![]() ![]() In addition, SVR further revealed strong significant correlations between the selected discriminators and the clinical scores. Our developed analytical framework achieved an accuracy of up to 91.67% using accelerometer data and up to 91.60% using EMG signals for the differentiation of MS tremors and the tremors from ET and PD. Association between the spectral features and clinical features (FTM - Fahn-Tolosa-Marin scale, UPDRS - Unified Parkinson's Disease Rating Scale), was assessed using a support vector regression (SVR) model. The proposed method - Soft Decision Wavelet Decomposition (SDWD) - was used to compute power spectral densities and receiver operating characteristic (ROC) analysis was performed for the automatic classification of the tremors. In this study, we propose a classification method for distinguishing MS tremors from other forms of cerebellar tremors.Įlectromyogram (EMG), accelerometer and clinical data were obtained from a total of 120 subjects. Characteristic tremor frequencies in MS have a broad distribution range (1–10 Hz), which confounds the diagnostic from other forms of tremors. Tremors are frequent and disabling in people with multiple sclerosis (MS). ![]() Interrater reliability was generally good, with some variation in interpretation of scoring criteria that may reflect raters' backgrounds.Ĭonclusion: The FTRS is a reliable and potentially useful tool with which to assess movement disorders in patients with MS. Results: Intrarater reliability was generally very good, with no significant “drift” in ratings over time. Ratings of tremor were carried out by one rater on two occasions 3 months apart and by 8 raters on one occasion using FTRS. Method: Videos were made of 10 patients with MS showing their rest, postural, action/intention, and goal-related movement disorders as well as their performance of spirometry, a volumetric task, and timed functional tasks. The aim of this study was to determine the reliability of Fahn's Tremor Rating Scale (FTRS) in assessing movement disorders in patients with MS. Objective: Assessment of movement disorders in patients with multiple sclerosis (MS) is difficult because of the complex nature of the movement disorders. ![]()
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