Feature analysis for the blind-watermarked electroencephalogram signal in wireless telemonitoring using Alattar's method

Abstract

The present medical era has seen quite a considerable amount of work been done in tele-monitoring that involves transmission of biomedical signals through wireless media. Exchange of information amongst various hospital systems and medical centers require high level of reliability and security. Signal integrity can be verified, authenticity and achieved control over the copy process can be proved by adding watermark in the original information as multimedia content. Electroencephalography (EEG) is a medical test that records the electrical activity originating from the brain. In this present work, Alattar's Method is used for watermark insertion and extraction in an EEG signal without devalorizing its diagnostic parameters. In the second part of the paper, different features in the time domain and the spatial domain are obtained from the original EEG signal, watermarked EEG signal, and the recovered EEG signal.