Background Electromyography (EMG) is a classical technique used to record electrical
activity associated with muscle contraction and is widely applied in Biomechanics …

Pressure transients have been identified as one of the major contributing factors in many
pipe failures in water distribution systems (WDSs). The behavior of these pressure transients …

Toward the goal of detecting preterm birth by characterizing events in the uterine
electromyogram (EMG), the authors propose a method of detection and classification of …

An algorithm is proposed for network anomaly detection based on the undecimated discrete
wavelet transform and Bayesian analysis. The proposed algorithm checks the wavelet …

Radial basis function (RBF) neural networks are used to classify real-life audio radar signals
that are collected by a ground surveillance radar mounted on a tank. Currently, a human …

The problem of change detection of time series with abrupt and smooth changes in the
spectral characteristics is addressed. We first review the main characteristics of the discrete …

This article proposes a method for modeling and classification apply on the uterine
contractions in the electromyogram (EMG) signal for the detection of preterm birth. The …

Detection of the moment when a muscle begins to activate on the basis of EMG signal is
important task for a number of biomechanical studies. In order to provide high accuracy of …

Procedures for detecting change points in sequences of correlated observations (eg., time
series) can help elucidate their complicated structure. Current literature on the detection of …

Although Kolmogorov-Smirnov (KS) statistic is a widely used method, some weaknesses
exist in investigating abrupt Change Point (CP) problems, eg it is time-consuming and …