This paper presents a method to analyze electrocardiogram (ECG) signal, extract the features, for the real time human identification. Data were obtained from short-term Lead-I ECG records (only one lead) of forty students at Paris Est University (UPEC). Signal averaging was applied to generate ECG databases and templates for reducing the noise recorded with palm ECG signals. Time domain signal ...

Fetal electrocardiogram (Fetal ECG) extraction is an interesting as well as a difficult problem in signal processing. The original FECG signal is nevertheless very complex and severely contaminated by external disturbances or noises. Identification of these cases during early pregnancy reduces risks by timely treatment or planned delivery. This paper presents simulation results of fetal ECG sig...

Blind Source Separation is an optimization method frequently used in statistical signal processing applications. There are many application areas such as ambient listening, denoising, detection, and so on. In this study, a new Strength Pareto Evolutionary Algorithm 2-based separation proposed, which combines Multi-Objective Optimization algorithms. The proposed has been tested for widely biomed...

The fetal heart rate (fHR) variability and electrocardiogram (fECG) are considered the most important sources of information about wellbeing. Non-invasive monitoring analysis fECG paramount for clinical trials. They enable examining health status detecting changes associated with insufficient oxygenation to cut likelihood hypoxic inj...

Cardiovascular system study using Electrocardiogram (ECG) signals have evolved tremendously in the research domain of medical electronics and signal processing community. The extraction of characteristic points of an ECG signal helps in detection of any irregularities if present. This paper attempts to provide the basic understanding of ECG signal, pre-processing and extraction of fiducial poin...

The rapid growth of the medical technologies and constant renewal of medical facilities, electrocardiography (ECG) provides an effective and easy to use means for arrhythmia classification and heart rate variability (HRV) analysis. Most of the existing ECG device has the disadvantage of poor local signal processing ability. After thorough investigation, Android platform is adopted to develop an...