Download the fantastic book titled EEG SIGNAL PROCESSING A Machine Learning Based Framework written by R. John Martin, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "EEG SIGNAL PROCESSING A Machine Learning Based Framework", which was released on 31 January 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Art genre.
Summary of EEG SIGNAL PROCESSING A Machine Learning Based Framework by R. John Martin PDF
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.
Detail About EEG SIGNAL PROCESSING A Machine Learning Based Framework PDF
- Author : R. John Martin
- Publisher : Ashok Yakkaldevi
- Genre : Art
- Total Pages : 139 pages
- ISBN : 1678180068
- Release Date : 31 January 2022
- PDF File Size : 9,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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