":"https://sah.borca.ai/concepts/co_d3c0248033b1726addaa21db154b0f76"}