Electrocardiography (ECG) signals are often contaminated by various kinds of noise or artifacts, for example, morphological changes due to motion artifact, non-stationary noise due to muscular contraction (EMG), etc. Some of these contaminations severely affect the usefulness of ECG signals, especially when computer aided algorithms are utilized. In this paper, a novel ECG enhancement algorithm...

This paper presents an approach to identification of small variations in sampled signals based on continuous wavelet transform and nonlinear solution of the least-mean squares problem. Proposed technique is able to distinguish changes which are not visible by direct observation. The study was performed on signals from an ECG simulator recorded by the ProCardio 8 system. The method could be used...

Biometric authentication which focuses on the identification of individuals based on their biological, physiological, or behavioral traits as a feasible approach for access control has evolved with the advancement of technology making way for the automated identification of individuals. Many studies and researchers have identified the potential of using the electrocardiogram as a biometric for ...

As an important biological signal, electrocardiogram (ECG) signals provide a valuable basis for the clinical diagnosis and treatment of several diseases. However, its reference significance is based on the effective acquisition and correct recognition of ECG signals. In fact, this mV-level weak signal can be easily affected by various interferences caused by the power of magnetic field, patient...