| A portable system for the assessment of neuromuscular diseases with electrical impedance myography. | |
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MedLine Citation:
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PMID: 20670104 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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PRIMARY OBJECTIVE: To create a system for the acquisition of multi-angle, multifrequency muscle impedance data. RESEARCH DESIGN: Device development and preliminary testing. METHODS AND PROCEDURES: The system presented here employs an interrogating signal composed of multiple tones with frequencies between 10 kHz and 300 kHz. The use of a composite signal makes possible measurement of impedance at multiple frequencies simultaneously. In addition, this system takes impedance measurements at multiple orientations with respect to the muscle fibres by means of an electronically reconfigurable electrode array. The required measurement time is reduced by taking advantage of muscle's linearity with respect to the flow of electrical current. MAIN OUTCOMES AND RESULTS: The system was tested in normal subjects, a patient with amyotrophic lateral sclerosis, and one with inclusion body myositis; unique impedance signatures were identified the two patients. CONCLUSIONS: Early data suggest that this system is capable of high-quality data collection and may detect changes in neuromuscular disease; study of additional normal subjects and patients with a variety of neuromuscular diseases is warranted. |
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Authors:
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O T Ogunnika; S B Rutkove; H Ma; P M Fogerson; M Scharfstein; R C Cooper; J L Dawson |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. Date: 2010-07-29 |
Journal Detail:
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Title: Journal of medical engineering & technology Volume: 35 ISSN: 1464-522X ISO Abbreviation: J Med Eng Technol Publication Date: 2010 Oct-Nov |
Date Detail:
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Created Date: 2010-10-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7702125 Medline TA: J Med Eng Technol Country: England |
Other Details:
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Languages: eng Pagination: 377-85 Citation Subset: IM |
Affiliation:
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Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. muyi@mit.edu |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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