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J-GLOBAL ID:202102281408298303   Reference number:21A0992368

Improved Deep Learning Technique to Detect Freezing of Gait in Parkinson’s Disease Based on Wearable Sensors

ウェアラブルセンサに基づくパーキンソン病における歩行の凍結を検出するための改良型深層学習技術【JST・京大機械翻訳】
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Volume:Issue: 11  Page: 1919  Publication year: 2020 
JST Material Number: U7178A  ISSN: 2079-9292  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Freezing of gait (FOG) is a pa...
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Medical instruments and apparatuses  ,  Clinical neurology in general  ,  Neurologic diagnosis  ,  Nervous system diseases 
Reference (52):
  • Harris, J.R. Protein Aggregation and Fibrillogenesis in Cerebral and Systemic Amyloid Disease; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2012; Volume 65.
  • Nutt, J.G.; Bloem, B.R.; Giladi, N.; Hallett, M.; Horak, F.B.; Nieuwboer, A. Freezing of gait: Moving forward on a mysterious clinical phenomenon. Lancet Neurol. 2011, 10, 734-744.
  • Backer, J.H. The symptom experience of patients with Parkinson2018s disease. J. Neurosci. Nurs. 2006, 38, 51.
  • Giladi, N.; Nieuwboer, A. Understanding and treating freezing of gait in parkinsonism, proposed working definition, and setting the stage. Mov. Disord. 2008, 23, S423-S425.
  • Schaafsma, J.D.; Balash, Y.; Gurevich, T.; Bartels, A.L.; Hausdorff, J.M.; Giladi, N. Characterization of freezing of gait subtypes and the response of each to levodopa in Parkinson’s disease. Eur. J. Neurol. 2003, 10, 391-398.
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