Intelligent Biosignal Analysis Methods 

<br/><br/><br/>English[eng] 
<br/><br/><label>ISBN: </label>9783040000000 
<br/><br/><label>Subjects--Topical Terms: </label><br/>sleep stage scoring||neural network-based refinement||residual attention||T-end annotation||signal quality index||tSQI||optimal shrinkage||emotion||EEG||DEAP||CNN||surgery image||disgust||autonomic nervous system||electrocardiogram||galvanic skin response||olfactory training||psychophysics||smell||wearable sensors||wine sensory analysis||accuracy||convolution neural network (CNN)||classifiers||electrocardiography||k-fold validation||myocardial infarction||sensitivity||sleep staging||electroencephalography (EEG)||brain functional connectivity||frequency band fusion||phase-locked value (PLV)||wearable device||emotional state||mental workload||stress||heart rate||eye blinks rate||skin conductance level||emotion recognition||electroencephalogram (EEG)||photoplethysmography (PPG)||machine learning||feature extraction||feature selection||deep learning||non-stationarity||individual differences||inter-subject variability||covariate shift||cross-participant||inter-participant||drowsiness detection||EEG features||drowsiness classification||fatigue detection||residual network||Mish||spatial transformer networks||non-local attention mechanism||Alzheimer’s disease||fall detection||event-centered data segmentation||accelerometer||window duration||n/a