{"id":"W2025265708","doi":"10.1371/journal.pone.0086427","title":"Estimating Respiratory and Heart Rates from the Correntropy Spectral Density of the Photoplethysmogram","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Children's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Photoplethysmogram; Pulse oximetry; Respiratory rate; Heart rate; Pulse (music); Biomedical engineering; Mathematics; Medicine; Computer science; Internal medicine; 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":[0.0008457663,0.0011771,0.0008723846,0.001192516,0.0001740454,0.0007639112,0.000806633,0.001003475,0.0009613594],"category_scores_gemma":[0.002939781,0.0001935993,0.0004932245,0.0005502913,0.0001626475,0.0003963229,0.0005175323,0.0005319503,0.0009981204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000243642,"about_ca_system_score_gemma":0.0003205045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003662027,"about_ca_topic_score_gemma":0.005895223,"domain_scores_codex":[0.9992605,0.0001276145,0.0000441842,0.0003032203,0.0001988442,0.00006563716],"domain_scores_gemma":[0.9993142,0.000265693,0.00008573383,0.0001010174,0.0002019309,0.00003147019],"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":[0.001281727,0.00055103,0.02621667,0.0008512186,0.0004753454,0.0004951478,0.0001521721,0.05550285,0.1007226,0.0007142119,0.01832289,0.794714],"study_design_scores_gemma":[0.0001587654,0.0006018177,0.1690944,0.0001217491,0.0002312458,0.001654809,0.0001692105,0.7457702,0.06870794,0.001394534,0.01193621,0.0001591645],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5901748,0.007150034,0.3781808,0.0004124762,0.0004785859,0.0005272446,0.008944028,0.007828424,0.006303622],"genre_scores_gemma":[0.7978604,0.001948804,0.1758726,0.0002461075,0.0002287468,0.0003341993,0.018937,0.0002575633,0.004314578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003662027,"threshold_uncertainty_score":0.007281423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447175275543933,"score_gpt":0.2106988868645067,"score_spread":0.1862271341090674,"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."}}