Delta band contribution in cue based single trial classification of real and imaginary wrist movements.
The aim of this study was to classify different movements about the right wrist. Four different movements were performed: extension, flexion, pronation and supination. Two-class single trial classification was performed on six possible combinations of two movements (extension-flexion, extension-supi...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 46; no. 6; pp. 529 - 540 |
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| Autores principales: | , , , |
| Formato: | clinical trial research Journal Article |
| Publicado: |
Springer Nature
Jun2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105664413&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105664413 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2008 vid: 46 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105664413 NLM18418635 2009929044 10.1007/s11517-008-0345-8 NLM18418635 105664413 ppf: 529 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Delta band contribution in cue based single trial classification of real and imaginary wrist movements. aug: au: Vuckovic A Sepulveda F Vuckovic, Aleksandra Sepulveda, Francisco affil: Centre for Rehabilitation Engineering, University of Glasgow, Glasgow, UK sug: subj: Classification Cues Movement Physiology Wrist Joint Physiology Adult Clinical Trials Electrodiagnosis Electroencephalography Female Imagination Limb Prosthesis Male Neural Networks (Computer) Human Adult: 19-44 years Female Male ab: The aim of this study was to classify different movements about the right wrist. Four different movements were performed: extension, flexion, pronation and supination. Two-class single trial classification was performed on six possible combinations of two movements (extension-flexion, extension-supination, extension-pronation, flexion-supination, flexion-pronation, pronation-supination). Both real and imaginary movements were analysed. The analysis was done in the joint time-frequency domain using the Gabor transform. Feature selection was based on the Davis-Bouldin Index (DBI) and feature classification was based on Elman's recurrent neural networks (ENN). The best classification results, near 80% true positive rate, for imaginary movements were achieved for discrimination between extension and any other type of movement. The experiments were run with 10 able-bodied subjects. For some subjects, real movement classification rates higher than 80% were achieved for any combination of movements, though not simultaneously for all six combinations of movements. For classification of the imaginary movements, the results suggest that the type of movement and frequency band play an important role. Unexpectedly, the delta band was found to carry significant class-related information. pubtype: Academic Journal doctype: clinical trial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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