FPGA-Based Implementation for Real-Time Epileptic EEG Classification Using Hjorth Descriptor and KNN
The EEG is one of the main medical instruments used by clinicians in the analysis and diagnosis of epilepsy through visual observations or computers. Visual inspection is difficult, time-consuming, and cannot be conducted in real time. Therefore, we propose a digital system for the classification of...
Main Authors: | Achmad Rizal, Sugondo Hadiyoso, Ahmad Zaky Ramdani |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/19/3026 |
Similar Items
-
Multiscale Hjorth Descriptor on Epileptic EEG Classification
by: Achmad Rizal, et al.
Published: (2023-01-01) -
Real-Time Localization of Epileptogenic Foci EEG Signals: An FPGA-Based Implementation
by: Jose V. Frances-Villora, et al.
Published: (2020-01-01) -
ROLE OF VIDEO-EEG OF MONITORING IN DIAGNOSTIC EPILEPTIC AND NOT EPILEPTIC PAROXYSMAL STATES AT CHILDREN
by: V. I. Guzeva, et al.
Published: (2016-08-01) -
PATHOLOGICAL SIGNS OF EPILEPTIC AND NON-EPILEPTIC ORIGIN DETECTED IN AWAKE/SLEEP EEG PATTERNS DURING OUTPATIENT AND INPATIENT MONITORING: PROBLEMS OF INTERPRETATION
by: V. V. Gnezditskiy, et al.
Published: (2017-08-01) -
Epileptic Seizure Detection and Prediction in EEGs Using Power Spectra Density Parameterization
by: Shan Liu, et al.
Published: (2023-01-01)