Extracting attempted hand movements from EEGs in people with complete hand paralysis following stroke
This study examines the feasibility of using electroencephalograms (EEGs) to rapidly detect the intent to open one’s hand in individuals with complete hand paralysis following a subcortical ischemic stroke. If detectable, this motor planning activity could be used in real time to trigger a motorized...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2011-03-01
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| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00039/full |
| _version_ | 1811259538357092352 |
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| author | Abirami eMuralidharan Abirami eMuralidharan John Chae John Chae John Chae Dawn Taylor Dawn Taylor Dawn Taylor Dawn Taylor |
| author_facet | Abirami eMuralidharan Abirami eMuralidharan John Chae John Chae John Chae Dawn Taylor Dawn Taylor Dawn Taylor Dawn Taylor |
| author_sort | Abirami eMuralidharan |
| collection | DOAJ |
| description | This study examines the feasibility of using electroencephalograms (EEGs) to rapidly detect the intent to open one’s hand in individuals with complete hand paralysis following a subcortical ischemic stroke. If detectable, this motor planning activity could be used in real time to trigger a motorized hand exoskeleton or an electrical stimulation device that opens/closes the hand. While EEG-triggered movement-assist devices could restore function, they may also promote recovery by reinforcing the use of remaining cortical circuits. EEGs were recorded while participants were cued to either relax or attempt to extend their fingers. Linear discriminant analysis was used to detect onset of finger extension from the EEGs in a leave-one-trial-out cross-validation process. In each testing trial, the classifier was applied in pseudo real time starting from an initial hand-relaxed phase, through movement planning, and into the initial attempted finger extension phase (finger extension phase estimated from typical time-to-movement-onset measured in the unaffected hand). The classifiers detected attempted finger-extension at a significantly higher rate during both motor planning and early attempted execution compared to rest. To reduce inappropriate triggering of a movement-assist device during rest, the classification threshold could be adjusted to require more certainty about one’s intent to move before triggering a device. Additionally, a device could be set to activate only after multiple time samples in a row were classified as finger extension events. These options resulted in some sessions with no false triggers while the person was resting, but moderate-to-high true trigger rates during attempted movements. |
| first_indexed | 2024-04-12T18:33:06Z |
| format | Article |
| id | doaj.art-802d2ef9dcfa454297f5b40a22338bc4 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-12T18:33:06Z |
| publishDate | 2011-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-802d2ef9dcfa454297f5b40a22338bc42022-12-22T03:21:01ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2011-03-01510.3389/fnins.2011.000392287Extracting attempted hand movements from EEGs in people with complete hand paralysis following strokeAbirami eMuralidharan0Abirami eMuralidharan1John Chae2John Chae3John Chae4Dawn Taylor5Dawn Taylor6Dawn Taylor7Dawn Taylor8Case Western Reserve UniversityVeterans Affairs Medical CenterCase Western Reserve UniversityVeterans Affairs Medical CenterCase Western Reserve University at MetroHealth Medical CenterCleveland ClinicVeterans Affairs Medical CenterCase Western Reserve UniversityMetroHealth Medical CenterThis study examines the feasibility of using electroencephalograms (EEGs) to rapidly detect the intent to open one’s hand in individuals with complete hand paralysis following a subcortical ischemic stroke. If detectable, this motor planning activity could be used in real time to trigger a motorized hand exoskeleton or an electrical stimulation device that opens/closes the hand. While EEG-triggered movement-assist devices could restore function, they may also promote recovery by reinforcing the use of remaining cortical circuits. EEGs were recorded while participants were cued to either relax or attempt to extend their fingers. Linear discriminant analysis was used to detect onset of finger extension from the EEGs in a leave-one-trial-out cross-validation process. In each testing trial, the classifier was applied in pseudo real time starting from an initial hand-relaxed phase, through movement planning, and into the initial attempted finger extension phase (finger extension phase estimated from typical time-to-movement-onset measured in the unaffected hand). The classifiers detected attempted finger-extension at a significantly higher rate during both motor planning and early attempted execution compared to rest. To reduce inappropriate triggering of a movement-assist device during rest, the classification threshold could be adjusted to require more certainty about one’s intent to move before triggering a device. Additionally, a device could be set to activate only after multiple time samples in a row were classified as finger extension events. These options resulted in some sessions with no false triggers while the person was resting, but moderate-to-high true trigger rates during attempted movements.http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00039/fullStrokeDecodingbrain-computer interface (BCI)Brain-machine interface (BMI)Electroencephalograph (EEG)Hand paresis |
| spellingShingle | Abirami eMuralidharan Abirami eMuralidharan John Chae John Chae John Chae Dawn Taylor Dawn Taylor Dawn Taylor Dawn Taylor Extracting attempted hand movements from EEGs in people with complete hand paralysis following stroke Frontiers in Neuroscience Stroke Decoding brain-computer interface (BCI) Brain-machine interface (BMI) Electroencephalograph (EEG) Hand paresis |
| title | Extracting attempted hand movements from EEGs in people with complete hand paralysis following stroke |
| title_full | Extracting attempted hand movements from EEGs in people with complete hand paralysis following stroke |
| title_fullStr | Extracting attempted hand movements from EEGs in people with complete hand paralysis following stroke |
| title_full_unstemmed | Extracting attempted hand movements from EEGs in people with complete hand paralysis following stroke |
| title_short | Extracting attempted hand movements from EEGs in people with complete hand paralysis following stroke |
| title_sort | extracting attempted hand movements from eegs in people with complete hand paralysis following stroke |
| topic | Stroke Decoding brain-computer interface (BCI) Brain-machine interface (BMI) Electroencephalograph (EEG) Hand paresis |
| url | http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00039/full |
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