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Electrodiagnosis support system for localizing neural injury in an upper limb

Authors
Shin, HanjunKim, Ki HoonSong, ChihwanLee, InjoonLee, KyubumKang, JaewooKang, Yoon Kyoo
Issue Date
5월-2010
Publisher
OXFORD UNIV PRESS
Citation
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, v.17, no.3, pp.345 - 347
Indexed
SCIE
SSCI
AHCI
SCOPUS
Journal Title
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
Volume
17
Number
3
Start Page
345
End Page
347
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/116579
DOI
10.1136/jamia.2009.001594
ISSN
1067-5027
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. We validated the accuracy of the system using the diagnosis records of 133 real patients.
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Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
College of Medicine > Department of Medical Science > 1. Journal Articles

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