{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:XRGQMUSTK6Z2OFNWI6GNW3QITF","short_pith_number":"pith:XRGQMUST","schema_version":"1.0","canonical_sha256":"bc4d06525357b3a715b6478cdb6e0899428b39ffb8b0b88920ee5565fe1e6f1b","source":{"kind":"arxiv","id":"1209.1563","version":1},"attestation_state":"computed","paper":{"title":"Wavelet Based QRS Complex Detection of ECG Signal","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anamitra Bardhan Roy, Nilanjan Dey, Sayantan Mukhopadhyay, Shouvik Biswas","submitted_at":"2012-09-07T15:05:57Z","abstract_excerpt":"The Electrocardiogram (ECG) is a sensitive diagnostic tool that is used to detect various cardiovascular diseases by measuring and recording the electrical activity of the heart in exquisite detail. A wide range of heart condition is determined by thorough examination of the features of the ECG report. Automatic extraction of time plane features is important for identification of vital cardiac diseases. This paper presents a multi-resolution wavelet transform based system for detection 'P', 'Q', 'R', 'S', 'T' peaks complex from original ECG signal. 'R-R' time lapse is an important minutia of t"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1209.1563","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-09-07T15:05:57Z","cross_cats_sorted":[],"title_canon_sha256":"5eac553b23e6412dce3f1733355932776b31803c7d8aac10a1c65d6dc2b75810","abstract_canon_sha256":"82c54e1826b0840f772af57e8e692eda8ddc6bfba72cee2a99bc58a3b842c0ec"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:46:04.487415Z","signature_b64":"p8yJEtZeXX4VsOxezzeikXJ7kebJv9IhT/3wVkzt/sG0hgSSuoxN1MgQEnP2ZPtTyY3wSKz8D7mLLUVUVxWFBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc4d06525357b3a715b6478cdb6e0899428b39ffb8b0b88920ee5565fe1e6f1b","last_reissued_at":"2026-05-18T03:46:04.486870Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:46:04.486870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Wavelet Based QRS Complex Detection of ECG Signal","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anamitra Bardhan Roy, Nilanjan Dey, Sayantan Mukhopadhyay, Shouvik Biswas","submitted_at":"2012-09-07T15:05:57Z","abstract_excerpt":"The Electrocardiogram (ECG) is a sensitive diagnostic tool that is used to detect various cardiovascular diseases by measuring and recording the electrical activity of the heart in exquisite detail. A wide range of heart condition is determined by thorough examination of the features of the ECG report. Automatic extraction of time plane features is important for identification of vital cardiac diseases. This paper presents a multi-resolution wavelet transform based system for detection 'P', 'Q', 'R', 'S', 'T' peaks complex from original ECG signal. 'R-R' time lapse is an important minutia of t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1209.1563","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1209.1563","created_at":"2026-05-18T03:46:04.486944+00:00"},{"alias_kind":"arxiv_version","alias_value":"1209.1563v1","created_at":"2026-05-18T03:46:04.486944+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1209.1563","created_at":"2026-05-18T03:46:04.486944+00:00"},{"alias_kind":"pith_short_12","alias_value":"XRGQMUSTK6Z2","created_at":"2026-05-18T12:27:27.928770+00:00"},{"alias_kind":"pith_short_16","alias_value":"XRGQMUSTK6Z2OFNW","created_at":"2026-05-18T12:27:27.928770+00:00"},{"alias_kind":"pith_short_8","alias_value":"XRGQMUST","created_at":"2026-05-18T12:27:27.928770+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF","json":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF.json","graph_json":"https://pith.science/api/pith-number/XRGQMUSTK6Z2OFNWI6GNW3QITF/graph.json","events_json":"https://pith.science/api/pith-number/XRGQMUSTK6Z2OFNWI6GNW3QITF/events.json","paper":"https://pith.science/paper/XRGQMUST"},"agent_actions":{"view_html":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF","download_json":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF.json","view_paper":"https://pith.science/paper/XRGQMUST","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1209.1563&json=true","fetch_graph":"https://pith.science/api/pith-number/XRGQMUSTK6Z2OFNWI6GNW3QITF/graph.json","fetch_events":"https://pith.science/api/pith-number/XRGQMUSTK6Z2OFNWI6GNW3QITF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF/action/storage_attestation","attest_author":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF/action/author_attestation","sign_citation":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF/action/citation_signature","submit_replication":"https://pith.science/pith/XRGQMUSTK6Z2OFNWI6GNW3QITF/action/replication_record"}},"created_at":"2026-05-18T03:46:04.486944+00:00","updated_at":"2026-05-18T03:46:04.486944+00:00"}