A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model

doi:10.1109/JSEN.2023.3325344

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	A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model
	Tong, Lina 1; Liu, Dai-Song 1; Peng, Liang 2; Hao, Hong-Lin 3; Wang, Chen 2
刊名	IEEE SENSORS JOURNAL
	2023-12-01
卷号	23 期号:23 页码:29283-29292
关键词	Bradykinesia grade inertial sensors Parkinson's disease (PD) temporal convolutional network (TCN) wearable device
ISSN号	1530-437X
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
内容类型	期刊论文
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.