兰州大学机构库 >信息科学与工程学院
Depression Prevalence in Postgraduate Students and Its Association with Gait Abnormality
Fang, Jing1; Wang, Tao2; Li, Cancheng2; Hu, XP(胡希平)1,2; Ngai, Edith3; Seet, Boon-Chong4; Cheng, Jun1; Guo, Yi5; Jiang, Xin6
2019
Source PublicationIEEE Access   Impact Factor & Quartile Of Published Year  The Latest Impact Factor & Quartile
ISSN21693536
Volume7Pages:174425-174437
page numbers13
AbstractIn recent years, an increasing number of university students are found to be at high risk of depression. Through a large scale depression screening, this paper finds that around 6.5% of the university postgraduate students in China experience depression. We then investigate whether the gait patterns of these individuals have already changed as depression is suggested to associate with gait abnormality. Significant differences are found in several spatiotemporal, kinematic and postural gait parameters such as walking speed, stride length, head movement, vertical head posture, arm swing, and body sway, between the depressed and non-depressed groups. Applying these features to classifiers with different machine learning algorithms, we examine whether natural gait analysis may serve as a convenient and objective tool to assist in depression recognition. The results show that when using a random forest classifier, the two groups can be classified automatically with a maximum accuracy of 91.58%. Furthermore, a reasonable accuracy can already be achieved by using parameters from the upper body alone, indicating that upper body postures and movements can effectively contribute to depression analysis.
© 2013 IEEE.
KeywordDepression prevalence depression analysis gait abnormality machine learning
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI10.1109/ACCESS.2019.2957179
URL查看原文
Indexed BySCIE ; SSCI ; EI
Language英语
Funding Project[] ; Southern University of Science and Technology[] ; Shenzhen Graduate School, Peking University[] ; [] ; Chinese Academy of Sciences[] ; [] ; Uppsala Universitet[] ; Beijing Municipal Science and Technology Commission[Z171100000117005] ; Shenzhen Technology Development Program[JSGG20170413171746130] ; National Natural Science Foundation of China[61210010]
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000509384100004
PublisherInstitute of Electrical and Electronics Engineers Inc.
EI Accession Number20195207927676
EI KeywordsDecision trees ; Gait analysis ; Learning algorithms ; Learning systems ; Students
EI Classification NumberBiomechanics, Bionics and Biomimetics:461.3 ; Systems Science:961
Original Document TypeJournal article (JA)
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/417106
Collection信息科学与工程学院
Corresponding AuthorHu, Xiping; Jiang, Xin
Affiliation
1.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen; 518055, China
2.School of Information Science and Engineering, Lanzhou University, Gansu; 730000, China
3.Department of Information Technology, Uppsala University, Uppsala; 75105, Sweden
4.Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland; 1010, New Zealand
5.Department of Neurology, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen; 518020, China
6.Department of Geriatrics, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen; 518020, China
Corresponding Author AffilicationSchool of Information Science and Engineering
Recommended Citation
GB/T 7714
Fang, Jing,Wang, Tao,Li, Cancheng,et al. Depression Prevalence in Postgraduate Students and Its Association with Gait Abnormality[J]. IEEE Access,2019,7:174425-174437.
APA Fang, Jing.,Wang, Tao.,Li, Cancheng.,Hu, Xiping.,Ngai, Edith.,...&Jiang, Xin.(2019).Depression Prevalence in Postgraduate Students and Its Association with Gait Abnormality.IEEE Access,7,174425-174437.
MLA Fang, Jing,et al."Depression Prevalence in Postgraduate Students and Its Association with Gait Abnormality".IEEE Access 7(2019):174425-174437.
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