EMD and VMD in Pre-Movement EEG Signal Analysis: A Hybrid Mode Selection to Classify Upper Limb Complex Movements Using Statistical Features-Reference-Cited by-同舟云学术

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EMD and VMD in Pre-Movement EEG Signal Analysis: A Hybrid Mode Selection to Classify Upper Limb Complex Movements Using Statistical Features

Published:2023-12-04 Issue: Volume:62 Page:194-199
ISSN:
Container-title:2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET)
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Author:

Khalid Beenish¹,Hassan Ali¹,Munir Ehsan Ullah²,Niazi Imran Khan³

Affiliation:

1. College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST),Dept. of Computer and Software Engineering,Islamabad,Pakistan

2. COMSATS University Islamabad,Dept. of Computer Science,Pakistan

3. College of Chiropractic,Centre of Chiropractic Research,Auckland,New Zealand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10374477/10374486/10374838.pdf?arnumber=10374838

Reference30 articles.

1. A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting

2. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

3. Variational mode decomposition;Zosso;IEEE Transactions on Signal Processing,2013

4. Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns

5. Motor imagery and direct brain-computer communication

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