Energy efficient FPGA implementation of an epileptic seizure detection system using a QDA classifier-Reference-Cited by-同舟云学术

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Energy efficient FPGA implementation of an epileptic seizure detection system using a QDA classifier

Published:2024-09 Issue: Volume:249 Page:123755
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Alam Md Shamshad,Khan Umamah^ORCID,Hasan Mohd^ORCID,Farooq Omar^ORCID

Publisher

Elsevier BV

Reference30 articles.

1. Field programmable gate array-based energy-efficient and fast epileptic seizure detection using support vector machine and quadratic discriminant analysis classifier;Alam;Engineering Reports,2023

2. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state;Andrzejak;Physical Review E,2001

3. Automatic seizure detection using inter quartile range;Bediuzzaman;International Journal of Computer Applications,2012

4. Accuracy enhancement of epileptic seizure detection: A deep learning approach with hardware realization of STFT;Beeraka;Circuits, Systems, and Signal Processing,2022

5. Real-time epileptic seizure prediction using AR models and support vector machines;Chisci;IEEE Transactions on Bio-Medical Engineering,2010

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