Single-Trial Classification of Error-Related Potentials in People with Motor Disabilities: A Study in Cerebral Palsy, Stroke, and Amputees

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aut.relation.issue4
aut.relation.journalSensors
aut.relation.startpage1676
aut.relation.volume22
dc.contributor.authorUsama, N
dc.contributor.authorNiazi, IK
dc.contributor.authorDremstrup, K
dc.contributor.authorJochumsen, M
dc.date.accessioned2023-06-13T04:36:06Z
dc.date.available2023-06-13T04:36:06Z
dc.date.issued2022-02-21
dc.description.abstractBrain-computer interface performance may be reduced over time, but adapting the classifier could reduce this problem. Error-related potentials (ErrPs) could label data for continuous adaptation. However, this has scarcely been investigated in populations with severe motor impairments. The aim of this study was to detect ErrPs from single-trial EEG in offline analysis in participants with cerebral palsy, an amputation, or stroke, and determine how much discriminative information different brain regions hold. Ten participants with cerebral palsy, eight with an amputation, and 25 with a stroke attempted to perform 300–400 wrist and ankle movements while a sham BCI provided feedback on their performance for eliciting ErrPs. Pre-processed EEG epochs were inputted in a multi-layer perceptron artificial neural network. Each brain region was used as input individually (Frontal, Central, Temporal Right, Temporal Left, Parietal, and Occipital), the combination of the Central region with each of the adjacent regions, and all regions combined. The Frontal and Central regions were most important, and adding additional regions only improved performance slightly. The average classification accuracies were 84 ± 4%, 87± 4%, and 85 ± 3% for cerebral palsy, amputation, and stroke participants. In conclusion, ErrPs can be detected in participants with motor impairments; this may have implications for developing adaptive BCIs or automatic error correction.
dc.identifier.citationSensors, ISSN: 1424-8220 (Print); 1424-8220 (Online), MDPI AG, 22(4), 1676-. doi: 10.3390/s22041676
dc.identifier.doi10.3390/s22041676
dc.identifier.issn1424-8220
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/10292/16266
dc.languageeng
dc.publisherMDPI AG
dc.relation.urihttps://www.mdpi.com/1424-8220/22/4/1676
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectamputation
dc.subjectartificial neural network
dc.subjectbrain-computer interface
dc.subjectcerebral palsy
dc.subjecterror-related potentials
dc.subjectneurorehabilitation
dc.subjectstroke
dc.subject40 Engineering
dc.subject4003 Biomedical Engineering
dc.subjectAssistive Technology
dc.subjectBrain Disorders
dc.subjectNeurosciences
dc.subjectStroke
dc.subjectRehabilitation
dc.subjectPerinatal Period - Conditions Originating in Perinatal Period
dc.subjectClinical Research
dc.subjectPediatric
dc.subjectBioengineering
dc.subjectCerebral Palsy
dc.subject1.1 Normal biological development and functioning
dc.subject1 Underpinning research
dc.subjectNeurological
dc.subjectStroke
dc.subject0301 Analytical Chemistry
dc.subject0502 Environmental Science and Management
dc.subject0602 Ecology
dc.subject0805 Distributed Computing
dc.subject0906 Electrical and Electronic Engineering
dc.subjectAnalytical Chemistry
dc.subject3103 Ecology
dc.subject4008 Electrical engineering
dc.subject4009 Electronics, sensors and digital hardware
dc.subject4104 Environmental management
dc.subject4606 Distributed computing and systems software
dc.subject.meshAmputees
dc.subject.meshBrain
dc.subject.meshBrain-Computer Interfaces
dc.subject.meshCerebral Palsy
dc.subject.meshElectroencephalography
dc.subject.meshHumans
dc.subject.meshStroke
dc.subject.meshBrain
dc.subject.meshHumans
dc.subject.meshCerebral Palsy
dc.subject.meshElectroencephalography
dc.subject.meshAmputees
dc.subject.meshStroke
dc.subject.meshBrain-Computer Interfaces
dc.subject.meshAmputees
dc.subject.meshBrain
dc.subject.meshBrain-Computer Interfaces
dc.subject.meshCerebral Palsy
dc.subject.meshElectroencephalography
dc.subject.meshHumans
dc.subject.meshStroke
dc.titleSingle-Trial Classification of Error-Related Potentials in People with Motor Disabilities: A Study in Cerebral Palsy, Stroke, and Amputees
dc.typeJournal Article
pubs.elements-id508405
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