Title: A survey on the automated computer-aided diagnosis of epilepsy seizure

Authors: Pankaj Kunekar; Mukesh Kumar Gupta; Pramod Gaur

Addresses: Swami Keshvanand Institute of Technology, Management and Gramothan (SKIT), Ram Nagariya Rd., Shivam Nagar, Jagatpura, Jaipur, Rajasthan, 302017, India ' Swami Keshvanand Institute of Technology, Management and Gramothan (SKIT), Ram Nagariya Rd., Shivam Nagar, Jagatpura, Jaipur, Rajasthan, 302017, India ' Birla Institute of Technology and Science (BITS), Dubai Campus, Academic City, Dubai, Pilani, 345055, United Arab Emirates

Abstract: Epilepsy, a life-threatening neurological disorder, necessitates early diagnosis and treatment to mitigate its risks. Neurologists detect epileptic seizures based on manual analysis of electroencephalography (EEG) signals. However, this manual approach is time-consuming, prone to errors due to human fatigue, and challenging for interpreting nonlinear, non-stationary data. This paper presents a comprehensive review of state-of-the-art automated computer-aided diagnosis techniques for early epilepsy seizure detection, focusing on advancements made to overcome the limitations. By synthesising existing research, this survey aims to pinpoint the current state of the field, shed light on its strengths and weaknesses, and identify promising directions for future research.

Keywords: computer-aided diagnosis; CAD; epilepsy; computerised tomography; CT; magnetic resonance imaging; MRI; positron emission tomography; PET.

DOI: 10.1504/IJMEI.2025.147597

International Journal of Medical Engineering and Informatics, 2025 Vol.17 No.4, pp.404 - 415

Received: 13 Jun 2023
Accepted: 17 Dec 2023
Published online: 24 Jul 2025 *

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