{"id":"W2160347936","doi":"10.1088/0967-3334/33/10/1617","title":"Photoplethysmogram signal quality estimation using repeated Gaussian filters and cross-correlation","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Hirosaki University","keywords":"Pulse oximetry; Photoplethysmogram; SIGNAL (programming language); Pulse (music); Correlation coefficient; Gaussian; Algorithm; Mathematics; Computer science; Artificial intelligence; Computer vision; Statistics; Filter (signal processing); Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006022535,0.0001894566,0.0001949073,0.00004016101,0.0001188682,0.00005005427,0.00006669966,0.00009938127,0.00003537317],"category_scores_gemma":[0.0001190349,0.0001620513,0.00005579775,0.0001314408,0.00006028008,0.000311058,0.00003579384,0.0001686678,0.00001534052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002613365,"about_ca_system_score_gemma":0.000006314554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003484344,"about_ca_topic_score_gemma":7.156692e-7,"domain_scores_codex":[0.998688,0.00009629088,0.0002967333,0.0001966517,0.0003629238,0.0003593809],"domain_scores_gemma":[0.9995263,0.00004722149,0.00006335467,0.0001471336,0.00007328646,0.0001426814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001604845,0.00004698817,0.02334379,0.00005426599,0.00002726649,5.387623e-7,0.00009768371,0.03504235,0.9375796,0.00004608567,0.00001188183,0.003733554],"study_design_scores_gemma":[0.0005759581,0.000110099,0.6950222,0.0001178942,0.00003942372,0.000006151735,0.00005446075,0.04754283,0.2550526,0.0009029051,0.00002652763,0.0005489672],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541441,0.0002771251,0.04454709,0.000004586881,0.0003566568,0.0002394671,0.000003511944,0.0002389776,0.0001884941],"genre_scores_gemma":[0.9957128,0.000006602295,0.004008777,0.00001349353,0.0002006257,0.00002962601,0.000008678547,0.00001815658,0.000001249826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.682527,"threshold_uncertainty_score":0.6608261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195003860510109,"score_gpt":0.3204067452532049,"score_spread":0.2009063592021941,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}