Biosignals: acquisition and general properties -- Extraction of ECG characteristics using source separation techniques -- ECG processing for exercise test -- Newborn Seizure Detection Using both the ECG and EEG via the Heart Rate Variability Time-Frequency Analysis -- From EEG signals to brain connectivity: methods and applications in epilepsy -- Neural Network approaches for EEG classification -- Analysis of event-related potentials using wavelet networks -- Detection of evoked potentials -- Visual Evoked Potential Analysis Using Adaptive Chirplet Transform -- EMG analysis: time-frequency based techniques -- Pattern Classification Techniques for EMG Decomposition -- Parametrical modeling of some biosignals using optimization metaheuristics -- Nonlinear analysis of physiological time series -- Biomedical data processing using HHT: a review -- Multimodal compression of biomedical data
Summary
Presents the principle of many advanced biosignal processing techniques. This title introduces the main biosignal properties and the acquisition techniques. It concerns one of the most intensively used biosignals in the clinical routine, namely the Electrocardiogram, the Elektroenzephalogram, the Electromyogram and the Evoked Potential
