Disease-specific wearable sensor algorithms for profiling activity, gait, and balance in individuals with Charcot-Marie-Tooth disease type 1A.

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Bibliographic Details
Title: Disease-specific wearable sensor algorithms for profiling activity, gait, and balance in individuals with Charcot-Marie-Tooth disease type 1A.
Authors: Dinesh K; Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA., White N; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA., Baker L; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA., Sowden JE; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA., Behrens-Spraggins S; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA., Wood E; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA., Charles J; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA., Herrmann DN; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA., Sharma G; Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA., Eichinger K; Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Source: Journal of the peripheral nervous system : JPNS [J Peripher Nerv Syst] 2023 Sep; Vol. 28 (3), pp. 368-381. Date of Electronic Publication: 2023 Jun 13.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9704532 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1529-8027 (Electronic) Linking ISSN: 10859489 NLM ISO Abbreviation: J Peripher Nerv Syst Subsets: MEDLINE
Database: MEDLINE Ultimate
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