Electrocardiogram (ECG) signal is nonlinear and non-stationary weak signal which reflects
whether the heart is functioning normally or abnormally. ECG signal is susceptible to various …

Electrocardiogram (ECG) is an important diagnostic tool in medical engineering, presented
in the form of electrical signal. Its complete analysis requires three stages viz. pre …

Deep learning has achieved promising results on a broad spectrum of tasks using an end-to-
end approach, and domain-specific knowledge can be used to supplement it by either …

Proper diagnosis of clinical Electrocardiogram (ECG) is still a challenge. The minor
variations in the attributes of ECG signal cannot be examined properly by simple …

The paper presents and discusses a novel method of biometrie identification based on ECG
data. The main idea of the study is to apply Deep Neural Networks (DNN) for human …

Continuous monitoring of physiological parameters is critical in order to minimize casualties,
therefore automated healthcare computer-assisted diagnostic systems require efficient …

The human heart is a complex system exhibiting stochastic nature, as reflected in
electrocardiogram (ECG) signals. ECG signal is a weak, non-stationary, and nonlinear …

Представлен спектральный анализ электрокардиографических (ЭКГ) сигналов с целью
возможного расширения диагностики функциональных состояний. Проводится …

In this work, the design of an adaptive noise canceller (ANC) filter is presented using
modified cuckoo search (MCS) optimization technique. The proposed scheme is applied for …

Biometric human identifications are expansively reshaping security applications in the
emerging sophisticated era of smart devices. To inflate the level of security and privacy …