Automatic Eyeblink and Muscular Artifact Detection and Removal From EEG Signals Using k-Nearest Neighbor Classifier and Long Short-Term Memory Networks-Reference-Cited by-同舟云学术

Automatic Eyeblink and Muscular Artifact Detection and Removal From EEG Signals Using k-Nearest Neighbor Classifier and Long Short-Term Memory Networks

Published:2023-03-01 Issue:5 Volume:23 Page:5422-5436
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Ghosh Rajdeep¹^ORCID,Phadikar Souvik²^ORCID,Deb Nabamita³^ORCID,Sinha Nidul⁴,Das Pranesh⁵,Ghaderpour Ebrahim⁶^ORCID

Affiliation:

1. School of Computing Sciences and Engineering, VIT Bhopal University, Bhopal, Madhya Pradesh, India

2. Neurology Department, University of Wisconsin-Madison, Madison, WI, USA

3. Information Technology Department, Gauhati University, Guwahati, Assam, India

4. Department of Electrical Engineering, National Institute of Technology Silchar, Silchar, Assam, India

5. Department of Computer Science and Engineering, National Institute of Technology Calicut, Kozhikode, India

6. Department of Earth Sciences, Sapienza University of Rome, Rome, Italy

Funder

NPIU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10056596/10024961.pdf?arnumber=10024961

Reference42 articles.

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3. Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder

4. An introduction to kernel and nearest-neighbor nonparametric regression;altman;Amer Statist,2012

5. Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics

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