{"id":"W4403320220","doi":"10.1109/ojim.2024.3477572","title":"Smartphone System for Heart Rate and Breathing Rate Estimation","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of Instrumentation and Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heart rate; Breathing; Estimation; Cardiology; Medicine; Computer science; Internal medicine; Engineering; Anesthesia; Blood pressure","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002828699,0.0008178038,0.0008055388,0.000801595,0.0001612728,0.0003638816,0.0005581641,0.0006618157,0.01170066],"category_scores_gemma":[0.001154939,0.0002142182,0.0002681956,0.0003569137,0.00007748688,0.0004472886,0.0006019137,0.0004090247,0.006646551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011986,"about_ca_system_score_gemma":0.0001951848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009776596,"about_ca_topic_score_gemma":0.001454695,"domain_scores_codex":[0.9996508,0.00004767191,0.00003432002,0.00008810535,0.0001460733,0.00003293956],"domain_scores_gemma":[0.9995068,0.00007503327,0.00005137424,0.00007637568,0.0002511837,0.0000392242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001833418,0.0002901736,0.0129481,0.001622756,0.0002110377,0.001097035,0.0002867289,0.001262031,0.262652,0.001503666,0.07157452,0.6447185],"study_design_scores_gemma":[0.0008741087,0.003833134,0.1607965,0.000726795,0.00074619,0.01085534,0.0004539994,0.2063529,0.3057127,0.003358785,0.3056694,0.0006201661],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1818534,0.01294263,0.6636109,0.001084225,0.002113008,0.002259121,0.02050469,0.08187487,0.03375712],"genre_scores_gemma":[0.7484899,0.003352599,0.197574,0.001442317,0.0007281807,0.001459616,0.01119424,0.0008403623,0.03491876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01170066,"threshold_uncertainty_score":0.03914261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04084606701568531,"score_gpt":0.2771993992388208,"score_spread":0.2363533322231355,"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."}}