Electrodiagnosis support system for localizing neural injury in an upper limb

Hanjun Shin, Ki Hoon Kim, Chihwan Song, Injoon Lee, Kyubum Lee, Jaewoo Kang, Yoon Kyoo Kang

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)

    Abstract

    Needle electromyography (EMG) is used for the diagnosis of a neural injury in patients with a cervical/lumbar radiculopathy, plexopathy, peripheral neuropathy, or myopathy. Needle EMG is a particularly invasive test and thus it is important to minimize the pain during inspections. In this paper, we introduce the Electrodiagnosis Support System (ESS), which is a clinical decision support system specialized for neural injury diagnosis in the upper limb. ESS can guide users through the diagnosis process and assist them in making the optimal decision for minimizing unnecessary inspections and as an educational tool for medical trainees. ESS provides a graphical user interface that visualizes the neural structure of the upper limb, through which users input the results of needle EMG tests and retrieve diagnosis results. Wevalidated the accuracy of the system using the diagnosis records of 133 real patients.

    Original languageEnglish
    Pages (from-to)345-347
    Number of pages3
    JournalJournal of the American Medical Informatics Association
    Volume17
    Issue number3
    DOIs
    Publication statusPublished - 2010 May

    ASJC Scopus subject areas

    • Health Informatics

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