Surface electromyogram signals classification based on bispectrum

This paper bispectrum is used to classify human arm movements and control a robotic arm based on upper limb's surface electromyogram signals (sEMG). We use bispectrum based on third-order cumulant to parameterize sEMG signals and classify elbow flexion and extension, forearm pronation and supin...

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Veröffentlicht in:2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010-01, Vol.2010, p.4610-4613
Hauptverfasser: Orosco, E, López, N, Soria, C, di Sciascio, F
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Sprache:eng
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Zusammenfassung:This paper bispectrum is used to classify human arm movements and control a robotic arm based on upper limb's surface electromyogram signals (sEMG). We use bispectrum based on third-order cumulant to parameterize sEMG signals and classify elbow flexion and extension, forearm pronation and supination, and rest states by an artificial neural network (ANN). Finally, a robotic manipulator is controlled based on classification and parameters extracted from the signals. All this process is made in real-time using QNX ® operative system.
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2010.5626516