Design and Development of an Automated Electroencephalogram Signal Processing and Diagnostic Support Architecture Employing Advanced Deep Learning Models for Early Accurate and Scalable Detection of Neurological Diseases.

Background and Purpose: Electroencephalogram (EEG) signals play a vital role in analyzing neurological activity and diagnosing various neurological disorders. With the rapid growth of the Internet of medical things (IoMT), EEG‐based diagnostic systems have become more interconnected and scalable. Ho...

Full description

Bibliographic Details

Published in:	Physiotherapy Research International Vol. 31; no. 2; pp. 1 - 10
Main Authors:	Thammuluri, Rajesh, Mathad, Rajeshwari S., Saibaba, CH. M. H., Nagababu, Kancharla, Koujalagi, Ashok, Soni, Mukesh
Format:	equations & formulas pictorial research tables/charts Journal Article
Published:	Wiley-Blackwell Apr2026
Online Access:	View this record in EBSCOhost