Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation

Woosang Cho, Carmen Vidaurre, Ulrich Hoffmann, Niels Birbaumer, Ander Ramos-Murguialday

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stroke is a cardiovascular accident within the brain resulting in motor and sensory impairment in most of the survivors. A stroke can produce complete paralysis of the limb although sensory abilities are normally preserved. Functional electrical stimulation (FES), robotics and brain computer interfaces (BCIs) have been used to induce motor rehabilitation. In this work we measured the brain activity of healthy volunteers using electroencephalography (EEG) during FES, passive movements, active movements, motor imagery of the hand and resting to compare afferent and efferent brain signals produced during these motor related activities and to define possible features for an online FES-BCI. In the conditions in which the hand was moved we limited the movement range in order to control the afferent flow. Although we observed that there is a subject dependent frequency and spatial distribution of efferent and afferent signals, common patterns between conditions and subjects were present mainly in the low beta frequency range. When averaging all the subjects together the most significant frequency bin comparing each condition versus rest was exactly the same for all conditions but motor imagery. These results suggest that to implement an on-line FES-BCI, afferent brain signals resulting from FES have to be filtered and time-frequency-spatial features need to be used.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages7310-7315
Number of pages6
DOIs
Publication statusPublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

Fingerprint

Brain-Computer Interfaces
Brain computer interface
Patient rehabilitation
Deep Brain Stimulation
Rehabilitation
Brain
Imagery (Psychotherapy)
Electric Stimulation
Hand
Stroke
Aptitude
Robotics
Paralysis
Accidents
Bins
Electroencephalography
Healthy Volunteers
Motor Activity
Extremities
Spatial distribution

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Cho, W., Vidaurre, C., Hoffmann, U., Birbaumer, N., & Ramos-Murguialday, A. (2011). Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 7310-7315). [6091705] https://doi.org/10.1109/IEMBS.2011.6091705

Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation. / Cho, Woosang; Vidaurre, Carmen; Hoffmann, Ulrich; Birbaumer, Niels; Ramos-Murguialday, Ander.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 7310-7315 6091705.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cho, W, Vidaurre, C, Hoffmann, U, Birbaumer, N & Ramos-Murguialday, A 2011, Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6091705, pp. 7310-7315, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6091705
Cho W, Vidaurre C, Hoffmann U, Birbaumer N, Ramos-Murguialday A. Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 7310-7315. 6091705 https://doi.org/10.1109/IEMBS.2011.6091705
Cho, Woosang ; Vidaurre, Carmen ; Hoffmann, Ulrich ; Birbaumer, Niels ; Ramos-Murguialday, Ander. / Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. pp. 7310-7315
@inproceedings{710b0fec2d364b178803bcead58d1567,
title = "Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation",
abstract = "Stroke is a cardiovascular accident within the brain resulting in motor and sensory impairment in most of the survivors. A stroke can produce complete paralysis of the limb although sensory abilities are normally preserved. Functional electrical stimulation (FES), robotics and brain computer interfaces (BCIs) have been used to induce motor rehabilitation. In this work we measured the brain activity of healthy volunteers using electroencephalography (EEG) during FES, passive movements, active movements, motor imagery of the hand and resting to compare afferent and efferent brain signals produced during these motor related activities and to define possible features for an online FES-BCI. In the conditions in which the hand was moved we limited the movement range in order to control the afferent flow. Although we observed that there is a subject dependent frequency and spatial distribution of efferent and afferent signals, common patterns between conditions and subjects were present mainly in the low beta frequency range. When averaging all the subjects together the most significant frequency bin comparing each condition versus rest was exactly the same for all conditions but motor imagery. These results suggest that to implement an on-line FES-BCI, afferent brain signals resulting from FES have to be filtered and time-frequency-spatial features need to be used.",
author = "Woosang Cho and Carmen Vidaurre and Ulrich Hoffmann and Niels Birbaumer and Ander Ramos-Murguialday",
year = "2011",
doi = "10.1109/IEMBS.2011.6091705",
language = "English",
isbn = "9781424441211",
pages = "7310--7315",
booktitle = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

}

TY - GEN

T1 - Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation

AU - Cho, Woosang

AU - Vidaurre, Carmen

AU - Hoffmann, Ulrich

AU - Birbaumer, Niels

AU - Ramos-Murguialday, Ander

PY - 2011

Y1 - 2011

N2 - Stroke is a cardiovascular accident within the brain resulting in motor and sensory impairment in most of the survivors. A stroke can produce complete paralysis of the limb although sensory abilities are normally preserved. Functional electrical stimulation (FES), robotics and brain computer interfaces (BCIs) have been used to induce motor rehabilitation. In this work we measured the brain activity of healthy volunteers using electroencephalography (EEG) during FES, passive movements, active movements, motor imagery of the hand and resting to compare afferent and efferent brain signals produced during these motor related activities and to define possible features for an online FES-BCI. In the conditions in which the hand was moved we limited the movement range in order to control the afferent flow. Although we observed that there is a subject dependent frequency and spatial distribution of efferent and afferent signals, common patterns between conditions and subjects were present mainly in the low beta frequency range. When averaging all the subjects together the most significant frequency bin comparing each condition versus rest was exactly the same for all conditions but motor imagery. These results suggest that to implement an on-line FES-BCI, afferent brain signals resulting from FES have to be filtered and time-frequency-spatial features need to be used.

AB - Stroke is a cardiovascular accident within the brain resulting in motor and sensory impairment in most of the survivors. A stroke can produce complete paralysis of the limb although sensory abilities are normally preserved. Functional electrical stimulation (FES), robotics and brain computer interfaces (BCIs) have been used to induce motor rehabilitation. In this work we measured the brain activity of healthy volunteers using electroencephalography (EEG) during FES, passive movements, active movements, motor imagery of the hand and resting to compare afferent and efferent brain signals produced during these motor related activities and to define possible features for an online FES-BCI. In the conditions in which the hand was moved we limited the movement range in order to control the afferent flow. Although we observed that there is a subject dependent frequency and spatial distribution of efferent and afferent signals, common patterns between conditions and subjects were present mainly in the low beta frequency range. When averaging all the subjects together the most significant frequency bin comparing each condition versus rest was exactly the same for all conditions but motor imagery. These results suggest that to implement an on-line FES-BCI, afferent brain signals resulting from FES have to be filtered and time-frequency-spatial features need to be used.

UR - http://www.scopus.com/inward/record.url?scp=84055200787&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84055200787&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2011.6091705

DO - 10.1109/IEMBS.2011.6091705

M3 - Conference contribution

SN - 9781424441211

SP - 7310

EP - 7315

BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

ER -