Spatial shape variability analysis of T-waves in the ECG signal

Abstract

Abstract-This work aims to study the shape variability of the T-waves using multi channel records. The classification between a group of subjects with Myocardial Infarction (MI) and a group of healthy subjects is obtained using a synthetic signal called Integral Shape Averaging (ISA). Our methodology is based on calculation of projection coefficients corresponding to each electrode for both groups of subjects. These coefficients represent a distance between each subject and one of the groups. This latter allows us to compare each subject to each population. These coefficients are obtained by a surface difference between the signal of each electrode in each column and the associated ISA signal. In addition, we seek for the electrode that represents the best separation between the two populations. In this study we improve previous studies and make a comparison with another approach which is a combination between the ISA technique and the calculation of shape difference.

Predicting the Effects of Cutting Parameters and Tool Geometry on Hard Turning Process Using Finite Element Method

“…The constitutive model proposed by Johnson and Cook constitutive model [7], as given in Eq. (1), has been widely adopted and validated effectively by researchers in FE simulation [8][9][10] (1) where 'A' is the initial yield stress of the material at room temperature and strain rate of 1/s, 'ß' is the hardening modulus, n is the work-hardening exponent, 'C is the strain rate dependency coefficient, and 'ni is the thermal softening coefficient. Tu is the room temperature and r,,,eii is the melting temperature of material.…”

“…Furthermore, there exists a significant disagreement among the experimental conclusions without thoroughly considering other impacting factors such as tool wear, workpiece hardness, and orientation [4,6]. But these disadvantages can be successfully avoided by finite element (FE) method simulation, which is capable of revealing the mechanism of chip morphology transition without other disturbances due to uncontrolled factors [7][8][9][10]. analysis has qualified as an excellent method to explore machining processes [11][12][13][14][15][16][17][18][19][20][21].…”