Multivariate AR modeling of electromyography for the classification of upper arm movements
- 30 June 2004
- journal article
- research article
- Published by Elsevier in Clinical Neurophysiology
- Vol. 115 (6) , 1276-1287
- https://doi.org/10.1016/j.clinph.2003.12.030
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Intention detection using a neuro-fuzzy EMG classifierIEEE Engineering in Medicine and Biology Magazine, 2002
- EMG automatic switch for FES control for hemiplegics using artificial neural networkRobotics and Autonomous Systems, 2002
- Algorithm 808ACM Transactions on Mathematical Software, 2001
- Estimation of parameters and eigenmodes of multivariate autoregressive modelsACM Transactions on Mathematical Software, 2001
- Phasic and Tonic Coupling between EEG and EMG Demonstrated with Independent Component AnalysisJournal Of Clinical Neurophysiology, 2001
- The application of cepstral coefficients and maximum likelihood method in EMG pattern recognition [movements classification]IEEE Transactions on Biomedical Engineering, 1995
- EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walkingIEEE Transactions on Biomedical Engineering, 1989
- The theoretical development of a multichannel time-series myoprocessor for simultaneous limb function detection and muscle force estimationIEEE Transactions on Biomedical Engineering, 1989
- The control of a prosthetic arm by EMG pattern recognitionIEEE Transactions on Automatic Control, 1984
- ASSESSMENT OF COMA AND IMPAIRED CONSCIOUSNESSThe Lancet, 1974