Hardware Acceleration of High Sensitivity Power-Aware Epileptic Seizure Detection System Using Dynamic Partial Reconfiguration

Hardware Acceleration of High Sensitivity Power-Aware Epileptic Seizure Detection System Using Dynamic Partial Reconfiguration

In this paper, a high-sensitivity low-cost power-aware Support Vector Machine (SVM) training and classification based system, is hardware implemented for a neural seizure detection application. The training accelerator algorithm, adopted in this work, is the sequential minimal optimization (SMO). Sy...

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Bibliographic Details
Main Authors: Heba Elhosary, Michael H. Zakhari, Mohamed A. Elgammal, Khaled A. Helal Kelany, Mohamed A. Abd El Ghany, Khaled N. Salama, Hassan Mostafa
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Low power
support vector machine (SVM)
sequential minimal optimization (SMO)
accelerator IP
feature extraction
classification
Online Access:https://ieeexplore.ieee.org/document/9427493/

Internet

https://ieeexplore.ieee.org/document/9427493/

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