Journal ArticleDOI
An automatic non-invasive method for Parkinson's disease classification
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TLDR
The proposed wavelet transform based representation of spatiotemporal gait variables can efficiently extract relevant features from the different levels of the wavelet towards the classification of Parkinson's and healthy subjects and thus, the present work is a potential candidate for the automatic noninvasive neurodegenerative disease classification.About:
This article is published in Computer Methods and Programs in Biomedicine.The article was published on 2017-07-01. It has received 92 citations till now. The article focuses on the topics: Gait (human) & Gait analysis.read more
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Journal ArticleDOI
Parkinson's disease: Cause factors, measurable indicators, and early diagnosis.
Shreya Bhat,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya,Yuki Hagiwara,Nahid Dadmehr,Hojjat Adeli +6 more
TL;DR: Parkinson's disease etiologies, progression, and in particular measurable indicators of PD such as neuroimaging and electrophysiology modalities are reviewed.
Journal ArticleDOI
Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature.
TL;DR: A comprehensive overview of data modalities and machine learning methods that have been used in the diagnosis and differential diagnosis of Parkinson's disease is provided in this paper, where a literature review of studies published until February 14, 2020, using the PubMed and IEEE Xplore databases.
Journal ArticleDOI
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
TL;DR: A state-of-the-art review of research on automated diagnosis of 5 neurological disorders in the past 2 decades using AI techniques says that CAD systems using AI and advanced signal processing techniques can assist clinicians in analyzing and interpreting physiological signals and images more effectively.
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Data-Driven Based Approach to Aid Parkinson's Disease Diagnosis
TL;DR: The obtained results show the effectiveness of the proposed methodology to discriminate PD subjects from subjects with other neurodegenerative diseases with a relatively high accuracy.
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Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels
Turker Tuncer,Sengul Dogan,Udyavara Rajendra Acharya,Udyavara Rajendra Acharya,Udyavara Rajendra Acharya +4 more
TL;DR: A combination of minimum average maximum (MAMa) tree and singular value decomposition (SVD) are used to extract the salient features from the voice signals to automatically detect Parkinson's disease using vowels.
References
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Book
Discovering Statistics Using Ibm Spss Statistics
TL;DR: The Fourth Edition of Andy Field's Discovering Statistics Using SPSS 4th Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines.
Journal ArticleDOI
Gait variability and basal ganglia disorders: Stride‐to‐stride variations of gait cycle timing in parkinson's disease and Huntington's disease
Jeffrey M. Hausdorff,Jeffrey M. Hausdorff,Merit Cudkowicz,Renée Firtion,Renée Firtion,Jeanne Y. Wei,Jeanne Y. Wei,Ary L. Goldberger,Ary L. Goldberger,Ary L. Goldberger +9 more
TL;DR: Findings are consistent with a differential control of gait variability, speed, and average gait cycle timing that may have implications for understanding the role of the basal ganglia in locomotor control and for quantitatively assessing gait in clinical settings.
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Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington’s disease
Jeffrey M. Hausdorff,Susan L. Mitchell,Renée Firtion,Chung-Kang Peng,Merit Cudkowicz,Jeanne Y. Wei,Ary L. Goldberger,Ary L. Goldberger +7 more
TL;DR: It is demonstrated that strike-interval fluctuations are more random (i.e., less correlated) in elderly subjects and in subjects with Huntington's disease, which are apparently associated with changes in central nervous system control.
Journal ArticleDOI
Dual tasking, gait rhythmicity, and Parkinson's disease: which aspects of gait are attention demanding?
Galit Yogev,Nir Giladi,Nir Giladi,Chava Peretz,Chava Peretz,Shmuel Springer,Ely S. Simon,Jeffrey M. Hausdorff,Jeffrey M. Hausdorff,Jeffrey M. Hausdorff +9 more
TL;DR: It is demonstrated that regulation of gait variability and rhythmicity is apparently an automatic process that does not demand attention in healthy adults, however, in patients with PD this ability becomes attention‐demanding and worsens when subjects perform secondary tasks.