Journal article
The theoretical development of a multichannel time-series myoprocessor for simultaneous limb function detection and muscle force estimation
IEEE transactions on biomedical engineering, v 36(10), pp 1004-1017
Oct 1989
PMID: 2793194
Abstract
The theoretical development and simulation of a complete time-series myoprocessor which provides reliable and economical predictions of both the magnitude and direction of limb motion from the spectral content of the surface EMG is discussed. Treating multiple channels of surface EMG as a vector-valued autoregressive process incorporates spatially distributed information which extends the operating range of parallel filtering limb function classifiers and reduces their sensitivity to modeling conditions. Active joint moment is estimated simultaneously from the pooled variance of the prewhitened EMG generated during the classification procedure. Estimation from the prewhitened sequence imposes no additional computational requirements and extends optimal myoprocessor to include multiple channels of serially dependent data. Such a system may be applied to the control of actively powered prostheses or orthoses.< >
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Details
- Title
- The theoretical development of a multichannel time-series myoprocessor for simultaneous limb function detection and muscle force estimation
- Creators
- R.J Triolo - Shriners Hospitals for Children - ErieG.D Moskowitz - Drexel University
- Publication Details
- IEEE transactions on biomedical engineering, v 36(10), pp 1004-1017
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1989AP58800004
- Scopus ID
- 2-s2.0-0024755541
- Other Identifier
- 991019174079204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical