Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis

Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis

<p dir="ltr">Physiological signal measurement and processing are increasingly becoming popular in the ambulatory setting as the hospital-centric treatment is moving towards wearable and ubiquitous monitoring. Most of the physiological signals are highly susceptible to various types o...

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Bibliographic Details
Main Author: Md. Shafayet Hossain (16888833) (author)
Other Authors: Mamun Bin Ibne Reaz (16875933) (author), Muhammad E. H. Chowdhury (14150526) (author), Sawal H. M. Ali (16896501) (author), Ahmad Ashrif A. Bakar (16904889) (author), Serkan Kiranyaz (3762058) (author), Amith Khandakar (14151981) (author), Mohammed Alhatou (14777758) (author), Rumana Habib (16904892) (author)
Published: 2022
Subjects:
Engineering
Biomedical engineering
Communications engineering
Electroencephalography
Functional near-infrared spectroscopy
Motion artifacts
Principal component analysis
Mathematical models
Multiresolution analysis
Filtering algorithms
electroencephalogram (EEG)
variational mode decomposition (VMD)
canonical correlation analysis (CCA)
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