Literature DB >> 31761717

Standards of instrumentation of EMG.

Hatice Tankisi1, David Burke2, Liying Cui3, Mamede de Carvalho4, Satoshi Kuwabara5, Sanjeev D Nandedkar6, Seward Rutkove7, Erik Stålberg8, Michel J A M van Putten9, Anders Fuglsang-Frederiksen10.   

Abstract

Standardization of Electromyography (EMG) instrumentation is of particular importance to ensure high quality recordings. This consensus report on "Standards of Instrumentation of EMG" is an update and extension of the earlier IFCN Guidelines published in 1999. First, a panel of experts in different fields from different geographical distributions was invited to submit a section on their particular interest and expertise. Then, the merged document was circulated for comments and edits until a consensus emerged. The first sections in this document cover technical aspects such as instrumentation, EMG hardware and software including amplifiers and filters, digital signal analysis and instrumentation settings. Other sections cover the topics such as temporary storage, trigger and delay line, averaging, electrode types, stimulation techniques for optimal and standardised EMG examinations, and the artefacts electromyographers may face and safety rules they should follow. Finally, storage of data and databases, report generators and external communication are summarized.
Copyright © 2019 The Author(s). Published by Elsevier B.V. All rights reserved.

Keywords:  Amplifiers; Databases; EMG; EMG artefacts; EMG averaging; EMG electrodes; Electrical safety; Filters; Instrumentation; Trigger and delay line

Mesh:

Year:  2019        PMID: 31761717     DOI: 10.1016/j.clinph.2019.07.025

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  12 in total

1.  Measuring conduction velocity distributions in peripheral nerves using neurophysiological techniques.

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2.  Needle EMG induced muscle bleeding complication after guideline approved discontinuation of anticoagulation.

Authors:  Michael Bartl; Arne Krahn; Joachim Riggert; Walter Paulus
Journal:  Clin Neurophysiol Pract       Date:  2021-03-26

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Journal:  Biomed Res Int       Date:  2021-03-26       Impact factor: 3.411

4.  Reply to "Conduction studies on the sural nerve".

Authors:  Thomas Krøigård; Kjeld V Andersen; Hatice Tankisi; Sándor Beniczky; Alexander Gramm Kristensen
Journal:  Clin Neurophysiol Pract       Date:  2021-12-13

5.  An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications.

Authors:  Yi-Da Wu; Shanq-Jang Ruan; Yu-Hao Lee
Journal:  Biosensors (Basel)       Date:  2021-10-21

6.  Muscle Mass Measurement Using Machine Learning Algorithms with Electrical Impedance Myography.

Authors:  Kuo-Sheng Cheng; Ya-Ling Su; Li-Chieh Kuo; Tai-Hua Yang; Chia-Lin Lee; Wenxi Chen; Shing-Hong Liu
Journal:  Sensors (Basel)       Date:  2022-04-18       Impact factor: 3.847

7.  Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke.

Authors:  John Harvey Kindred; Christian Finetto; Jasmine Jamilah Cash; Mark Goodman Bowden
Journal:  J Vis Exp       Date:  2021-07-26       Impact factor: 1.355

8.  Analysis and Biophysics of Surface EMG for Physiotherapists and Kinesiologists: Toward a Common Language With Rehabilitation Engineers.

Authors:  Lara McManus; Giuseppe De Vito; Madeleine M Lowery
Journal:  Front Neurol       Date:  2020-10-15       Impact factor: 4.003

9.  Bionic Ultra-Sensitive Self-Powered Electromechanical Sensor for Muscle-Triggered Communication Application.

Authors:  Hong Zhou; Dongxiao Li; Xianming He; Xindan Hui; Hengyu Guo; Chenguo Hu; Xiaojing Mu; Zhong Lin Wang
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Review 10.  Signal acquisition and analysis of ambulatory electromyographic recordings for the assessment of sleep bruxism: A scoping review.

Authors:  Magdalini Thymi; Frank Lobbezoo; Ghizlane Aarab; Jari Ahlberg; Kazuyoshi Baba; Maria Clotilde Carra; Luigi M Gallo; Antoon De Laat; Daniele Manfredini; Gilles Lavigne; Peter Svensson
Journal:  J Oral Rehabil       Date:  2021-05-02       Impact factor: 3.558

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