A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor

Essential tremor (ET) and Parkinson’s disease tremor (PD) are the two most common types of tremor. Misdiagnosis of among these two groups of tremors often occurs when using clinical observations, due to overlapping of symptoms between ET and PD at the early stage of disease. To assist specialist i...

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Main Author: Boey, Keen Huang
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2018
Subjects:
Online Access:http://eprints.usm.my/54104/
http://eprints.usm.my/54104/1/A%20Comparison%20Of%20The%20Different%20Algorithms%20For%20Essential%20Tremor%20And%20Parkinson%27s%20Disease%20Tremor%20Differentiation%20Based%20On%20Hand%20Tremor_Boey%20Keen%20Huang_M4_2018.pdf
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author Boey, Keen Huang
author_facet Boey, Keen Huang
author_sort Boey, Keen Huang
building USM Institutional Repository
collection Online Access
description Essential tremor (ET) and Parkinson’s disease tremor (PD) are the two most common types of tremor. Misdiagnosis of among these two groups of tremors often occurs when using clinical observations, due to overlapping of symptoms between ET and PD at the early stage of disease. To assist specialist in making decisions when diagnosing the tremor, a tremor monitoring and differential diagnosis system is implemented using a wireless inertia measurement unit, to collect hand tremor data from patients and perform classifications of tremor. Four different types of tremor classification algorithms, namely the Tremor Stability Index (TSI), Mean Harmonic Peak Power (MHPP), Relative Energy (RE) and Empirical Mode Decomposition – Singular Value Decomposition (EMD-SVD) analysis had been tested with 153 postural tremor recordings and 154 rest tremor recordings collected from ET and PD patients. A tremor detection algorithm based on tremor intensity, dominant frequency and length of tremor had been used to select recordings significance tremor of ET and PD for analysis. 43 postural recordings (ET, n= 8 and PD, n=35) and 43 rest tremor recordings (ET, n=4 and PD, n=39) had been selected. The distribution of features extracted from each algorithm was tested with Mann Whitney U test, and the sensitivity, specificity and accuracy for each algorithms in correctly classify ET patients were analysed using receiver operating curves (ROC). The results had shown that are distinct differences between the distributions of MHPP (p=0.001) and RE (p=0.019) among ET and PD. The ROC results had showed that the MHPP had the highest accuracy in classify ET and PD (85.7%), with sensitivity and specificity of 88.6% and 87.5% respectively.
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spelling usm-541042022-08-16T02:17:11Z http://eprints.usm.my/54104/ A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor Boey, Keen Huang T Technology TJ Mechanical engineering and machinery Essential tremor (ET) and Parkinson’s disease tremor (PD) are the two most common types of tremor. Misdiagnosis of among these two groups of tremors often occurs when using clinical observations, due to overlapping of symptoms between ET and PD at the early stage of disease. To assist specialist in making decisions when diagnosing the tremor, a tremor monitoring and differential diagnosis system is implemented using a wireless inertia measurement unit, to collect hand tremor data from patients and perform classifications of tremor. Four different types of tremor classification algorithms, namely the Tremor Stability Index (TSI), Mean Harmonic Peak Power (MHPP), Relative Energy (RE) and Empirical Mode Decomposition – Singular Value Decomposition (EMD-SVD) analysis had been tested with 153 postural tremor recordings and 154 rest tremor recordings collected from ET and PD patients. A tremor detection algorithm based on tremor intensity, dominant frequency and length of tremor had been used to select recordings significance tremor of ET and PD for analysis. 43 postural recordings (ET, n= 8 and PD, n=35) and 43 rest tremor recordings (ET, n=4 and PD, n=39) had been selected. The distribution of features extracted from each algorithm was tested with Mann Whitney U test, and the sensitivity, specificity and accuracy for each algorithms in correctly classify ET patients were analysed using receiver operating curves (ROC). The results had shown that are distinct differences between the distributions of MHPP (p=0.001) and RE (p=0.019) among ET and PD. The ROC results had showed that the MHPP had the highest accuracy in classify ET and PD (85.7%), with sensitivity and specificity of 88.6% and 87.5% respectively. Universiti Sains Malaysia 2018-05-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/54104/1/A%20Comparison%20Of%20The%20Different%20Algorithms%20For%20Essential%20Tremor%20And%20Parkinson%27s%20Disease%20Tremor%20Differentiation%20Based%20On%20Hand%20Tremor_Boey%20Keen%20Huang_M4_2018.pdf Boey, Keen Huang (2018) A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanikal. (Submitted)
spellingShingle T Technology
TJ Mechanical engineering and machinery
Boey, Keen Huang
A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor
title A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor
title_full A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor
title_fullStr A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor
title_full_unstemmed A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor
title_short A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor
title_sort comparison of the different algorithms for essential tremor and parkinson’s disease tremor differentiation based on hand tremor
topic T Technology
TJ Mechanical engineering and machinery
url http://eprints.usm.my/54104/
http://eprints.usm.my/54104/1/A%20Comparison%20Of%20The%20Different%20Algorithms%20For%20Essential%20Tremor%20And%20Parkinson%27s%20Disease%20Tremor%20Differentiation%20Based%20On%20Hand%20Tremor_Boey%20Keen%20Huang_M4_2018.pdf