Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System

doi:10.1155/2018/9831252

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院合肥智能机械研究所

	Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System
	Ye, Qiang 1; Xia, Yi 3; Yao, Zhiming 2
刊名	COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
	2018
页码	8
ISSN号	1748-670X
DOI	10.1155/2018/9831252
通讯作者	Xia, Yi(xiayi@ustc.edu)
英文摘要	A common feature that is typical of the patients with neurodegenerative (ND) disease is the impairment of motor function, which can interrupt the pathway from cerebrum to the muscle and thus cause movement disorders. For patients with amyotrophic lateral sclerosis disease (ALS), the impairment is caused by the loss of motor neurons. While for patients with Parkinson's disease (PD) and Huntington's disease (HD), it is related to the basal ganglia dysfunction. Previously studies have demonstrated the usage of gait analysis in characterizing the ND patients for the purpose of disease management. However, most studies focus on extracting characteristic features that can differentiate ND gait from normal gait. Few studies have demonstrated the feasibility of modelling the nonlinear gait dynamics in characterizing the ND gait. Therefore, in this study, a novel approach based on an adaptive neuro-fuzzy inference system (ANFIS) is presented for identification of the gait of patients with ND disease. The proposed ANFIS model combines neural network adaptive capabilities and the fuzzy logic qualitative approach. Gait dynamics such as stride intervals, stance intervals, and double support intervals were used as the input variables to the model. The particle swarm optimization (PSO) algorithm was utilized to learn the parameters of the ANFIS model. The performance of the system was evaluated in terms of sensitivity, specificity, and accuracy using the leave-one-out cross-validation method. The competitive classification results on a dataset of 13 ALS patients, 15 PD patients, 20 HD patients, and 16 healthy control subjects indicated the effectiveness of our approach in representing the gait characteristics of ND patients.
资助项目	Anhui Provincial Natural Science Foundation[1608085MF136] ; National Natural Science Foundation of China (NSFC) for Youth[61701483] ; Major Project of Natural Science of Jiangsu Provincial Department of Education[17KJA330001] ; 333 Project of Jiangsu Province[BRA2017454]
WOS关键词	AMYOTROPHIC-LATERAL-SCLEROSIS ; DEGENERATIVE DISEASES ; DYNAMICS ; ANFIS ; VARIABILITY ; DISORDERS ; DIAGNOSIS ; RHYTHM
WOS研究方向	Mathematical & Computational Biology
语种	英语
出版者	HINDAWI LTD
WOS记录号	WOS:000447532600001
资助机构	Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; Anhui Provincial Natural Science Foundation ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; National Natural Science Foundation of China (NSFC) for Youth ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; Major Project of Natural Science of Jiangsu Provincial Department of Education ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province ; 333 Project of Jiangsu Province
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/39813]
专题	合肥物质科学研究院_中科院合肥智能机械研究所
通讯作者	Xia, Yi
作者单位	1.Nanjing Sport Inst, Dept Sport & Hlth Sci, Nanjing 210014, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China 3.Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Ye, Qiang,Xia, Yi,Yao, Zhiming. Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System[J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,2018:8.
APA	Ye, Qiang,Xia, Yi,&Yao, Zhiming.(2018).Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System.COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,8.
MLA	Ye, Qiang,et al."Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System".COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2018):8.