{"id":"W2979986781","doi":"10.1109/embc.2019.8856340","title":"Feature Space Reduction for Single Trial EEG Classification based on Wavelet Decomposition","year":2019,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Pattern recognition (psychology); Artificial intelligence; Wavelet; Computer science; Electroencephalography; Riemannian manifold; Support vector machine; Feature vector; Signal processing; Dimensionality reduction; Feature extraction; Wavelet transform; Wavelet packet decomposition; Speech recognition; Mathematics; Digital signal processing; Psychology","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":[0.0005839552,0.0005021483,0.0008094338,0.0009204622,0.0001935305,0.0006584825,0.0005089095,0.0003960799,0.002414197],"category_scores_gemma":[0.001862901,0.0001525963,0.0009682389,0.001047224,0.0002165523,0.0005775694,0.0005188977,0.0007513343,0.0008694813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846373,"about_ca_system_score_gemma":0.0006197453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896473,"about_ca_topic_score_gemma":0.001243867,"domain_scores_codex":[0.9996768,0.00006003952,0.00002852096,0.00006603124,0.000120647,0.00004803491],"domain_scores_gemma":[0.9996036,0.0001561243,0.00003223737,0.00005508481,0.0001314101,0.00002154977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003053692,0.0001203351,0.001521881,0.00009902906,0.00006759342,0.00008218046,0.00008293575,0.05106859,0.02610068,0.003999949,0.003544355,0.9130071],"study_design_scores_gemma":[0.00001124367,0.0001039608,0.00243495,0.00001003459,0.00002341171,0.00007214761,0.00002735587,0.9881642,0.005034688,0.002826118,0.00127985,0.00001194544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05023782,0.0004025627,0.9472955,0.0001446925,0.0000470751,0.00007132989,0.0002421734,0.0007567453,0.0008019792],"genre_scores_gemma":[0.5188245,0.0006045018,0.4758049,0.00008251445,0.00007310598,0.000282841,0.001549451,0.0001637753,0.002614487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002414197,"threshold_uncertainty_score":0.00807631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445617080846658,"score_gpt":0.304808816978785,"score_spread":0.2602471088941192,"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."}}