{"id":"W4384158808","doi":"10.1109/i2mtc53148.2023.10175960","title":"Acquiring Photoplethysmography (PPG) Signal Without LED","year":2023,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Photoplethysmogram; Photodiode; Wearable computer; SIGNAL (programming language); Computer science; Microprocessor; Context (archaeology); Battery (electricity); Light-emitting diode; Wearable technology; Power (physics); Real-time computing; Electronic engineering; Artificial intelligence; Embedded system; Electrical engineering; Materials science; Engineering; Wireless; Telecommunications; Optoelectronics; Physics","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":[0.0002038885,0.0003322512,0.0003971182,0.000270531,0.0001643245,0.0004203291,0.0004991964,0.0005186754,0.002106674],"category_scores_gemma":[0.000745111,0.0001733764,0.0001867986,0.0002520608,0.0001617149,0.0004974647,0.0003340467,0.0002403606,0.0007629272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000895304,"about_ca_system_score_gemma":0.0001861446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002395614,"about_ca_topic_score_gemma":0.0005664871,"domain_scores_codex":[0.9997471,0.00003846817,0.00001889607,0.00009258447,0.00008592522,0.00001694658],"domain_scores_gemma":[0.9997259,0.00010305,0.00003931242,0.00004890354,0.00006633518,0.0000164584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002529836,0.00009785633,0.003512926,0.0003506333,0.00003757269,0.0001826313,0.00006767362,0.0002985559,0.905544,0.0001768308,0.0008003829,0.08867786],"study_design_scores_gemma":[0.00008732637,0.001215445,0.06551586,0.00006893225,0.000171643,0.002971173,0.00010255,0.01900901,0.900146,0.0004794032,0.01016445,0.00006813221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4938494,0.001503017,0.4948103,0.0002713609,0.000283994,0.0003768623,0.000677902,0.002887483,0.005339598],"genre_scores_gemma":[0.827438,0.001032944,0.1635378,0.0005197469,0.0001852041,0.0002818078,0.0005747625,0.0001561677,0.006273561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002106674,"threshold_uncertainty_score":0.007047474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195404855148443,"score_gpt":0.225521648152278,"score_spread":0.2135675996007936,"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."}}