Wavelet Decomposition and Feedforward Neural Network for Classification of Acute Ischemic Stroke based on Electroencephalography

Wavelet Decomposition and Feedforward Neural Network for Classification of Acute Ischemic Stroke based on Electroencephalography

Stroke is one of the leading causes of death in Indonesia. From 2013 to 2018, the prevalence of stroke increased from 7% to 10.9%. There are two types of strokes, namely Hemorrhagic and Acutte Ischemic Stroke (AIS) with the majority of it being AIS. Early detection and diagnosis are essential in...

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Bibliographic Details
Main Authors: Annisaa Fitri Nurfirdausi, Ratna Aditya Apsari, Sastra Kusuma Wijaya, Prawito Prajitno, Nurhadi Ibrahim
Format: Article
Language:English
Published: Universitas Indonesia 2022-12-01
Series:International Journal of Technology
Subjects:
acute ischemic stroke (ais)
electroencephalography (eeg)
epoch length
feedforward neural network (fnn)
wavelet decomposition
Online Access:https://ijtech.eng.ui.ac.id/article/view/6132

Internet

https://ijtech.eng.ui.ac.id/article/view/6132

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