| Artificial neural network prediction using accelerometers to control upper limb FES during reaching and grasping following stroke. | |
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MedLine Citation:
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PMID: 17945746 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This work investigates arm acceleration as a control signal for functional electrical stimulation (FES) of the upper limb during reaching and grasping. We segment the reach and grasp motion into phases and present an artificial neural network (ANN) approach that estimates the phase of the reaching cycle from accelerometer signals. We then select the stimulator command that maximizes successful triggering without unnecessary risk to the patient's safety. Our results suggest that the algorithm successfully generalizes between sessions and patients but is less successful at generalizing between different motions. |
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Authors:
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Phil Tresadern; Sibylle Thies; Laurence Kenney; David Howard; John Y Goulermas |
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Publication Detail:
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Type: Evaluation Studies; Journal Article |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 1 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2006 |
Date Detail:
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Created Date: 2007-10-23 Completed Date: 2008-03-13 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 2916-9 Citation Subset: IM |
Affiliation:
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Dept. of Electr. Eng. & Electron., Salford Univ., Salford, UK. p.tresadern@salford.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Acceleration Adult Aged Aged, 80 and over Algorithms Arm / physiopathology Biomedical Engineering Electromyography Female Hemiplegia / physiopathology, rehabilitation, therapy Humans Male Man-Machine Systems Movement / physiology Neural Networks (Computer)* Stroke / physiopathology, rehabilitation, therapy* Transcutaneous Electric Nerve Stimulation* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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