Evaluate the Feasibility of Using Frontal SSVEP to Implement an SSVEP-Based BCI in Young, Elderly and ALS Groups

Hao Teng Hsu, I. H. Lee, Han Ting Tsai, Hsiang Chih Chang, Kuo Kai Shyu, Chuan-Chih Hsu, Hsiao Huang Chang, Ting Kuang Yeh, Chun Yen Chang, Po Lei Lee

研究成果: 雜誌貢獻文章

17 引文 (Scopus)

摘要

This paper studies the amplitude-frequency characteristic of frontal steady-state visual evoked potential (SSVEP) and its feasibility as a control signal for brain computer interface (BCI). SSVEPs induced by different stimulation frequencies, from 13 ~ 31 Hz in 2 Hz steps, were measured in eight young subjects, eight elders and seven ALS patients. Each subject was requested to participate in a calibration study and an application study. The calibration study was designed to find the amplitude-frequency characteristics of SSVEPs recorded from Oz and Fpz positions, while the application study was designed to test the feasibility of using frontal SSVEP to control a two-command SSVEP-based BCI. The SSVEP amplitude was detected by an epoch-average process which enables artifact-contaminated epochs can be removed. The seven ALS patients were severely impaired, and four patients, who were incapable of completing our BCI task, were excluded from calculation of BCI performance. The averaged accuracies, command transfer intervals and information transfer rates in operating frontal SSVEP-based BCI were 96.1%, 3.43 s/command, and 14.42 bits/min in young subjects; 91.8%, 6.22 s/command, and 6.16 bits/min in elders; 81.2%, 12.14 s/command, and 1.51 bits/min in ALS patients, respectively. The frontal SSVEP could be an alternative choice to design SSVEP-based BCI.
原文英語
文章編號7335644
頁(從 - 到)603-615
頁數13
期刊IEEE Transactions on Neural Systems and Rehabilitation Engineering
24
發行號5
DOIs
出版狀態已發佈 - 五月 1 2016

指紋

Brain-Computer Interfaces
Brain computer interface
Visual Evoked Potentials
Bioelectric potentials
Calibration
Artifacts

ASJC Scopus subject areas

  • Neuroscience(all)
  • Computer Science Applications
  • Biomedical Engineering

引用此文

Evaluate the Feasibility of Using Frontal SSVEP to Implement an SSVEP-Based BCI in Young, Elderly and ALS Groups. / Hsu, Hao Teng; Lee, I. H.; Tsai, Han Ting; Chang, Hsiang Chih; Shyu, Kuo Kai; Hsu, Chuan-Chih; Chang, Hsiao Huang; Yeh, Ting Kuang; Chang, Chun Yen; Lee, Po Lei.

於: IEEE Transactions on Neural Systems and Rehabilitation Engineering, 卷 24, 編號 5, 7335644, 01.05.2016, p. 603-615.

研究成果: 雜誌貢獻文章

Hsu, Hao Teng ; Lee, I. H. ; Tsai, Han Ting ; Chang, Hsiang Chih ; Shyu, Kuo Kai ; Hsu, Chuan-Chih ; Chang, Hsiao Huang ; Yeh, Ting Kuang ; Chang, Chun Yen ; Lee, Po Lei. / Evaluate the Feasibility of Using Frontal SSVEP to Implement an SSVEP-Based BCI in Young, Elderly and ALS Groups. 於: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2016 ; 卷 24, 編號 5. 頁 603-615.
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AB - This paper studies the amplitude-frequency characteristic of frontal steady-state visual evoked potential (SSVEP) and its feasibility as a control signal for brain computer interface (BCI). SSVEPs induced by different stimulation frequencies, from 13 ~ 31 Hz in 2 Hz steps, were measured in eight young subjects, eight elders and seven ALS patients. Each subject was requested to participate in a calibration study and an application study. The calibration study was designed to find the amplitude-frequency characteristics of SSVEPs recorded from Oz and Fpz positions, while the application study was designed to test the feasibility of using frontal SSVEP to control a two-command SSVEP-based BCI. The SSVEP amplitude was detected by an epoch-average process which enables artifact-contaminated epochs can be removed. The seven ALS patients were severely impaired, and four patients, who were incapable of completing our BCI task, were excluded from calculation of BCI performance. The averaged accuracies, command transfer intervals and information transfer rates in operating frontal SSVEP-based BCI were 96.1%, 3.43 s/command, and 14.42 bits/min in young subjects; 91.8%, 6.22 s/command, and 6.16 bits/min in elders; 81.2%, 12.14 s/command, and 1.51 bits/min in ALS patients, respectively. The frontal SSVEP could be an alternative choice to design SSVEP-based BCI.

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