Wednesday 1st of May 2024
 

A Filtering Approach to Clean EEG Signal Based on EMD-DF to Improve Classification Accuracy during Hands Movement


Sanjoy Kumar Saha, Sujan Ali, Jannatul Ferdous, Somlal Das and Sumon Kumar Debnath

In this research, we present a filtering method for cleaning the EEG signal based on empirical mode decomposition (EMD) to enhance classification accuracy associated with upper limb real movement. In our method, we decompose each channel of EEG signals into a set of IMFs using EMD. We select or reject IMFs based on a calculation of dominant frequency of every IMF. In this procedure, we reject some IMFs whose dominant frequency greater than 30Hz. After reconstruction of the signal, we apply common spatial patterns to reduce the dimension as well as find out features of the signal and then we use support vector machines to classify left hand and right hand movement. Our paper demonstrates that the proposed method successfully extract features from row EEG signal that carries more information by filter out irrelative information. Our method tested on a publicly available dataset and obtained a significantly better performance.

Keywords: Brain computer interface, Empirical mode decomposition, Dominant frequency analysis, Common spatial pattern and Support vector machines.

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ABOUT THE AUTHORS

Sanjoy Kumar Saha
Sanjoy Kumar Saha has received his B.Sc.(Hons.) and M.Sc. degree in Computer Science & Engineering from Rajshahi University, Rajshahi, Bangladesh in 2014 and 2015. Currently he works as a lecturer at the dept. of Computer Science & Engineering in Begum Rokeya University, Rangpur, Bangladesh.His major research focuses on the brain computer interfacing, biomedical engineering and digital signals processing.

Sujan Ali
Sujan Ali completed his B.Sc. and M.Sc. from the department of Electrical & Electronics Engineering, Islamic University, Kushtia, Bangladesh. Currently he is an associate professor of Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh. He is interested in EEG signal processing & digital image processing.

Jannatul Ferdous
Jannatul Ferdous obtained her B.Sc. and M.Sc. degree in Electrical & Electronics Engineering from Islamic University, Kushtia, Bangladesh. He is a faculty of computer science & engineering, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh. Her current research interest includes EEG signal processing and digital signal processing.

Somlal Das
Somlal Das has earned his B.Sc.(Hons.) and M.Sc. degree in Applied Physics & Electrical Engineering from Rajshahi University. He also received his PhD degree from Rajshahi University. Now he is a professor of Computer Science & Engineering in Rajshahi University. His research interest is digital signal processing.

Sumon Kumar Debnath
Sumon Kumar Debnath completed his B.Sc. and M.Sc. degree in Information & Communication Engineering from Rajshahi University, Bangladesh. He obtained his PhD degree from Okayama University, Japan in distributed system design. Now he is a faculty of dept. Electrical & Electronic Engineering, Begum Rokeya University, Bangladesh. His research interests are ad-hoc networks, MIMO and audio signal processing


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