Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis

Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis

The electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals, highly non-stationary in nature, greatly suffers from motion artifacts while recorded using wearable sensors. Since successful detection of various neurological and neuromuscular disorders is greatly dependent...

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Bibliographic Details
Main Authors: Md Shafayet Hossain, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib, Muhammad Maqsud Hossain
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
motion artifact
electroencephalogram (EEG)
functional near-infrared spectroscopy (fNIRS)
wavelet packet decomposition (WPD)
canonical correlation analysis (CCA)
Online Access:https://www.mdpi.com/1424-8220/22/9/3169

Internet

https://www.mdpi.com/1424-8220/22/9/3169

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