TY - JOUR
T1 - Electrodiagnosis support system for localizing neural injury in an upper limb
AU - Shin, Hanjun
AU - Kim, Ki Hoon
AU - Song, Chihwan
AU - Lee, Injoon
AU - Lee, Kyubum
AU - Kang, Jaewoo
AU - Kang, Yoon Kyoo
PY - 2010/5
Y1 - 2010/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77955289073&partnerID=8YFLogxK
U2 - 10.1136/jamia.2009.001594
DO - 10.1136/jamia.2009.001594
M3 - Article
C2 - 20442155
AN - SCOPUS:77955289073
SN - 1067-5027
VL - 17
SP - 345
EP - 347
JO - Journal of the American Medical Informatics Association : JAMIA
JF - Journal of the American Medical Informatics Association : JAMIA
IS - 3
ER -