Machine Learning Modelling of EEG Bio Signals Using Motor Imagery-Reference-Cited by-同舟云学术

Machine Learning Modelling of EEG Bio Signals Using Motor Imagery

Published:2024-06-06 Issue: Volume:5 Page:274-278
ISSN:
Container-title:2024 International Conference on Smart Computing, IoT and Machine Learning (SIML)
language:
Short-container-title:

Author:

Ajak Benjo Mabil¹,Elamvazuthi Irraivan¹,Aziz Azrina A¹,Naicker Amaramalar Selvi²,Soong Khoo Ching³,Manan Hanani Abdul⁴,Natarajan Elango⁵

Affiliation:

1. Universiti Teknologi PETRONAS,Smart Assistive and Rehabilitative Technology (SMART) Research Group,Department of Electrical and Electronic Engineering,Bandar Seri Iskandar,Malaysia,32610

2. Universiti Kebangsaan Malaysia,Rehabilitation Medicine Unit Department of Orthopaedics & Traumatology Faculty of Medicine,Cheras,Kuala Lumpur,Malaysia,56000

3. Universiti Kebangsaan Malaysia Medical Centre,Neurology Unit Department of Medicine Faculty of Medicine,Cheras,Kuala Lumpur,Malaysia,56000

4. Universiti Kebangsaan Malaysia,Makmal Pemprosesan Imej Kefungsian (Functional Image Processing Lab) Department of Radiology Faculty of Medicine,Cheras,Kuala Lumpur,Malaysia,56000

5. UCSI University,Faculty of Engineering, Technology and Built Environment,Cheras,Kuala Lumpur,Malaysia,56000

Funder

Ministry of Higher Education

PETRONAS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577996/10578073/10578270.pdf?arnumber=10578270

Reference18 articles.

1. Classification of Motor Imagery EEG Signals Using Machine Learning

2. Brain-machine interfaces for rehabilitation in stroke: A review

3. EEG Source Imaging: A Practical Review of the Analysis Steps

4. Data Acquisition Methods for Human Brain Activity

5. Solving Engineering Optimization Problems with the Karush-Kuhn-Tucker Hopfield Neural Networks;Andrew,2011