Steady state visual evoked potential based brain-computer interface for cognitive assessment

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Steady state visual evoked potential based brain-computer interface for cognitive assessment. / Westergren, Nicolai; Bendtsen, Rasmus L.; Kjaer, Troels W.; Thomsen, Carsten E.; Puthusserypady, S.; Sorensen, Helge B D.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. p. 1508-1511 7590996.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Westergren, N, Bendtsen, RL, Kjaer, TW, Thomsen, CE, Puthusserypady, S & Sorensen, HBD 2016, Steady state visual evoked potential based brain-computer interface for cognitive assessment. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. vol. 2016-October, 7590996, Institute of Electrical and Electronics Engineers Inc., pp. 1508-1511, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 16/08/2016. https://doi.org/10.1109/EMBC.2016.7590996

APA

Westergren, N., Bendtsen, R. L., Kjaer, T. W., Thomsen, C. E., Puthusserypady, S., & Sorensen, H. B. D. (2016). Steady state visual evoked potential based brain-computer interface for cognitive assessment. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (Vol. 2016-October, pp. 1508-1511). [7590996] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7590996

Vancouver

Westergren N, Bendtsen RL, Kjaer TW, Thomsen CE, Puthusserypady S, Sorensen HBD. Steady state visual evoked potential based brain-computer interface for cognitive assessment. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1508-1511. 7590996 https://doi.org/10.1109/EMBC.2016.7590996

Author

Westergren, Nicolai ; Bendtsen, Rasmus L. ; Kjaer, Troels W. ; Thomsen, Carsten E. ; Puthusserypady, S. ; Sorensen, Helge B D. / Steady state visual evoked potential based brain-computer interface for cognitive assessment. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1508-1511

Bibtex

@inproceedings{cd44cac5055d44a5b2724bff94f49ffc,
title = "Steady state visual evoked potential based brain-computer interface for cognitive assessment",
abstract = "Cognitive assessment is of growing importance, with the general population getting older and a rapidly growing incidence of dementia, which is a major public health issue. Treatment of dementia must, to be most effective, start early in the disease process. Thus, early detection of cognitive decline is important. Cognitive decline may be detected using fully-automated computerized assessment. Such systems will provide inexpensive and widely available screenings of cognitive ability. The aim of this pilot study is to develop a real time steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) for neurological cognitive assessment. It is intended for use by patients who suffer from diseases impairing their motor skills, but are still able to control their gaze. Results are based on 11 healthy test subjects. The system performance have an average accuracy of 100% - 0%. The test subjects achieved an information transfer rate (ITR) of 14.64 bits/min - 7.63 bits/min and a subject test performance of 47.22% - 34.10%. This study suggests that BCI may be applicable in practice as a computerized cognitive assessment tool. However, many improvements are required for the system to be fully valid and of clinical use.",
author = "Nicolai Westergren and Bendtsen, {Rasmus L.} and Kjaer, {Troels W.} and Thomsen, {Carsten E.} and S. Puthusserypady and Sorensen, {Helge B D}",
year = "2016",
month = oct,
day = "13",
doi = "10.1109/EMBC.2016.7590996",
language = "English",
volume = "2016-October",
pages = "1508--1511",
booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

}

RIS

TY - GEN

T1 - Steady state visual evoked potential based brain-computer interface for cognitive assessment

AU - Westergren, Nicolai

AU - Bendtsen, Rasmus L.

AU - Kjaer, Troels W.

AU - Thomsen, Carsten E.

AU - Puthusserypady, S.

AU - Sorensen, Helge B D

PY - 2016/10/13

Y1 - 2016/10/13

N2 - Cognitive assessment is of growing importance, with the general population getting older and a rapidly growing incidence of dementia, which is a major public health issue. Treatment of dementia must, to be most effective, start early in the disease process. Thus, early detection of cognitive decline is important. Cognitive decline may be detected using fully-automated computerized assessment. Such systems will provide inexpensive and widely available screenings of cognitive ability. The aim of this pilot study is to develop a real time steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) for neurological cognitive assessment. It is intended for use by patients who suffer from diseases impairing their motor skills, but are still able to control their gaze. Results are based on 11 healthy test subjects. The system performance have an average accuracy of 100% - 0%. The test subjects achieved an information transfer rate (ITR) of 14.64 bits/min - 7.63 bits/min and a subject test performance of 47.22% - 34.10%. This study suggests that BCI may be applicable in practice as a computerized cognitive assessment tool. However, many improvements are required for the system to be fully valid and of clinical use.

AB - Cognitive assessment is of growing importance, with the general population getting older and a rapidly growing incidence of dementia, which is a major public health issue. Treatment of dementia must, to be most effective, start early in the disease process. Thus, early detection of cognitive decline is important. Cognitive decline may be detected using fully-automated computerized assessment. Such systems will provide inexpensive and widely available screenings of cognitive ability. The aim of this pilot study is to develop a real time steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) for neurological cognitive assessment. It is intended for use by patients who suffer from diseases impairing their motor skills, but are still able to control their gaze. Results are based on 11 healthy test subjects. The system performance have an average accuracy of 100% - 0%. The test subjects achieved an information transfer rate (ITR) of 14.64 bits/min - 7.63 bits/min and a subject test performance of 47.22% - 34.10%. This study suggests that BCI may be applicable in practice as a computerized cognitive assessment tool. However, many improvements are required for the system to be fully valid and of clinical use.

UR - http://www.scopus.com/inward/record.url?scp=85009090129&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2016.7590996

DO - 10.1109/EMBC.2016.7590996

M3 - Article in proceedings

C2 - 28268613

AN - SCOPUS:85009090129

VL - 2016-October

SP - 1508

EP - 1511

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

Y2 - 16 August 2016 through 20 August 2016

ER -

ID: 179059034