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 language | English |
|---|---|
| Pages (from-to) | 599-608 |
| Number of pages | 10 |
| Journal | Spinal Cord |
| Volume | 50 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2012 Aug 1 |
| Externally published | Yes |
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Keywords
- brain computer/machine interface
- electroencephalogram
- mechatronic/robotic arm device
- quality of life
- spinal cord injury
ASJC Scopus subject areas
- Clinical Neurology
- 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, Siamac; Danóczy, M.; Popescu, F.
In: Spinal Cord, Vol. 50, No. 8, 01.08.2012, p. 599-608.Research output: Contribution to journal › Article
}
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, Siamac
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
C2 - 22410845
AN - SCOPUS:84864648006
VL - 50
SP - 599
EP - 608
JO - Spinal Cord
JF - Spinal Cord
SN - 1362-4393
IS - 8
ER -