Cerebral disorders diagnosis via a secure transmission of multichannel EEG signal based on IoMT

Abstract

Electroencephalogram (EEG) data require a wider storage device setup due to its constant brainwave intensity logs and biosignal parameter. Therefore, effective compression systems are utilized before sending these signals to a medical station such as hospitals and therapy centres or through mobile medical instruments as one of the Internet medical things (IoMT) tools for real-time surveillance and analysis by specialists and anywhere. Conventional compression techniques can improve storage efficiency and help quickly transfer medical data from one computer to another because of their limited size. In addition, the received EEG (MCh-EEG) data are processed using various filtering methods to remove undesired noise and then compressed. The proposed method, which utilized buffer blocks, which is quite new in this field, was proposed. The smooth and safe transmission process