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Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease
RESULTS: Systems detected FOG and other gait postures and showed time-frequency range by examining differentiated decomposed signals by DWT. Energy distribution and PSD graph proved the accuracy of the system. Validation is done by the LOSO method which shows 90% accuracy for the proposed method. CO...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677364/ https://www.ncbi.nlm.nih.gov/pubmed/34925552 http://dx.doi.org/10.1155/2021/7199007 |
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author | Zahra, Noore |
author_facet | Zahra, Noore |
author_sort | Zahra, Noore |
collection | PubMed |
description | RESULTS: Systems detected FOG and other gait postures and showed time-frequency range by examining differentiated decomposed signals by DWT. Energy distribution and PSD graph proved the accuracy of the system. Validation is done by the LOSO method which shows 90% accuracy for the proposed method. CONCLUSION: Observations of the clinical trials validate the proposed technique. In comparison to the previous techniques reported in literature, it is seen that the proposed method shows improvement in time and frequency resolution as well as processing time. |
format | Online Article Text |
id | pubmed-8677364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-86773642021-12-17 Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease Zahra, Noore Appl Bionics Biomech Research Article RESULTS: Systems detected FOG and other gait postures and showed time-frequency range by examining differentiated decomposed signals by DWT. Energy distribution and PSD graph proved the accuracy of the system. Validation is done by the LOSO method which shows 90% accuracy for the proposed method. CONCLUSION: Observations of the clinical trials validate the proposed technique. In comparison to the previous techniques reported in literature, it is seen that the proposed method shows improvement in time and frequency resolution as well as processing time. Hindawi 2021-12-09 /pmc/articles/PMC8677364/ /pubmed/34925552 http://dx.doi.org/10.1155/2021/7199007 Text en Copyright © 2021 Noore Zahra. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zahra, Noore Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease |
title | Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease |
title_full | Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease |
title_fullStr | Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease |
title_full_unstemmed | Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease |
title_short | Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease |
title_sort | application of wavelet in quantitative evaluation of gait events of parkinson's disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677364/ https://www.ncbi.nlm.nih.gov/pubmed/34925552 http://dx.doi.org/10.1155/2021/7199007 |
work_keys_str_mv | AT zahranoore applicationofwaveletinquantitativeevaluationofgaiteventsofparkinsonsdisease |