Using AR model to analyze injured nerve with needle EMG signal

Chuan Qin; Zhizhong Wang; Gang Wang; B. Ma

Using AR model to analyze injured nerve with needle EMG signal

Chuan Qin
, Zhizhong Wang
, Gang Wang
, B. Ma

Shanghai Jiao Tong University

Research output: Contribution to journal › Article › peer-review

Abstract

The two main factors to affect the style of the recruitment are temporal recruitment and spatial recruitment. This study sought a new way to analyze the recruitment with the modern spectrum method. The abnormal spatial recruitment and temporal recruitment of varied injury degrees of intramuscular neuron were compared through the AR model. At last, AR coefficients were extracted and passed through BP artificial neuron network to classify different NEMG signals and good result was gained.

Original language	English
Pages (from-to)	636-639
Number of pages	4
Journal	Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Volume	21
Issue number	4
State	Published - Aug 2004
Externally published	Yes

Cite this

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title = "Using AR model to analyze injured nerve with needle EMG signal",

abstract = "The two main factors to affect the style of the recruitment are temporal recruitment and spatial recruitment. This study sought a new way to analyze the recruitment with the modern spectrum method. The abnormal spatial recruitment and temporal recruitment of varied injury degrees of intramuscular neuron were compared through the AR model. At last, AR coefficients were extracted and passed through BP artificial neuron network to classify different NEMG signals and good result was gained.",

author = "Chuan Qin and Zhizhong Wang and Gang Wang and B. Ma",

year = "2004",

month = aug,

language = "英语",

volume = "21",

pages = "636--639",

journal = "Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi",

issn = "1001-5515",

publisher = "West China Hospital, Sichuan Institute of Biomedical Engineering",

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T1 - Using AR model to analyze injured nerve with needle EMG signal

AU - Qin, Chuan

AU - Wang, Zhizhong

AU - Wang, Gang

AU - Ma, B.

PY - 2004/8

Y1 - 2004/8

N2 - The two main factors to affect the style of the recruitment are temporal recruitment and spatial recruitment. This study sought a new way to analyze the recruitment with the modern spectrum method. The abnormal spatial recruitment and temporal recruitment of varied injury degrees of intramuscular neuron were compared through the AR model. At last, AR coefficients were extracted and passed through BP artificial neuron network to classify different NEMG signals and good result was gained.

AB - The two main factors to affect the style of the recruitment are temporal recruitment and spatial recruitment. This study sought a new way to analyze the recruitment with the modern spectrum method. The abnormal spatial recruitment and temporal recruitment of varied injury degrees of intramuscular neuron were compared through the AR model. At last, AR coefficients were extracted and passed through BP artificial neuron network to classify different NEMG signals and good result was gained.

UR - https://www.scopus.com/pages/publications/28744450627

M3 - 文章

C2 - 15357450

AN - SCOPUS:28744450627

SN - 1001-5515

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EP - 639

JO - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

JF - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

IS - 4

ER -

Using AR model to analyze injured nerve with needle EMG signal

Abstract

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