Classification of Electroencephalography Bio Signals Based on Motor Imagery-Reference-Cited by-同舟云学术

Classification of Electroencephalography Bio Signals Based on Motor Imagery

Published:2024-05-23 Issue: Volume:5 Page:91-96
ISSN:
Container-title:2024 International Conference on Computational Intelligence and Computing Applications (ICCICA)
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Author:

Balachandran Rashika¹,Elamvazuthi Irraivan¹,Aziz Azrina A¹,Selvi Naicker Amaramalar²,Soong Khoo Ching³,Abdul Manan Hanani⁴,Natarajan Elango⁵,Lakhina Upasana⁶

Affiliation:

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

2. Faculty of Medicine, University, Kebangsaan Malaysia,Rehabilitation Medicine Unit,Department of Orthopaedics & Traumatology,Malaysia

3. Faculty of Medicine, University Kebangsaan Malaysia Medical Centre,Neurology Unit,Department of Medicine,Kuala Lumpur,Malaysia

4. University Kebangsaan Malaysia Medical Centre,Makmal Pemprosesan Imej Kefungsian (Functional Image Processing Laboratory),Department of Radiology,Kuala Lumpur,Malaysia,56000

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

6. Panipat Institute of Engineering and Technology,Haryana,India

Funder

Ministry of Higher Education

PETRONAS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10584831/10584583/10584959.pdf?arnumber=10584959

Reference27 articles.

1. Classification of Motor Imagery EEG Signals Using Machine Learning

2. BCI for stroke rehabilitation: motor and beyond

3. Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis

4. Performance Investigation of Brain-Computer Interfaces that Combine EEG and fNIRS for Motor Imagery Tasks

5. Data Acquisition Methods for Human Brain Activity