Experiments on Synchronous Nonlinear Features for 2-Class NIRS-Based Motor Imagery Problem

Tuan Hoang, Dat Tran, Truoung Khoa, Phuoc Nguyen, Dharmendra Sharma

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

This paper aims to experiment several synchronous nonlinear features in the well-known 2-class motor imagery problem in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. Those features including phase synchronizations and nonlinear interdependences are well known and widely applied on several neural-related problems such as epilepsy prediction. However, only a few publications are related to NIRS-based BCI systems. We conducted several experiments using NIRS technique to analyze how useful those synchronous nonlinear features can be applied on NIRS-based BCI systems. Results show that while the nonlinear interdependences can produce quite good recall and precision ratios, the phase synchronizations are not good for classification because the accuracy is as low as that in random guessing.
Original languageEnglish
Title of host publicationThe 4th International Conference on the Development of Biomedical Engineering
EditorsVo Van Toi, Nguyen Bao Toan, Troung Quang Dang Khoa, Tran Ha Lien Phoung
Place of PublicationVietnam
PublisherSpringer
Pages8-12
Number of pages5
Volume1
ISBN (Print)9783642321825
DOIs
Publication statusPublished - 2012
Event4th International Conference on Development of Biomedical Engineering - Ho Chi Minh, Ho Chi Minh, Viet Nam
Duration: 1 Aug 2012 → …

Conference

Conference4th International Conference on Development of Biomedical Engineering
Abbreviated titleIFMBE 2012
CountryViet Nam
CityHo Chi Minh
Period1/08/12 → …

Fingerprint

Near infrared spectroscopy
Brain computer interface
Synchronization
Experiments

Cite this

Hoang, T., Tran, D., Khoa, T., Nguyen, P., & Sharma, D. (2012). Experiments on Synchronous Nonlinear Features for 2-Class NIRS-Based Motor Imagery Problem. In V. Van Toi, N. B. Toan, T. Q. D. Khoa, & T. H. L. Phoung (Eds.), The 4th International Conference on the Development of Biomedical Engineering (Vol. 1, pp. 8-12). Vietnam: Springer. https://doi.org/10.1007/978-3-642-32183-2_3
Hoang, Tuan ; Tran, Dat ; Khoa, Truoung ; Nguyen, Phuoc ; Sharma, Dharmendra. / Experiments on Synchronous Nonlinear Features for 2-Class NIRS-Based Motor Imagery Problem. The 4th International Conference on the Development of Biomedical Engineering. editor / Vo Van Toi ; Nguyen Bao Toan ; Troung Quang Dang Khoa ; Tran Ha Lien Phoung. Vol. 1 Vietnam : Springer, 2012. pp. 8-12
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title = "Experiments on Synchronous Nonlinear Features for 2-Class NIRS-Based Motor Imagery Problem",
abstract = "This paper aims to experiment several synchronous nonlinear features in the well-known 2-class motor imagery problem in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. Those features including phase synchronizations and nonlinear interdependences are well known and widely applied on several neural-related problems such as epilepsy prediction. However, only a few publications are related to NIRS-based BCI systems. We conducted several experiments using NIRS technique to analyze how useful those synchronous nonlinear features can be applied on NIRS-based BCI systems. Results show that while the nonlinear interdependences can produce quite good recall and precision ratios, the phase synchronizations are not good for classification because the accuracy is as low as that in random guessing.",
author = "Tuan Hoang and Dat Tran and Truoung Khoa and Phuoc Nguyen and Dharmendra Sharma",
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editor = "{Van Toi}, Vo and Toan, {Nguyen Bao} and Khoa, {Troung Quang Dang} and Phoung, {Tran Ha Lien}",
booktitle = "The 4th International Conference on the Development of Biomedical Engineering",
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Hoang, T, Tran, D, Khoa, T, Nguyen, P & Sharma, D 2012, Experiments on Synchronous Nonlinear Features for 2-Class NIRS-Based Motor Imagery Problem. in V Van Toi, NB Toan, TQD Khoa & THL Phoung (eds), The 4th International Conference on the Development of Biomedical Engineering. vol. 1, Springer, Vietnam, pp. 8-12, 4th International Conference on Development of Biomedical Engineering, Ho Chi Minh, Viet Nam, 1/08/12. https://doi.org/10.1007/978-3-642-32183-2_3

Experiments on Synchronous Nonlinear Features for 2-Class NIRS-Based Motor Imagery Problem. / Hoang, Tuan; Tran, Dat; Khoa, Truoung; Nguyen, Phuoc; Sharma, Dharmendra.

The 4th International Conference on the Development of Biomedical Engineering. ed. / Vo Van Toi; Nguyen Bao Toan; Troung Quang Dang Khoa; Tran Ha Lien Phoung. Vol. 1 Vietnam : Springer, 2012. p. 8-12.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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AU - Sharma, Dharmendra

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N2 - This paper aims to experiment several synchronous nonlinear features in the well-known 2-class motor imagery problem in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. Those features including phase synchronizations and nonlinear interdependences are well known and widely applied on several neural-related problems such as epilepsy prediction. However, only a few publications are related to NIRS-based BCI systems. We conducted several experiments using NIRS technique to analyze how useful those synchronous nonlinear features can be applied on NIRS-based BCI systems. Results show that while the nonlinear interdependences can produce quite good recall and precision ratios, the phase synchronizations are not good for classification because the accuracy is as low as that in random guessing.

AB - This paper aims to experiment several synchronous nonlinear features in the well-known 2-class motor imagery problem in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. Those features including phase synchronizations and nonlinear interdependences are well known and widely applied on several neural-related problems such as epilepsy prediction. However, only a few publications are related to NIRS-based BCI systems. We conducted several experiments using NIRS technique to analyze how useful those synchronous nonlinear features can be applied on NIRS-based BCI systems. Results show that while the nonlinear interdependences can produce quite good recall and precision ratios, the phase synchronizations are not good for classification because the accuracy is as low as that in random guessing.

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Hoang T, Tran D, Khoa T, Nguyen P, Sharma D. Experiments on Synchronous Nonlinear Features for 2-Class NIRS-Based Motor Imagery Problem. In Van Toi V, Toan NB, Khoa TQD, Phoung THL, editors, The 4th International Conference on the Development of Biomedical Engineering. Vol. 1. Vietnam: Springer. 2012. p. 8-12 https://doi.org/10.1007/978-3-642-32183-2_3