https://scholars.lib.ntu.edu.tw/handle/123456789/641101
標題: | Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning-PathoOpenGait | 作者: | Ho, Ming-Yang MING-CHE KUO Chen, Ciao-Sin Wu, Ruey-Meei Chuang, Ching-Chi Shih, Chi-Sheng YUFENG JANE TSENG |
關鍵字: | cloud-based platform | deep learning | Gait analysis | neurodegenerative diseases | semi-supervised learning | 公開日期: | 二月-2024 | 卷: | 28 | 期: | 2 | 來源出版物: | IEEE journal of biomedical and health informatics | 摘要: | We present PathoOpenGait, a cloud-based platform for comprehensive gait analysis. Gait assessment is crucial in neurodegenerative diseases such as Parkinson's and multiple system atrophy, yet current techniques are neither affordable nor efficient. PathoOpenGait utilizes 2D and 3D data from a binocular 3D camera for monitoring and analyzing gait parameters. Our algorithms, including a semi-supervised learning-boosted neural network model for turn time estimation and deterministic algorithms to estimate gait parameters, were rigorously validated on annotated gait records, demonstrating high precision and consistency. We further demonstrate PathoOpenGait's applicability in clinical settings by analyzing gait trials from Parkinson's patients and healthy controls. PathoOpenGait is the first open-source, cloud-based system for gait analysis, providing a user-friendly tool for continuous patient care and monitoring. It offers a cost-effective and accessible solution for both clinicians and patients, revolutionizing the field of gait assessment. PathoOpenGait is available at https://pathoopengait.cmdm.tw. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/641101 | ISSN: | 21682194 | DOI: | 10.1109/JBHI.2023.3340716 |
顯示於: | 醫學院附設癌醫中心醫院(臺大癌醫) |
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