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Standards of instrumentation of EMG
Affiliation:1. Department of Clinical Neurophysiology, Aarhus University Hospital & Dept of Clinical Medicine, Aarhus University, Aarhus, Denmark;2. Royal Prince Alfred Hospital and University of Sydney, Australia;3. Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China;4. Faculdade de Medicina-iMM, Universidade de Lisboa, Lisbon, Portugal;5. Department of Neurosciences, Centro Hospitalar Universitário de Lisboa, Portugal;6. Department of Neurology, Graduate School of Medicine, Chiba University, Japan;7. Natus Neurology, USA;8. Harvard Medical School, Boston, MA, USA;9. Department Clin Neurophysiology, Inst Neurosciences, Uppsala University, Sweden;10. Medisch Spectrum Twente & University of Twente, the Netherlands
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.
Keywords:EMG  Instrumentation  Filters  Amplifiers  Trigger and delay line  EMG averaging  EMG electrodes  EMG artefacts  Electrical safety  Databases
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