{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:BTFYHTKODUKYRSJEZ2QO7W527Z","short_pith_number":"pith:BTFYHTKO","schema_version":"1.0","canonical_sha256":"0ccb83cd4e1d1588c924cea0efdbbafe746241a2082b3bdafe72917879e13ca2","source":{"kind":"arxiv","id":"1801.02474","version":1},"attestation_state":"computed","paper":{"title":"An Analysis of Two Common Reference Points for EEGs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"eess.SP","authors_text":"Aaron Gross, Iyad Obeid, Joseph Picone, Meysam Golmohammadi, Scott Yang, Silvia Lopez","submitted_at":"2018-01-03T01:37:45Z","abstract_excerpt":"Clinical electroencephalographic (EEG) data varies significantly depending on a number of operational conditions (e.g., the type and placement of electrodes, the type of electrical grounding used). This investigation explores the statistical differences present in two different referential montages: Linked Ear (LE) and Averaged Reference (AR). Each of these accounts for approximately 45% of the data in the TUH EEG Corpus. In this study, we explore the impact this variability has on machine learning performance. We compare the statistical properties of features generated using these two montage"},"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":"1801.02474","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-01-03T01:37:45Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"6445fbda2b0764bc90668458a0ce0ca7c5138dd65591173811f496ac19aec50e","abstract_canon_sha256":"c96cc145e5fdcff6fc94aa412c6a0aade0534efa9b28e70c2697ce93cee0bc57"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:26:31.461949Z","signature_b64":"3duA8IDaOH0964WI86jKS0WB34fWHjSaiZoiGL0sEMGzVSTb+Bk7ytRIcooWGipOqN5QEkW/ibPV4D5k+vEUAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ccb83cd4e1d1588c924cea0efdbbafe746241a2082b3bdafe72917879e13ca2","last_reissued_at":"2026-05-18T00:26:31.461463Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:26:31.461463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Analysis of Two Common Reference Points for EEGs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"eess.SP","authors_text":"Aaron Gross, Iyad Obeid, Joseph Picone, Meysam Golmohammadi, Scott Yang, Silvia Lopez","submitted_at":"2018-01-03T01:37:45Z","abstract_excerpt":"Clinical electroencephalographic (EEG) data varies significantly depending on a number of operational conditions (e.g., the type and placement of electrodes, the type of electrical grounding used). This investigation explores the statistical differences present in two different referential montages: Linked Ear (LE) and Averaged Reference (AR). Each of these accounts for approximately 45% of the data in the TUH EEG Corpus. In this study, we explore the impact this variability has on machine learning performance. We compare the statistical properties of features generated using these two montage"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.02474","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":"1801.02474","created_at":"2026-05-18T00:26:31.461543+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.02474v1","created_at":"2026-05-18T00:26:31.461543+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.02474","created_at":"2026-05-18T00:26:31.461543+00:00"},{"alias_kind":"pith_short_12","alias_value":"BTFYHTKODUKY","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_16","alias_value":"BTFYHTKODUKYRSJE","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_8","alias_value":"BTFYHTKO","created_at":"2026-05-18T12:32:16.446611+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/BTFYHTKODUKYRSJEZ2QO7W527Z","json":"https://pith.science/pith/BTFYHTKODUKYRSJEZ2QO7W527Z.json","graph_json":"https://pith.science/api/pith-number/BTFYHTKODUKYRSJEZ2QO7W527Z/graph.json","events_json":"https://pith.science/api/pith-number/BTFYHTKODUKYRSJEZ2QO7W527Z/events.json","paper":"https://pith.science/paper/BTFYHTKO"},"agent_actions":{"view_html":"https://pith.science/pith/BTFYHTKODUKYRSJEZ2QO7W527Z","download_json":"https://pith.science/pith/BTFYHTKODUKYRSJEZ2QO7W527Z.json","view_paper":"https://pith.science/paper/BTFYHTKO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.02474&json=true","fetch_graph":"https://pith.science/api/pith-number/BTFYHTKODUKYRSJEZ2QO7W527Z/graph.json","fetch_events":"https://pith.science/api/pith-number/BTFYHTKODUKYRSJEZ2QO7W527Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BTFYHTKODUKYRSJEZ2QO7W527Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BTFYHTKODUKYRSJEZ2QO7W527Z/action/storage_attestation","attest_author":"https://pith.science/pith/BTFYHTKODUKYRSJEZ2QO7W527Z/action/author_attestation","sign_citation":"https://pith.science/pith/BTFYHTKODUKYRSJEZ2QO7W527Z/action/citation_signature","submit_replication":"https://pith.science/pith/BTFYHTKODUKYRSJEZ2QO7W527Z/action/replication_record"}},"created_at":"2026-05-18T00:26:31.461543+00:00","updated_at":"2026-05-18T00:26:31.461543+00:00"}