Screening of knee-joint vibroarthrographic signals using time and spectral domain features

A telehealth system framework for assessing knee-joint conditions using vibroarthrographic signals

(2019) Yashodhan Athavale et al.   Biomedical Signal Processing and Control

Time-frequency based feature extraction for the analysis of vibroarthographic signals

(2018) Saif Nalband et al.   COMPUTERS & ELECTRICAL ENGINEERING

Entropy-based feature extraction and classification of vibroarthographic signal using complete ensemble empirical mode decomposition with adaptive noise

(2018) Saif Nalband et al.   IET Science Measurement & Technology

Feature selection and classification methodology for the detection of knee-joint disorders

(2016) Saif Nalband et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method

(2014) Shanshan Yang et al.   MEDICAL ENGINEERING & PHYSICS

On the computational complexity of the empirical mode decomposition algorithm

(2014) Yung-Hung Wang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis

(2014) Yunfeng Wu et al.   PHYSIOLOGICAL MEASUREMENT

Classification of Knee Joint Vibration Signals Using Bivariate Feature Distribution Estimation and Maximal Posterior Probability Decision Criterion

(2013) Yunfeng Wu et al.   Entropy

Time-frequency analysis of band-limited EEG with BMFLC and Kalman filter for BCI applications

(2013) Yubo Wang et al.   Journal of NeuroEngineering and Rehabilitation

Fractal analysis of knee-joint vibroarthrographic signals via power spectral analysis

(2012) Rangaraj M. Rangayyan et al.   Biomedical Signal Processing and Control

Spectral Regression Based Fault Feature Extraction for Bearing Accelerometer Sensor Signals

(2012) Zhanguo Xia et al.   SENSORS

A Monotonic Degradation Assessment Index of Rolling Bearings Using Fuzzy Support Vector Data Description and Running Time

(2012) Zhongjie Shen et al.   SENSORS

Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models

(2011) Jianbo Yu   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling element bearing fault detection in industrial environments based on a K-means clustering approach

(2010) C.T. Yiakopoulos et al.   EXPERT SYSTEMS WITH APPLICATIONS

Screening of knee-joint vibroarthrographic signals using probability density functions estimated with Parzen windows

(2009) Rangaraj M. Rangayyan et al.   Biomedical Signal Processing and Control