LEADER 03611nam 2201141z- 450 001 9910557354803321 005 20220111 035 $a(CKB)5400000000042342 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76753 035 $a(oapen)doab76753 035 $a(EXLCZ)995400000000042342 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIntelligent Biosignal Analysis Methods 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (256 p.) 311 08$a3-0365-1692-1 311 08$a3-0365-1691-3 330 $aThis book describes recent efforts in improving intelligent systems for automatic biosignal analysis. It focuses on machine learning and deep learning methods used for classification of different organism states and disorders based on biomedical signals such as EEG, ECG, HRV, and others. 606 $aInformation technology industries$2bicssc 610 $aaccelerometer 610 $aaccuracy 610 $aAlzheimer's disease 610 $aautonomic nervous system 610 $abrain functional connectivity 610 $aclassifiers 610 $aCNN 610 $aconvolution neural network (CNN) 610 $acovariate shift 610 $across-participant 610 $aDEAP 610 $adeep learning 610 $adisgust 610 $adrowsiness classification 610 $adrowsiness detection 610 $aEEG 610 $aEEG features 610 $aelectrocardiogram 610 $aelectrocardiography 610 $aelectroencephalogram (EEG) 610 $aelectroencephalography (EEG) 610 $aemotion 610 $aemotion recognition 610 $aemotional state 610 $aevent-centered data segmentation 610 $aeye blinks rate 610 $afall detection 610 $afatigue detection 610 $afeature extraction 610 $afeature selection 610 $afrequency band fusion 610 $agalvanic skin response 610 $aheart rate 610 $aindividual differences 610 $ainter-participant 610 $ainter-subject variability 610 $ak-fold validation 610 $amachine learning 610 $amental workload 610 $aMish 610 $amyocardial infarction 610 $an/a 610 $aneural network-based refinement 610 $anon-local attention mechanism 610 $anon-stationarity 610 $aolfactory training 610 $aoptimal shrinkage 610 $aphase-locked value (PLV) 610 $aphotoplethysmography (PPG) 610 $apsychophysics 610 $aresidual attention 610 $aresidual network 610 $asensitivity 610 $asignal quality index 610 $askin conductance level 610 $asleep stage scoring 610 $asleep staging 610 $asmell 610 $aspatial transformer networks 610 $astress 610 $asurgery image 610 $aT-end annotation 610 $atSQI 610 $awearable device 610 $awearable sensors 610 $awindow duration 610 $awine sensory analysis 615 7$aInformation technology industries 700 $aJovic?$b Alan$4edt$01285484 702 $aJovic?$b Alan$4oth 906 $aBOOK 912 $a9910557354803321 996 $aIntelligent Biosignal Analysis Methods$93019592 997 $aUNINA