{"id":"W2972804469","doi":"","title":"Experimental study on the phase analysis of FMCW radar for vital signs detection","year":2019,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Continuous-wave radar; Radar; Computer science; Radar systems; Waveform; Phase (matter); Bedroom; Radar tracker; Radar engineering details; Breathing; Electronic engineering; Real-time computing; Remote sensing; Radar imaging; Telecommunications; Engineering; Geography; 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":[0.001196962,0.0004991885,0.0003479639,0.0004304071,0.0002548849,0.0004396582,0.0004703,0.0008033182,0.003094841],"category_scores_gemma":[0.003360425,0.0001456376,0.0002110249,0.0002796174,0.0004217421,0.000701556,0.0004111759,0.0003616263,0.0008351862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086619,"about_ca_system_score_gemma":0.0001596348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001444181,"about_ca_topic_score_gemma":0.0001204068,"domain_scores_codex":[0.9992322,0.0002658395,0.0000353897,0.0001540143,0.0002399627,0.00007265818],"domain_scores_gemma":[0.9985858,0.0006477204,0.0001053874,0.0001599264,0.0004349692,0.00006618211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008811136,0.0003612557,0.001262702,0.000364228,0.00003738989,0.0001382671,0.0002284379,0.002071552,0.8955216,0.001152704,0.0006411693,0.09733958],"study_design_scores_gemma":[0.0001966787,0.007298557,0.01009101,0.0001037216,0.0001637787,0.001277062,0.0002559656,0.05186561,0.9176921,0.001326602,0.009645248,0.00008357465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5821201,0.001326382,0.4089499,0.0003603274,0.0004778163,0.0002577028,0.0002248619,0.0009291323,0.005353813],"genre_scores_gemma":[0.8942483,0.0008082693,0.1007341,0.0001968319,0.0001233803,0.000122585,0.0002414984,0.0001211537,0.003403918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003094841,"threshold_uncertainty_score":0.01035333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04052087770582884,"score_gpt":0.2736629433548136,"score_spread":0.2331420656489847,"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."}}