Based on a convolutional neural network (CNN) approach, this article proposes an
improved ResNet‐18 model for heartbeat classification of electrocardiogram (ECG) signals …

Intelligent tires can be used for a wide array of applications ranging from tire pressure
monitoring to analyzing tire/road interactions, wheel loading, and tread wear monitoring. In …

Electrocardiography has been employed successfully in medicine for many years to provide
vital knowledge about the cardiovascular system. Although processing and evaluation of …

In this paper, we introduce VPNet, a novel model-driven neural network architecture based
on variable projection (VP). Applying VP operators to neural networks results in learnable …

Health problems, directly or indirectly caused by cardiac arrhythmias, may threaten life. The
analysis of electrocardiogram (ECG) signals is an important diagnostic tool for assessing …

In this paper, we develop the so-called variable projection support vector machine (VP-SVM)
algorithm that is a generalization of the classical SVM. In fact, the VP block serves as an …

It has been shown that characteristic attributes of visually evoked potentials (VEPs) depend
on the color and intensity of the stimulus. This may be helpful in different scenarios, for …

In this paper we consider the continuous wavelet transform using Gaussian wavelets
multiplied by an appropriate rational term. The zeros and poles of this rational modifier act …

The ECG is a critical component of computer-aided arrhythmia detection systems since it
helps to reduce the rise in the death rate from disorders of the circulatory system. However …

In this paper, we propose a model-based shallow autoencoder structure to automatically
extract features from electrocardiogram (ECG) data. The encoding path in our model …