{"id":"W4307426964","doi":"10.1089/tmj.2022.0182","title":"The Accuracy of Wearable Photoplethysmography Sensors for Telehealth Monitoring: A Scoping Review","year":2022,"lang":"en","type":"review","venue":"Telemedicine Journal and e-Health","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Photoplethysmogram; CINAHL; Wearable computer; Medicine; MEDLINE; Wearable technology; Telemedicine; Telehealth; Population; Intensive care medicine; Medical emergency; Computer science; Health care; Psychological intervention; Telecommunications; Wireless; Embedded system; Nursing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004579537,0.0005358849,0.002767634,0.0003485497,0.0009680666,0.00005135259,0.0004635905,0.00009529737,0.00003412757],"category_scores_gemma":[0.0004186164,0.0003529253,0.0005230405,0.0008080081,0.00008381408,0.0001153613,0.00008985202,0.001528896,0.000001328112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004132612,"about_ca_system_score_gemma":0.001053078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006043439,"about_ca_topic_score_gemma":0.000006031316,"domain_scores_codex":[0.9956536,0.0002897277,0.002230318,0.0003045739,0.0006128676,0.0009088963],"domain_scores_gemma":[0.9958445,0.001687863,0.001517683,0.0003637622,0.00009267346,0.0004934639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002955563,0.00001053591,0.00001583238,0.2634108,0.000136487,0.000004511066,0.00008002143,0.000003374831,0.000002044636,0.000005353626,0.00383603,0.732492],"study_design_scores_gemma":[0.0002604719,0.0003960358,0.00000328605,0.3962004,0.0001626101,0.0003453791,0.0001477472,0.000001919225,0.000004836153,0.00003847439,0.6022218,0.0002169385],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001065964,0.9938056,0.0001607437,0.0005472775,0.002101725,0.003217197,0.00002491825,0.00007416395,0.00005774195],"genre_scores_gemma":[0.00001130127,0.9971622,0.0005821701,0.000117627,0.001661797,0.0003095153,0.00001171789,0.0001203791,0.00002327929],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7322751,"threshold_uncertainty_score":0.9998923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09402204721463868,"score_gpt":0.3906199241510762,"score_spread":0.2965978769364375,"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."}}