{"id":"W3088806060","doi":"10.1002/itl2.230","title":"Wearable sensors for smart abnormal heart rate detection during skiing","year":2020,"lang":"en","type":"article","venue":"Internet Technology Letters","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Hilbert–Huang transform; Heart rate variability; Wearable computer; SIGNAL (programming language); Heart rate; Computer science; Outlier; Ballistocardiography; Artificial intelligence; Medicine; Computer vision; Cardiology; Internal medicine; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000201677,0.0004574563,0.0004108648,0.0004620084,0.0001108753,0.000361553,0.0002696966,0.0004470017,0.002180167],"category_scores_gemma":[0.0006377216,0.0001436726,0.0002158199,0.0004102976,0.0001046721,0.0003092722,0.0002801779,0.0002460094,0.0008352256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000855149,"about_ca_system_score_gemma":0.00008653925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002378039,"about_ca_topic_score_gemma":0.0005493012,"domain_scores_codex":[0.9997264,0.00005871479,0.0000199763,0.00005523751,0.0001205778,0.000019054],"domain_scores_gemma":[0.9997788,0.00006335349,0.00004953475,0.00002790353,0.00006583626,0.00001456793],"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":[0.0008806016,0.0001839224,0.01344191,0.001029375,0.000100317,0.0004662709,0.0001991708,0.002452373,0.6414239,0.0006183375,0.005062702,0.3341411],"study_design_scores_gemma":[0.0002225472,0.00440007,0.2646638,0.0005642266,0.00054669,0.005701551,0.0005319049,0.1763941,0.4961085,0.002908234,0.04772053,0.0002378191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3987378,0.009872635,0.5724348,0.00052223,0.0009193251,0.0003407019,0.001957359,0.004006098,0.01120885],"genre_scores_gemma":[0.9237805,0.002475532,0.06620093,0.0003414513,0.0002065848,0.0001859759,0.0005797557,0.00007515239,0.006153986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002180167,"threshold_uncertainty_score":0.007293344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007978712881632141,"score_gpt":0.1940657269394945,"score_spread":0.1860870140578624,"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."}}