Statistical methods for analysis of Parkinson’s disease gait pattern and classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/article/10.1007/s11042-019-7310-4/fulltext.html
Reference40 articles.
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2. Chen SW, Lin SH, Liao LD, Lai HY, Pei YC, Kuo TS, Tsang S (2011) Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis. Biomed Eng Online 10(1):1–21
3. Chen YY, Cho CW, Lin SH, Lai HY, Lo YC, Chen SY, Tsai ST, Tsang S (2012) A vision-based regression model to evaluate parkinsonian gait from monocular image sequences. Expert Syst Appl 39(1):520–526
4. Chen P-H, Wang R-L, Liou D-J, Shaw J-S (2013) Gait disorders in Parkinson’s disease: assessment and management. International Journal of Gerontology 7(4):189–193
5. Das KR, Rahmatullah Imon AHM (2016) A brief review of tests for normality. Am J Theor Appl Stat 5(1):5–12
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