Iranian Journal of Biomedical Engineering (IJBME)
نشریه علمی مهندسی پزشکی زیستی

Designing Spectral and Spatial Filters Simultaneously for Brain-Computer Interface Based on Mutual Information and Particle Swarm Optimization

Document Type : Full Research Paper

Authors

Reza Foodeh 1
Vahid Shalchyan 2
Mohammad Reza Daliri 3

1 Ph.D Student, Biomedical Engineering Department, Electrical Engineering Faculty, Iran university of Science and Technology, Tehran, Iran

2 Assistant Professor, Biomedical Engineering Department, Electrical Engineering Faculty, Iran university of Science and Technology, Tehran, Iran

3 Associate Professor, Biomedical Engineering Department, Electrical Engineering Faculty, Iran university of Science and Technology

https://doi.org/10.22041/ijbme.2017.72918.1271
Abstract
Extracting discriminative features is a crucial step in brain-computer interfaces (BCIs) that could affect directly on the classification performance. Common spatial patterns (CSP) is a commonly used algorithm for such propose in motor imagery based BCI systems. CPS tries to extract the most appropriate spatial patterns in the electroencephalogram (EEG) signals to discriminate different motor imagery classes. Before applying CSP, Usually EEG signals are filtered out in 8-30 Hz to capture event related desynchronization (ERD) specific frequency rhythms called mu and beta bands. However, this frequency band could be highly subject specific. Therefore, optimizing spectral and spatial filters jointly could improve the classification accuracy. In this paper, we proposed a novel learning algorithm to derive spatial and spectral filters simultaneously using an evolutionary learning algorithm called particle swarm optimization (PSO). Furthermore, we utilized mutual information between extracted features and class labels as a cost function in the learning algorithm. Our simulations on BCI competition IV, dataset 1 reveals that the proposed method significantly outperforms the conventional CSP and filter bank CSP (FBCSP) with two different filter bank architectures.

Keywords

Brain-Computer Interfaces
common spatial patterns
Spatio-spectral features
Particle Swarm Optimization
mutual information
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Iranian Journal of Biomedical Engineering (IJBME)
Volume 10, Issue 3
Autumn 2016
Pages 267-277

  • Receive Date 03 October 2017
  • Revise Date 22 October 2017
  • Accept Date 06 October 2017

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