Signal Processing Using Non-invasive Physiological Sensors


English[eng]

9783040000000


movement intention||brain–computer interface||movement-related cortical potential||neurorehabilitation||phonocardiogram||machine learning||empirical mode decomposition||feature extraction||mel-frequency cepstral coefficients||support vector machines||computer aided diagnosis||congenital heart disease||statistical analysis||convolutional neural network (CNN)||long short-term memory (LSTM)||emotion recognition||EEG||ECG||GSR||deep neural network||physiological signals||electroencephalography||Brain-Computer Interface||multiscale principal component analysis||successive decomposition index||motor imagery||mental imagery||classification||hybrid brain-computer interface (BCI)||home automation||electroencephalogram (EEG)||steady-state visually evoked potential (SSVEP)||eye blink||short-time Fourier transform (STFT)||convolution neural network (CNN)||human machine interface (HMI)||rehabilitation||wheelchair||quadriplegia||Raspberry Pi||image gradient||AMR voice||Open-CV||image processing||acoustic||startle||reaction||response||reflex||blink||mobile||sound||stroke||EMG||brain-computer interface||myoelectric control||pattern recognition||functional near-infrared spectroscopy||z-score method||channel selection||region of interest||channel of interest||respiratory rate (RR)||Electrocardiogram (ECG)||ECG derived respiration (EDR)||auscultation sites||pulse plethysmograph||biomedical signal processing||feature selection and reduction||discrete wavelet transform||hypertension