Literature DB >> 20692064

Accuracy of three different techniques for automatically estimating innervation zone location.

Travis W Beck1, Jason M DeFreitas, Matt S Stock.   

Abstract

The purpose of this study was to compare the accuracy of the estimated innervation zone (IZ) locations obtained from cross-correlation, the minimum amplitude, and maximum center frequency criteria. Eight healthy men (mean±SD age=23.0±4.3 yrs) performed isometric muscle actions of the leg extensors, and 15 separate bipolar surface electromyographic (EMG) signals were detected from the vastus lateralis. A custom software program was used to estimate the location of the IZ based on: (1) the EMG channel that demonstrated the lowest amplitude, (2) the EMG channel that showed the highest mean frequency, and (3) the EMG channel that demonstrated the lowest peak cross-correlation between the signals from adjacent channels. The IZ location estimates from the lowest amplitude and highest mean frequency criteria were accurate in only 43.75% and 7.5% of the cases, respectively. The accuracy of the cross-correlation-based method was 90%. The cross-correlation-based method was much more accurate for estimating IZ location than were the lowest amplitude and highest mean frequency criteria. Cross-correlation could potentially be used for estimating the location of the IZ without the need for visual inspection of EMG signals.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20692064     DOI: 10.1016/j.cmpb.2010.07.003

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  9 in total

1.  Global Innervation Zone Identification With High-Density Surface Electromyography.

Authors:  Chuan Zhang; Nicholas Dias; Jinbao He; Ping Zhou; Sheng Li; Yingchun Zhang
Journal:  IEEE Trans Biomed Eng       Date:  2019-05-30       Impact factor: 4.538

2.  Distribution of innervation zone and muscle fiber conduction velocity in the biceps brachii muscle.

Authors:  Xiaoyan Li; Chengjun Huang; Zhiyuan Lu; Inga Wang; Cliff S Klein; Liqun Zhang; Ping Zhou
Journal:  J Electromyogr Kinesiol       Date:  2022-02-04       Impact factor: 2.368

3.  Motor unit innervation zone localization based on robust linear regression analysis.

Authors:  Jie Liu; Sheng Li; Faezeh Jahanmiri-Nezhad; William Zev Rymer; Ping Zhou
Journal:  Comput Biol Med       Date:  2019-01-14       Impact factor: 4.589

4.  Detection of Multiple Innervation Zones from Multi-Channel Surface EMG Recordings with Low Signal-to-Noise Ratio Using Graph-Cut Segmentation.

Authors:  Hamid Reza Marateb; Morteza Farahi; Monica Rojas; Miguel Angel Mañanas; Dario Farina
Journal:  PLoS One       Date:  2016-12-15       Impact factor: 3.240

5.  Relationship between innervation zone width and mean muscle fiber conduction velocity during a sustained isometric contraction.

Authors:  X Ye; T W Beck; N P Wages
Journal:  J Musculoskelet Neuronal Interact       Date:  2015-03       Impact factor: 2.041

6.  Neurophysiological Factors Affecting Muscle Innervation Zone Estimation Using Surface EMG: A Simulation Study.

Authors:  Chengjun Huang; Maoqi Chen; Xiaoyan Li; Yingchun Zhang; Sheng Li; Ping Zhou
Journal:  Biosensors (Basel)       Date:  2021-09-27

7.  Investigation of innervation zone shift with continuous dynamic muscle contraction.

Authors:  Ken Nishihara; Hisashi Kawai; Yu Chiba; Naohiko Kanemura; Toshiaki Gomi
Journal:  Comput Math Methods Med       Date:  2013-06-03       Impact factor: 2.238

8.  Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings.

Authors:  Minal Bhadane; Jie Liu; W Zev Rymer; Ping Zhou; Sheng Li
Journal:  Sci Rep       Date:  2016-06-28       Impact factor: 4.379

9.  High-density surface electromyography maps after computer-aided training in individual with congenital transverse deficiency: a case study.

Authors:  Katarzyna Kisiel-Sajewicz; Jarosław Marusiak; Mónica Rojas-Martínez; Damian Janecki; Sławomir Chomiak; Łukasz Kamiński; Joanna Mencel; Miguel Ángel Mañanas; Artur Jaskólski; Anna Jaskólska
Journal:  BMC Musculoskelet Disord       Date:  2020-10-15       Impact factor: 2.362

  9 in total

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