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KMID : 1137820150360040103
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의공학회지
2015 Volume.36 No. 4 p.103 ~ p.108
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Discrimination of Parkinson's Disease from Essential Tremor using Acceleration based Tremor Analysis
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Lee Hong-Ji
Lee Woong-Woo
Jeon Hyo-Seon
Kim Sang-Kyong
Kim Han-Byul
Jeon Beom-Seok
Park Kwang-Suk
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Abstract
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Discrimination of Parkinson's disease (PD) from Essential tremor (ET) is often misdiagnosed in clinical practice. Since tremor is time-varying signal, and dominant and harmonic frequencies are shown in tremor only with moderate or severe symptom, there are some limitations to use frequency related features. Moreover, patients with PD or ET can suffer from both resting tremor and postural tremor. In this study, 28 patients with PD and 17 patients with ET were enrolled. Tremor was measured with accelerations on the more affected hand during resting and postural conditions. The ratio of root mean square (RMS) of resting tremor to RMS of postural tremor, the mean coefficients of autocorrelation function (ACF), and the mean of differences of two adjacent coefficients of ACF at resting and postural were calculated and compared between PD and ET. The performance showed 98% accuracy with support vector machine and leave-one-out cross validation. In addition, the method accurately differentiated the patients with tremor-dominant PD from patients with ET, with 100% accuracy. Therefore, the developed algorithm can assist clinicians in diagnosing and categorizing patients with tremor, especially, patients with mild symptom or the early stage of a disease, for proper treatment.
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KEYWORD
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Discrimination of Parkinson's Disease from Essential Tremor using Acceleration based Tremor Analysis
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