Читать книгу EEG Signal Processing and Machine Learning - Saeid Sanei - Страница 37

In this chapter the formation of EEG signals have been briefly explained. The conventional measurement setups for EEG recording and the brain rhythms present in normal or abnormal EEGs have also been described. In addition, the effects of popular brain abnormalities such as mental diseases, ageing, and epileptic and nonepileptic attacks have been pointed out. Despite the known neurological, physiological, pathological, and mental abnormalities of the brain mentioned in this chapter, there are many other brain disorders and dysfunctions which may or may not manifest some kinds of abnormalities in the related EEG signals.

Sleep, fatigue, ageing, emotions and many other states of the human body can directly or indirectly manifest themselves in the EEG patterns. Neurodevelopmental disorders, particularly those with human behaviour have become attractive areas of research as they are associated with child personality development.

Degenerative disorders of the CNS [70, 71] such as a variety of lysosomal disorders, several peroxisomal disorders, a number of mitochondrial disorders, inborn disturbances of the urea cycle, many aminoacidurias, and other metabolic and degenerative diseases as well as chromosomal aberrations have to be evaluated and their symptoms correlated with the changes in the EEG patterns. The similarities and differences within the EEGs of these diseases have to be well understood. Conversely, the developed mathematical algorithms need to take the clinical observations and findings into account to further enhance the outcome of such processing. Although a number of technical methods have been well established for the processing of the EEGs with relation to the above abnormalities, there is still a long way to go and many questions to be answered.

The following chapters of this book introduce new digital signal processing and machine learning techniques employed mainly for analysis of EEG signals followed by a number of examples in the applications of such methods.