Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications-Reference-Cited by-同舟云学术

Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications

Published:2023 Issue: Volume: Page:1-10
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Ali Muhammad Umair¹^ORCID,Zafar Amad¹^ORCID,Kallu Karam Dad²,Masood Haris³,Mannan Malik Muhammad Naeem⁴,Ibrahim Malik Muhammad⁵^ORCID,Kim Sangil⁵,Khan Muhammad Attique⁶^ORCID

Affiliation:

1. Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, Republic of Korea

2. Department of Robotics & Artificial Intelligence (R&AI), School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST) H−12, Islamabad, Pakistan

3. Electrical Engineering Department, Wah Engineering College, University of Wah, Wah Cantt, Pakistan

4. School of Health Sciences and Social Works, Griffith Centre of Biomedical and Rehabilitation Engineering Gold Coast Campus, Griffith University, Queensland, Australia

5. Department of Mathematics, Pusan National University, Busan, Republic of Korea

6. Department of Computer Science, HITEC University Taxila, Taxila, Pakistan

Funder

National Research Foundation of Kore

Korea governmen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/6363502/10179221.pdf?arnumber=10179221

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