Academic Journal
A novel plantar pressure analysis method to signify gait dynamics in Parkinson's disease
| العنوان: | A novel plantar pressure analysis method to signify gait dynamics in Parkinson's disease |
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| المؤلفون: | Yubo Sun, Yuanyuan Cheng, Yugen You, Yue Wang, Zhizhong Zhu, Yang Yu, Jianda Han, Jialing Wu, Ningbo Yu |
| المصدر: | Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 13474-13490 (2023) |
| بيانات النشر: | AIMS Press, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Biotechnology LCC:Mathematics |
| مصطلحات موضوعية: | gait disturbance, plantar pressure, sub-regions division, rbfnn, severity assessment, Biotechnology, TP248.13-248.65, Mathematics, QA1-939 |
| الوصف: | Plantar pressure can signify the gait performance of patients with Parkinson's disease (PD). This study proposed a plantar pressure analysis method with the dynamics feature of the sub-regions plantar pressure signals. Specifically, each side's plantar pressure signals were divided into five sub-regions. Moreover, a dynamics feature extractor (DFE) was designed to extract features of the sub-regions signals. The radial basis function neural network (RBFNN) was used to learn and store gait dynamics. And a classification mechanism based on the output error in RBFNN was proposed. The classification accuracy of the proposed method achieved 100.00% in PD diagnosis and 95.89% in severity assessment on the online dataset, and 96.00% in severity assessment on our dataset. The experimental results suggested that the proposed method had the capability to signify the gait dynamics of PD patients. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1551-0018 |
| Relation: | https://doaj.org/toc/1551-0018 |
| DOI: | 10.3934/mbe.2023601?viewType=HTML |
| DOI: | 10.3934/mbe.2023601 |
| URL الوصول: | https://doaj.org/article/c4be1c1ea3244d4d92ebc7a785084f38 |
| رقم الانضمام: | edsdoj.4be1c1ea3244d4d92ebc7a785084f38 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 15510018 |
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| DOI: | 10.3934/mbe.2023601?viewType=HTML |