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http://dx.doi.org/10.9718/JBER.2020.41.6.247

A Digital Device-Based Method for Quantifying Motor Impairment in Movement Disorders  

Bae, Suhan (School of Computer Science and Electrical Engineering, Handong Global University)
Yun, Daeun (School of Computer Science and Electrical Engineering, Handong Global University)
Ha, Jaekyung (School of Computer Science and Electrical Engineering, Handong Global University)
Gwon, Daeun (School of Computer Science and Electrical Engineering, Handong Global University)
Kim, Young Goo (Department of Neurosurgery, Ewha Womans University School of Medicine, Ewha Womans University Mokdong Hospital)
Ahn, Minkyu (School of Computer Science and Electrical Engineering, Handong Global University)
Publication Information
Journal of Biomedical Engineering Research / v.41, no.6, 2020 , pp. 247-255 More about this Journal
Abstract
Accurate diagnosis of movement disorders is important for providing right patient care at right time. In general, assessment of motor impairment relies on clinical ratings conducted by experienced clinicians. However, this may introduce subjective opinions into scoring the severity of motor impairment. Digital devices such as table PC and smart band with accelerometer can be used for more accurate and objective assessment and possibly helpful for clinicians to make right decision of patient's states. In this study, we introduce quantification algorithms of motor impairment which uses the digital data acquired during four clinical motor tests (Line drawing, Spiral drawing, Nose to finger and Hand flip tests). The step by step procedure of quantifying metrics (Tremor Frequency, Tremor Magnitude, Error Distance, Time, Velocity, Count and Period) are provided with flowchart. The effectiveness of the proposed algorithm is presented with the result from simulated data (normal, normal with tremor and slowness, poor with tremor, poor with tremor and slowness).
Keywords
Movement disorders; Motor impairment; Motor assessment; Objective quantification;
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Times Cited By KSCI : 1  (Citation Analysis)
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