Degrees

PhD, Signal and Information Processing, Beijing University of Posts and Telecommunications, 2008

BSc, Information Engineering, Beijing University of Posts and Telecommunications, 2003

Professional Activities

IEEE Senior Member, 2013 – present

Reviewer, IEEE Transactions on Signal Processing, 2011 - present

Reviewer, IEEE Journal of Biomedical and Health Informatics, 2015 – present

Reviewer, IEEE Transactions on Biomedical Engineering, 2007 - present

Reviewer, IEEE Transactions on Neural Networks and Learning Systems, 2004 – present

Reviewer, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2009 - present

Selected Publications

[1] *Wu Y, Chen P, Luo X, Wu M, Liao L, Yang S, Rangayyan RM, 2017. Measuring signal fluctuations in gait rhythm time series of patients with Parkinson’s disease using entropy parameters. Biomedical Signal Processing and Control, 31: 265-271 (Elsevier: SCI/EI).

[2] *Wu Y, Chen P, Luo X, Huang H, Liao L, Yao Y, Wu M, Rangayyan RM, 2016. Quantification of knee vibroarthrographic signal irregularity associated with patellofemoral joint cartilage pathology based on entropy and envelope amplitude measure. Computer Methods and Programs in Biomedicine, 130: 1-12 (Elsevier: SCI/EI).

[3] Yang S, Cai S, Zheng F, *Wu Y, Liu K, Wu M, Zou Q, Chen J, 2014. Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method. Medical Engineering & Physics, 36(10): 1305-1311 (Elsevier: SCI/EI).

[4] *Wu Y, 2015. Knee Joint Vibroarthrographic Signal Processing and Analysis (Springer)

[5] Wu M, Liao L, Luo X, Ye X, Yao Y, Chen P, Shi L, Huang H, *Wu Y, 2016. Analysis and classification of stride patterns associated with children development using gait signal dynamics parameters and ensemble learning algorithms. BioMed Research International, 2016: 9246280 (Hindawi: SCI).

[6] *Wu Y, Yang S, Zheng F, Cai S, Lu M, Wu M, 2014. Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis. Physiological Measurement, 35(3): 429-439 (IOP: SCI).

[7] *Wu Y, Shi L, 2011. Analysis of altered gait cycle duration in amyotrophic lateral sclerosis based on nonparametric probability density function estimation. Medical Engineering & Physics, 33(3): 347-355 (Elsevier: SCI/EI).

[8] *Wu Y, Krishnan S, 2011. Combining least-squares support vector machines for classification of biomedical signals: a case study with knee-joint vibroarthrographic signals. Journal of Experimental & Theoretical Artificial Intelligence, 23(1): 63-77 (Taylor & Francis: SCI/EI).

[9] *Wu Y, Krishnan S, 2010. Statistical analysis of gait rhythm in patients with Parkinson’s disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18(2): 150-158 (IEEE: SCI/EI).

[10] *Wu Y, Krishnan S, 2009. Computer-aided analysis of gait rhythm fluctuations in amyotrophic lateral sclerosis. Medical & Biological Engineering & Computing, 47(11): 1165-1171 (Springer: SCI/EI).

[11] *Wu Y, Rangayyan RM, Zhou Y, Ng SC, 2009. Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system. Medical Engineering & Physics, 31(1): 17-26 (Elsevier: SCI/EI).