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Detection of Freezing of Gait Using Template-Matching-Based Approaches
Joint Authors
Xu, Cheng
He, Jie
Zhang, Xiaotong
Duan, Shihong
Wang, Cunda
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Every year, injuries associated with fall incidences cause lots of human suffering and assets loss for Parkinson’s disease (PD) patients.
Thereinto, freezing of gait (FOG), which is one of the most common symptoms of PD, is quite responsible for most incidents.
Although lots of researches have been done on characterized analysis and detection methods of FOG, large room for improvement still exists in the high accuracy and high efficiency examination of FOG.
In view of the above requirements, this paper presents a template-matching-based improved subsequence Dynamic Time Warping (IsDTW) method, and experimental tests were carried out on typical open source datasets.
Results show that, compared with traditional template-matching and statistical learning methods, proposed IsDTW not only embodies higher experimental accuracy (92%) but also has a significant runtime efficiency.
By contrast, IsDTW is far more available in real-time practice applications.
American Psychological Association (APA)
Xu, Cheng& He, Jie& Zhang, Xiaotong& Wang, Cunda& Duan, Shihong. 2017. Detection of Freezing of Gait Using Template-Matching-Based Approaches. Journal of Sensors،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1186802
Modern Language Association (MLA)
Xu, Cheng…[et al.]. Detection of Freezing of Gait Using Template-Matching-Based Approaches. Journal of Sensors No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1186802
American Medical Association (AMA)
Xu, Cheng& He, Jie& Zhang, Xiaotong& Wang, Cunda& Duan, Shihong. Detection of Freezing of Gait Using Template-Matching-Based Approaches. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1186802
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186802