Narrow Results

The approach and results of extraction EEG wavelet spectra features and classification in this features space the early stages of posttraumatic epileptiform activity in experimental rats after brain injury, and Parkinson’s disease are described. Feature extraction method is based on wavelet spectrograms ridges, and local extrema points time– frequency distribution. Proposed methods and algorithms are used for post-traumatic epileptiform activity recognition in long durable EEG rat records before and after traumatic brain injury. Feature extraction and classification model of the early-stage Parkinson’s disease in EEG feature space can be applicable to disease risk group identification and screening.