EEG SIGNAL PROCESSING: A Machine Learning Based Framework

Download or read book EEG SIGNAL PROCESSING: A Machine Learning Based Framework written by R. John Martin and published by Ashok Yakkaldevi. This book was released on 2022-01-31 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1.1 Motivation Analysis of non-stationary and non-linear nature of signal data is the prime talk in signal processing domain today. On employing biomedical equipments huge volume of physiological data is acquired for analysis and diagnostic purposes. Inferring certain decisions from these signals by manual observation is quite tedious due to artefacts and its time series nature. As large volume of data involved in biomedical signal processing, adopting suitable computational methods is important for analysis. Data Science provides space for processing these signals through machine learning approaches. Many more biomedical signal processing implementations are in place using machine learning methods. This is the inspiration in adopting machine learning approach for analysing EEG signal data for epileptic seizure detection.