A PC-based workstation for real-time acquisition, processing, and display of electromyogram signals.

A system for real-time acquisition, processing, display, and logging of multiple channels of the EMG waveform has been described. By designing this system around the configuration of a standard PC, custom hardware was avoided. Similarly, software was designed in a higher-level language (C), simplify...

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Bibliographic Details
Published in:Biomedical Instrumentation & Technology Vol. 32; no. 2; pp. 123 - 135
Main Authors: Clancy EA, Clancy, E A
Format: tables/charts tracings Journal Article
Published: Association for the Advancement of Medical Instrumentation (AAMI) 1998 Mar-Apr
Online Access:View this record in EBSCOhost
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      dt: 1998 Mar-Apr
      vid: 32
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      pub: Association for the Advancement of Medical Instrumentation (AAMI)
      place: Arlington, Virginia
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        atl: A PC-based workstation for real-time acquisition, processing, and display of electromyogram signals.
      aug:
        au:
          Clancy EA
          Clancy, E A
        affil: Liberty Mutual Research Center for Safety and Health, Hopkinton, MA 01748
      sug:
        subj:
          Electromyography
          Signal Processing, Computer Assisted
          Data Display
          Microcomputers
          Computer Systems
          Muscle, Skeletal Physiology
          Programming Languages
          Software Design
          Equipment Design
      ab: A system for real-time acquisition, processing, display, and logging of multiple channels of the EMG waveform has been described. By designing this system around the configuration of a standard PC, custom hardware was avoided. Similarly, software was designed in a higher-level language (C), simplifying the programming burden and minimizing custom software development. Components of the software are available off the shelf. The computational capacity of generic PCs facilitates very high rates of numeric calculation, as required by some advanced EMG amplitude estimation algorithms. Computational capacity is expected to increase, facilitating ever more numerically intensive EMG algorithms that are likely to be developed in the future. The system described here has been used in the development of an adaptive window EMG amplitude-estimation algorithm. The system is extensible and can be altered for many uses related to EMG and biosignal processing.
      pubtype: Academic Journal
      doctype:
        tables/charts
        tracings
        Journal Article
      ougenre: Article
    language: English
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