On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control

A clinical test and long-term post-trial follow-up

G. Onose, C. Grozea, A. Anghelescu, C. Daia, C. J. Sinescu, A. V. Ciurea, T. Spircu, A. Mirea, I. Andone, A. Spânu, C. Popescu, A. S. Mihǎescu, S. Fazli, M. Danóczy, F. Popescu

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

Study design:Survey and long-term clinical post-trial follow-up (interviews/correspondence) on nine chronic, post spinal cord injury (SCI) tetraplegics.Objective:To assess feasibility of the use of Electroencephalography-based Brain-Computer Interface (EEG-BCI) for reaching/grasping assistance in tetraplegics, through a robotic arm.Settings:Physical and (neuromuscular) Rehabilitation Medicine, Cardiology, Neurosurgery Clinic Divisions of TEHBA and UMPCD, in collaboration with Brain2Robot (composed of the European Commission-funded Marie Curie Excellence Team by the same name, hosted by Fraunhofer Institute-FIRST), in the second part of 2008.Methods:Enrolled patients underwent EEG-BCI preliminary training and robot control sessions. Statistics entailed multiple linear regressions and cluster analysis. A follow-upcustom questionnaire basedincluding patients perception of their EEG-BCI control capacity was continued up to 14 months after initial experiments.Results:EEG-BCI performance/calibration-phase classification accuracy averaged 81.0%; feedback training sessions averaged 70.5% accuracy for 7 subjects who completed at least one feedback training session; 7 (77.7%) of 9 subjects reported having felt control of the cursor; and 3 (33.3%) subjects felt that they were also controlling the robot through their movement imagination. No significant side effects occurred. BCI performance was positively correlated with beta (13-30 Hz) EEG spectral power density (coefficient 0.432, standardized coefficient 0.745, P-value0.025); another possible influence was sensory AIS score (range: 0 min to 224 max, coefficient -0.177, standardized coefficient 0.512, P=0.089).Conclusion:Limited but real potential for self-assistance in chronic tetraplegics by EEG-BCI-actuated mechatronic devices was found, which was mainly related to spectral density in the beta range positively (increasing therewith) and to AIS sensory score negatively.

Original languageEnglish
Pages (from-to)599-608
Number of pages10
JournalSpinal Cord
Volume50
Issue number8
DOIs
Publication statusPublished - Aug 1 2012
Externally publishedYes

Fingerprint

Brain-Computer Interfaces
Imagery (Psychotherapy)
Robotics
Electroencephalography
Imagination
Physical and Rehabilitation Medicine
Neurosurgery
Cardiology
Spinal Cord Injuries
Calibration
Names
Cluster Analysis
Linear Models
Regression Analysis
Clinical Trials
Interviews
Equipment and Supplies

Keywords

  • brain computer/machine interface
  • electroencephalogram
  • mechatronic/robotic arm device
  • quality of life
  • spinal cord injury

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control : A clinical test and long-term post-trial follow-up. / Onose, G.; Grozea, C.; Anghelescu, A.; Daia, C.; Sinescu, C. J.; Ciurea, A. V.; Spircu, T.; Mirea, A.; Andone, I.; Spânu, A.; Popescu, C.; Mihǎescu, A. S.; Fazli, S.; Danóczy, M.; Popescu, F.

In: Spinal Cord, Vol. 50, No. 8, 01.08.2012, p. 599-608.

Research output: Contribution to journalArticle

Onose, G, Grozea, C, Anghelescu, A, Daia, C, Sinescu, CJ, Ciurea, AV, Spircu, T, Mirea, A, Andone, I, Spânu, A, Popescu, C, Mihǎescu, AS, Fazli, S, Danóczy, M & Popescu, F 2012, 'On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control: A clinical test and long-term post-trial follow-up', Spinal Cord, vol. 50, no. 8, pp. 599-608. https://doi.org/10.1038/sc.2012.14
Onose, G. ; Grozea, C. ; Anghelescu, A. ; Daia, C. ; Sinescu, C. J. ; Ciurea, A. V. ; Spircu, T. ; Mirea, A. ; Andone, I. ; Spânu, A. ; Popescu, C. ; Mihǎescu, A. S. ; Fazli, S. ; Danóczy, M. ; Popescu, F. / On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control : A clinical test and long-term post-trial follow-up. In: Spinal Cord. 2012 ; Vol. 50, No. 8. pp. 599-608.
@article{102d3db26ef14b519a01f10306861b37,
title = "On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control: A clinical test and long-term post-trial follow-up",
abstract = "Study design:Survey and long-term clinical post-trial follow-up (interviews/correspondence) on nine chronic, post spinal cord injury (SCI) tetraplegics.Objective:To assess feasibility of the use of Electroencephalography-based Brain-Computer Interface (EEG-BCI) for reaching/grasping assistance in tetraplegics, through a robotic arm.Settings:Physical and (neuromuscular) Rehabilitation Medicine, Cardiology, Neurosurgery Clinic Divisions of TEHBA and UMPCD, in collaboration with Brain2Robot (composed of the European Commission-funded Marie Curie Excellence Team by the same name, hosted by Fraunhofer Institute-FIRST), in the second part of 2008.Methods:Enrolled patients underwent EEG-BCI preliminary training and robot control sessions. Statistics entailed multiple linear regressions and cluster analysis. A follow-upcustom questionnaire basedincluding patients perception of their EEG-BCI control capacity was continued up to 14 months after initial experiments.Results:EEG-BCI performance/calibration-phase classification accuracy averaged 81.0{\%}; feedback training sessions averaged 70.5{\%} accuracy for 7 subjects who completed at least one feedback training session; 7 (77.7{\%}) of 9 subjects reported having felt control of the cursor; and 3 (33.3{\%}) subjects felt that they were also controlling the robot through their movement imagination. No significant side effects occurred. BCI performance was positively correlated with beta (13-30 Hz) EEG spectral power density (coefficient 0.432, standardized coefficient 0.745, P-value0.025); another possible influence was sensory AIS score (range: 0 min to 224 max, coefficient -0.177, standardized coefficient 0.512, P=0.089).Conclusion:Limited but real potential for self-assistance in chronic tetraplegics by EEG-BCI-actuated mechatronic devices was found, which was mainly related to spectral density in the beta range positively (increasing therewith) and to AIS sensory score negatively.",
keywords = "brain computer/machine interface, electroencephalogram, mechatronic/robotic arm device, quality of life, spinal cord injury",
author = "G. Onose and C. Grozea and A. Anghelescu and C. Daia and Sinescu, {C. J.} and Ciurea, {A. V.} and T. Spircu and A. Mirea and I. Andone and A. Sp{\^a}nu and C. Popescu and Mihǎescu, {A. S.} and S. Fazli and M. Dan{\'o}czy and F. Popescu",
year = "2012",
month = "8",
day = "1",
doi = "10.1038/sc.2012.14",
language = "English",
volume = "50",
pages = "599--608",
journal = "Spinal Cord",
issn = "1362-4393",
publisher = "Nature Publishing Group",
number = "8",

}

TY - JOUR

T1 - On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control

T2 - A clinical test and long-term post-trial follow-up

AU - Onose, G.

AU - Grozea, C.

AU - Anghelescu, A.

AU - Daia, C.

AU - Sinescu, C. J.

AU - Ciurea, A. V.

AU - Spircu, T.

AU - Mirea, A.

AU - Andone, I.

AU - Spânu, A.

AU - Popescu, C.

AU - Mihǎescu, A. S.

AU - Fazli, S.

AU - Danóczy, M.

AU - Popescu, F.

PY - 2012/8/1

Y1 - 2012/8/1

N2 - Study design:Survey and long-term clinical post-trial follow-up (interviews/correspondence) on nine chronic, post spinal cord injury (SCI) tetraplegics.Objective:To assess feasibility of the use of Electroencephalography-based Brain-Computer Interface (EEG-BCI) for reaching/grasping assistance in tetraplegics, through a robotic arm.Settings:Physical and (neuromuscular) Rehabilitation Medicine, Cardiology, Neurosurgery Clinic Divisions of TEHBA and UMPCD, in collaboration with Brain2Robot (composed of the European Commission-funded Marie Curie Excellence Team by the same name, hosted by Fraunhofer Institute-FIRST), in the second part of 2008.Methods:Enrolled patients underwent EEG-BCI preliminary training and robot control sessions. Statistics entailed multiple linear regressions and cluster analysis. A follow-upcustom questionnaire basedincluding patients perception of their EEG-BCI control capacity was continued up to 14 months after initial experiments.Results:EEG-BCI performance/calibration-phase classification accuracy averaged 81.0%; feedback training sessions averaged 70.5% accuracy for 7 subjects who completed at least one feedback training session; 7 (77.7%) of 9 subjects reported having felt control of the cursor; and 3 (33.3%) subjects felt that they were also controlling the robot through their movement imagination. No significant side effects occurred. BCI performance was positively correlated with beta (13-30 Hz) EEG spectral power density (coefficient 0.432, standardized coefficient 0.745, P-value0.025); another possible influence was sensory AIS score (range: 0 min to 224 max, coefficient -0.177, standardized coefficient 0.512, P=0.089).Conclusion:Limited but real potential for self-assistance in chronic tetraplegics by EEG-BCI-actuated mechatronic devices was found, which was mainly related to spectral density in the beta range positively (increasing therewith) and to AIS sensory score negatively.

AB - Study design:Survey and long-term clinical post-trial follow-up (interviews/correspondence) on nine chronic, post spinal cord injury (SCI) tetraplegics.Objective:To assess feasibility of the use of Electroencephalography-based Brain-Computer Interface (EEG-BCI) for reaching/grasping assistance in tetraplegics, through a robotic arm.Settings:Physical and (neuromuscular) Rehabilitation Medicine, Cardiology, Neurosurgery Clinic Divisions of TEHBA and UMPCD, in collaboration with Brain2Robot (composed of the European Commission-funded Marie Curie Excellence Team by the same name, hosted by Fraunhofer Institute-FIRST), in the second part of 2008.Methods:Enrolled patients underwent EEG-BCI preliminary training and robot control sessions. Statistics entailed multiple linear regressions and cluster analysis. A follow-upcustom questionnaire basedincluding patients perception of their EEG-BCI control capacity was continued up to 14 months after initial experiments.Results:EEG-BCI performance/calibration-phase classification accuracy averaged 81.0%; feedback training sessions averaged 70.5% accuracy for 7 subjects who completed at least one feedback training session; 7 (77.7%) of 9 subjects reported having felt control of the cursor; and 3 (33.3%) subjects felt that they were also controlling the robot through their movement imagination. No significant side effects occurred. BCI performance was positively correlated with beta (13-30 Hz) EEG spectral power density (coefficient 0.432, standardized coefficient 0.745, P-value0.025); another possible influence was sensory AIS score (range: 0 min to 224 max, coefficient -0.177, standardized coefficient 0.512, P=0.089).Conclusion:Limited but real potential for self-assistance in chronic tetraplegics by EEG-BCI-actuated mechatronic devices was found, which was mainly related to spectral density in the beta range positively (increasing therewith) and to AIS sensory score negatively.

KW - brain computer/machine interface

KW - electroencephalogram

KW - mechatronic/robotic arm device

KW - quality of life

KW - spinal cord injury

UR - http://www.scopus.com/inward/record.url?scp=84864648006&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84864648006&partnerID=8YFLogxK

U2 - 10.1038/sc.2012.14

DO - 10.1038/sc.2012.14

M3 - Article

VL - 50

SP - 599

EP - 608

JO - Spinal Cord

JF - Spinal Cord

SN - 1362-4393

IS - 8

ER -