A novel approach for communicating with patients suffering from completely locked-in-syndrome (CLIS) via thoughts: Brain computer interface system using EEG signals and artificial intelligence

A novel approach for communicating with patients suffering from completely locked-in-syndrome (CLIS) via thoughts: Brain computer interface system using EEG signals and artificial intelligence

This paper investigates the development of an intelligent system method to address completely locked-in-syndrome (CLIS) that is caused by some illnesses such as Amyotrophic Lateral Sclerosis (ALS) as the most predominant type of Motor Neuron Disease (MND). In the last stages of ALS and despite the l...

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Bibliographic Details
Main Authors: Sharmila Majumdar, Amin Al-Habaibeh, Ahmet Omurtag, Bubaker Shakmak, Maryam Asrar
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Neuroscience Informatics
Subjects:
Brain
CLIS
EEG
Feature extraction
ASPS
ANN
Online Access:http://www.sciencedirect.com/science/article/pii/S2772528623000110

Internet

http://www.sciencedirect.com/science/article/pii/S2772528623000110

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