Knowledge Commons of Institute of Automation,CAS
A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson's Patients | |
Ningcun Xu1,2; Chen Wang1; Liang Peng1; Xiao-Hu Zhou1; Jingyao Chen1,2; Zhi Cheng1,2; Zeng-Guang Hou1,3,4 | |
发表期刊 | IEEE Transactions on Biomedical Engineering |
2024 | |
页码 | 1 - 12 |
摘要 | Freezing of gait (FOG) leads to an increased risk of falls and limited mobility in individuals with Parkinson's disease (PD). However, existing research ignores the fine-grained quantitative assessment of FOG severity. This paper provides a double-hurdle model that uses typical spatiotemporal gait features to quantify the FOG severity in patients with PD. Moreover, a novel multi-output random forest algorithm is used as one hurdle of the double-hurdle model, further enhancing the model's performance. We conduct six experiments on a public PD gait database. Results demonstrate that the designed random forest algorithm in the double-hurdle model-hyperparameter independence framework achieves outstanding performances with the highest correlation coefficient (CC) of 0.972 and the lowest root mean square error (RMSE) of 2.488. Furthermore, we study the effect of drug state on the gait patterns of PD patients with or without FOG. Results show that “OFF” state amplifies the visibility of FOG symptoms in PD patients. Therefore, this study holds significant implications for the management and treatment of PD. |
学科门类 | 工学::计算机科学与技术(可授工学、理学学位) |
DOI | 10.1109/TBME.2024.3402677 |
收录类别 | SCI |
语种 | 英语 |
是否为代表性论文 | 否 |
七大方向——子方向分类 | 人工智能+医疗 |
国重实验室规划方向分类 | 智能计算与学习 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57189 |
专题 | 多模态人工智能系统全国重点实验室 |
通讯作者 | Liang Peng; Zeng-Guang Hou |
作者单位 | 1.the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences 2.the Faculty of Innovation Engineering, Macau University of Science and Technology 3.CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences 4.the School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Ningcun Xu,Chen Wang,Liang Peng,et al. A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson's Patients[J]. IEEE Transactions on Biomedical Engineering,2024:1 - 12. |
APA | Ningcun Xu.,Chen Wang.,Liang Peng.,Xiao-Hu Zhou.,Jingyao Chen.,...&Zeng-Guang Hou.(2024).A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson's Patients.IEEE Transactions on Biomedical Engineering,1 - 12. |
MLA | Ningcun Xu,et al."A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson's Patients".IEEE Transactions on Biomedical Engineering (2024):1 - 12. |
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A_Double-Hurdle_Quan(875KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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