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

doi:10.1109/JSEN.2023.3325344

	A Graded Assessment System for Parkinson's Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model
	Tong, Lina 1; Liu, Dai-Song 1; Peng, Liang2 ; Hao, Hong-Lin 3; Wang, Chen2
发表期刊	IEEE SENSORS JOURNAL
ISSN	1530-437X
	2023-12-01
卷号	23 期号:23 页码:29283-29292
通讯作者	Wang, Chen(wangchen2016@ia.ac.cn)
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.
关键词	Bradykinesia grade inertial sensors Parkinson's disease (PD) temporal convolutional network (TCN) wearable device
DOI	10.1109/JSEN.2023.3325344
关键词[WOS]	FIBER-BRAGG GRATINGS ; ACOUSTIC-EMISSION ; SENSORS
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China
项目资助者	National Key Research and Development Program of China
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
WOS类目	Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied
WOS记录号	WOS:001161161900080
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/56922
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 S, Beijing 100190, Peoples R China 3.Peking Union Med Coll Hosp, Dept Neurol, Beijing 100730, Peoples R China
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	Tong, Lina,Liu, Dai-Song,Peng, Liang,et al. A Graded Assessment System for Parkinson's 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 Parkinson's 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 Parkinson's Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model".IEEE SENSORS JOURNAL 23.23(2023):29283-29292.