The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System

doi:10.1109/TNSRE.2021.3121780

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进机器人控制团队

	The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System
	Wang, Chen 1; Peng, Liang 1; Hou, Zeng-Guang 1,3,4; Zhang, Pu 2
刊名	IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
	2021
卷号	29 页码:2242-2251
关键词	Spasticity quantification portable assessment device modified genetic algorithm ensemble empirical mode decomposition (EEMD) multi-layer fusion
ISSN号	1534-4320
DOI	10.1109/TNSRE.2021.3121780
通讯作者	Hou, Zeng-Guang(zengguang.hou@ia.ac.cn)
英文摘要	Spasticity is a common disabling complication caused by the upper motor neurons dysfunction following neurological diseases such as stroke. Currently, the assessment of the spastic hypertonia triggered by stretch reflexes is manually performed by clinicians using perception-based clinical scales, however, their reliability is still questionable due to the inter-rater and intra-rater variability. In order to objectively quantify the complex spasticity phenomenon in post-stroke patients, this study proposed a multi-layer assessment system based on a novel measurement device. The exoskeletal device was developed to synchronously record the kinematic, biomechanical and electrophysiological information in sixteen spastic patients and ten age-matched healthy subjects, while the spastic limb was stretched at low, moderate and high velocities. The mechanical impedance of the elbow joint was identified using a modified genetic algorithm to quantify the alterations in viscoelastic properties underlying pathological resistance. Simultaneously, the time-frequency features were extracted from the surface electromyography (sEMG) signals to reveal the neurophysiological mechanisms of the spastic muscles. By concatenating these single-layer decisions, a support vector regression (SVR)-based fusion model was developed to generate a more comprehensive quantification of spasticity severity. Experimental results demonstrated that the stiffness and damping components of the spastic arm significantly deviated from the nonspastic baseline, and strong correlations were observed between the proposed spasticity assessment and the severity level measured by clinical scales (R= 0.86, P= 1.67e- 5), as well as the tonic stretch reflex threshold (TSRT) value (R = -0.89, P = 3.54e - 6). These promising results suggest that the proposed assessment system holds great potential to support the clinical diagnosis of motor abnormalities in spastic patients, and ultimately enables optimal adjustment of treatment protocols.
资助项目	National Natural Science Foundation of China[U1913601] ; National Natural Science Foundation of China[61720106012] ; Major Scientific and Technological Innovation Projects in Shandong Province[2019JZZY011111] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB32040000]
WOS关键词	MODIFIED ASHWORTH SCALE ; STRETCH REFLEX THRESHOLD ; MODIFIED TARDIEU SCALE ; RELIABILITY ; HYPERTONIA ; PATHOPHYSIOLOGY ; ACTIVATION ; REDUCTION ; MOVEMENT
WOS研究方向	Engineering ; Rehabilitation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000714200300004
资助机构	National Natural Science Foundation of China ; Major Scientific and Technological Innovation Projects in Shandong Province ; Strategic Priority Research Program of Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/46344]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者	Hou, Zeng-Guang
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Beijing Boai Hosp, China Rehabil Res Ctr, Beijing 100068, Peoples R China 3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Chen,Peng, Liang,Hou, Zeng-Guang,et al. The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2021,29:2242-2251.
APA	Wang, Chen,Peng, Liang,Hou, Zeng-Guang,&Zhang, Pu.(2021).The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,29,2242-2251.
MLA	Wang, Chen,et al."The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 29(2021):2242-2251.