A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model
文献类型：期刊论文
| 作者 | Tong, Lina1; Liu, Dai-Song1; Peng, Liang2 ; Hao, Hong-Lin3; Wang, Chen2
|
| 刊名 | IEEE SENSORS JOURNAL
 |
| 出版日期 | 2023-12-01 |
| 卷号 | 23期号:23页码:29283-29292 |
| ISSN号 | 1530-437X |
| 关键词 | Bradykinesia grade inertial sensors Parkinson's disease (PD) temporal convolutional network (TCN) wearable device |
| DOI | 10.1109/JSEN.2023.3325344 |
| 通讯作者 | Wang, Chen(wangchen2016@ia.ac.cn) |
| 英文摘要 | Parkinson's disease (PD) is a kind of neurological diseases. As one of its most common symptoms, bradykinesia mainly manifests as the slowing of fine movements of the upper limbs, and it seriously affects the quality of life. In this article, a temporal convolutional network (TCN) model-based Parkinson's bradykinesia grading evaluation system is proposed. Firstly, a wearable device based on inertial sensors and low-energy Bluetooth was developed to collect kinematic information, 66 subjects from the Peking Union Medical College Hospital participated in the data collection work, and a dataset with four degrees of bradykinesia (Normal, Mild, Moderate, and Severe) was built. Afterward, a TCN model containing six residual block (RB) layers was designed for the evaluation of bradykinesia grades. The method showed better performance than the methods commonly used for bradykinesia detection in the comparison experiments. It provides a feasible method of PD bradykinesia grades assessment for assisting clinical diagnosis. |
| 资助项目 | National Key Research and Development Program of China[2022YFC3601200] ; National Natural Science Foundation of China[62203441] ; National Natural Science Foundation of China[U21A20479] ; Beijing Natural Science Foundation[4232053] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001140083100075 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation |
| 源URL | [http://ir.ia.ac.cn/handle/173211/54835]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Wang, Chen |
| 作者单位 | 1.Chinese Univ Min & Technol Beijing, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China 3.Peking Union Med Coll Hosp, Dept Neurol, Beijing 100730, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tong, Lina,Liu, Dai-Song,Peng, Liang,et al. A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model[J]. IEEE SENSORS JOURNAL,2023,23(23):29283-29292. |
| APA | Tong, Lina,Liu, Dai-Song,Peng, Liang,Hao, Hong-Lin,&Wang, Chen.(2023).A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model.IEEE SENSORS JOURNAL,23(23),29283-29292. |
| MLA | Tong, Lina,et al."A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model".IEEE SENSORS JOURNAL 23.23(2023):29283-29292. |
入库方式： OAI收割
来源：自动化研究所
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