{"id":"W4391895167","doi":"10.1109/csrswtc60855.2023.10427085","title":"Heart Rate Detection for Radar via Wavelet Decomposition and Savitzky-Golay Filtering","year":2023,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Binary Golay code; Wavelet; Radar; Computer science; Radar detection; Radar signal processing; Artificial intelligence; Algorithm; Signal processing; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0001500993,0.0001232186,0.0001165212,0.0001200348,0.00009995641,0.00005170325,0.00003893302,0.0000556943,0.00000964948],"category_scores_gemma":[0.00001528674,0.0001327023,0.00004005309,0.0001858702,0.00001009333,0.0002001834,0.00002806052,0.00006981787,0.0000482753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006135078,"about_ca_system_score_gemma":0.000002563186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001695569,"about_ca_topic_score_gemma":0.00001676242,"domain_scores_codex":[0.9993849,0.00001267149,0.0001346853,0.0001595339,0.00006373452,0.0002444531],"domain_scores_gemma":[0.9996879,0.0001169864,0.00001118949,0.00009876864,0.00002095947,0.00006427364],"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":[0.000007910258,0.000002002668,0.0001187581,0.00007273878,0.00001366708,0.000002281967,0.00003484254,0.0007359571,0.9889919,0.00000835853,0.0001839669,0.009827618],"study_design_scores_gemma":[0.0002866268,0.00005619918,0.004988707,0.00002693426,0.000008164063,0.00001445375,0.00002775571,0.01757284,0.9754612,0.0004118874,0.0009634331,0.0001818377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7239342,0.00003142886,0.2740907,0.00003845431,0.0006552011,0.0002484493,0.000006651105,0.0007727331,0.0002222477],"genre_scores_gemma":[0.9920038,0.00001638318,0.007531858,0.0000182298,0.0002450725,0.00006272959,0.00001206746,0.00004558103,0.00006426212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2680697,"threshold_uncertainty_score":0.5411443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185262314754254,"score_gpt":0.2414739978618383,"score_spread":0.2296213747142958,"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."}}