{"id":"W2904235023","doi":"10.1109/icsict.2018.8565641","title":"Design of a low electrode offset and high CMRR instrumentation amplifier for ECG acquisition systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Food Inspection Agency; National Science Foundation","keywords":"Instrumentation amplifier; Common-mode rejection ratio; Input offset voltage; Electronic engineering; Electrical engineering; Operational amplifier; DC bias; Operational transconductance amplifier; Offset (computer science); Amplifier; CMOS; Engineering; Computer science; Voltage","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004522575,0.000682659,0.0005147907,0.0005883738,0.0005117871,0.0007994663,0.00222425,0.000984747,0.003244788],"category_scores_gemma":[0.0006551716,0.0003632341,0.0003804764,0.0003447214,0.0002258529,0.0008429973,0.0004459721,0.0005468891,0.001863848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005125944,"about_ca_system_score_gemma":0.0006377621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006217438,"about_ca_topic_score_gemma":0.0008119352,"domain_scores_codex":[0.9991313,0.0000979751,0.00007025837,0.0002419259,0.0003843251,0.00007421294],"domain_scores_gemma":[0.9994368,0.00007744895,0.00006758619,0.0000429954,0.0003323788,0.0000428161],"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":[0.0003362418,0.0001330687,0.002213598,0.0006899313,0.0001284056,0.0005433187,0.0002631616,0.002723995,0.7359539,0.005398534,0.006560038,0.2450558],"study_design_scores_gemma":[0.0002678634,0.004974387,0.008031567,0.0002267568,0.000538651,0.009996947,0.0001482341,0.1565862,0.6932563,0.00180361,0.1239507,0.0002186442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02338529,0.001091407,0.9641431,0.0005023319,0.000406247,0.0003838991,0.0001743543,0.004029377,0.005883966],"genre_scores_gemma":[0.5245252,0.0008742907,0.4626835,0.001069259,0.0005345861,0.0003700414,0.0003472645,0.0001561704,0.009439559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003244788,"threshold_uncertainty_score":0.0108549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251883610117369,"score_gpt":0.211874097665724,"score_spread":0.1993552615645504,"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."}}