Art

J-GLOBAL ID：202002213640728546   Reference number：20A0777741

Optimization and Implementation of Wavelet-based Algorithms for Detecting High-voltage Spindles in Neuron Signals

ニューロン信号における高電圧紡錘体検出のためのウェーブレットベースアルゴリズムの最適化と実行【JST・京大機械翻訳】

Author (6)： Chen Yu-Chieh (Department of Electrical Engineering, National Tsing-Hua University; Instrument Technology Research Center (NARL), Taiwan) ,  Chang Ching-Chih (Institute of Molecular Medicine, National Tsing-Hua University) ,  Perumal Ramesh (Department of Electrical Engineering, National Tsing-Hua University) ,  Yeh Shih-Rung (Institute of Molecular Medicine, National Tsing-Hua University) ,  Chang Yen-Chung (Institute of Systems Neuroscience, National Tsing-Hua University) ,  Chen Hsin (Department of Electrical Engineering, National Tsing-Hua University)
Material： ACM Transactions on Embedded Computing Systems
Volume： 18  Issue： 5  Page： 1-16  Publication year： 2019 
JST Material Number： W5694A  ISSN： 1539-9087  Document type： Article
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： This article presents a microc...

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Thesaurus term： Parkinson's disease ,  *wave packet ,  *spindle (cytology) ,  electric power consumption ,  necessary condition ,  clock ,  simplification ,  hardware ,  *optimization ,  *algorithm ,  *neuron ,  digital method ,  spindle (machine element) ,  multiplier ,  software ,  time measuring instrument ,  *modification

Author keywords (3)： Discrete wavelet transform (DWT) ,  Parkinson disease (PD) ,  high-voltage spindle (HVS)

JST classification (4)： AD/DA conversion circuits  (NC05080M) ,  Semiconductor integrated circuit  (NC03162T) ,  Biometry  (EL03020C) ,  Power source circuit  (NC05060Q)

Terms in the title (4)： ニューロン ,  高電圧 ,  紡錘体 ,  最適化