Electrocardiogram (ECG) is an electrical recording of the heart and is used to measure the rate and regularity ofheartbeats.The cardiac arrhythmias are identified and diagnosed by analyzing the ECG signals. In this paper, the human stress assessment is the major issues taken to identify arrhythmia, where thefeature extraction is done using Discrete Wavelet Transform (DWT) technique for the purp...

Electrocardiograph (ECG) human identification has the potential to improve biometric security. However, improvements in ECG identification and feature extraction are required. Previous work has focused on single lead ECG signals. Our work proposes a new algorithm for human identification by mapping two-lead ECG signals onto a two-dimensional matrix then employing a sparse matrix method to proce...

Fetal monitoring using abdominally recorded signals (ADS) allows physicians to detect occurring changes in the well-being state of the fetus from the beginning of pregnancy. Mainly based on the fetal electrocardiogram (fECG), it provides the long-term fetal heart rate (fHR) and assessment of the fetal QRS morphology. But the fECG component in ADS is obscured by the maternal ECG (mECG), thus rem...

In this work, we apply the independent component analysis (ICA) on the extraction of artifacts from the electrocardio-graphic (ECG) signals. ECG analysis is not an easy task when artifacts (electrodes, muscle, breathing, etc) corrupts the ECG, hiding important information. If the mixed signals in the ECG recordings (heart signal and artifacts) are statistically independent, the ICA can blindly ...

The extraction and identification of ECG (electrocardiogram) signal characteristic parameters are the basis of ECG analysis and diagnosis. The fast and precise detection of QRS complexes is very important in ECG signal analysis, for it is the precondition of the correlative parameters calculation and diagnosis. In this paper, the modulus maxima of wavelet transform was applied to the QRS comple...

Background Cardiac motion self-gating is a technique where MRI signal is used to derive motion triggers instead of ECG, which might be problematic in high B0 field or cases where ECG is not accessible (e.g. fetal cardiac imaging). However, the performance of existing cardiac self-gating approaches have not yet enabled clinical utility. We propose and evaluate here a novel cardiac self-gating st...

Maternal and fetal heartbeat couplings are evident throughout development. Most of the published work, however, did not consider maternal physiological factors such as Heart Rate Variability (HRV), investigate interrelationships maternal-fetal coupling parameters. The aims this study to whether: 1) (HR) ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3....

Fetal heart rate (FHR) is the main feature for monitoring fetal well-being as recommended by International Federation of Gynecology and Obstetrics (FIGO). The ultrasound based cardiotocography (CTG) nowadays world-wide non-invasive clinical reference technique intrapartum FHR monitoring, stated FIGO. However, some limitations CTG have justified interest alternative solutions, on abdominal elect...

Background: Electrocardiogram (ECG) is defined as an electrical signal, which represents cardiac activity. Heart rate variability (HRV) as the variation of interval between two consecutive heartbeats represents the balance between the sympathetic and parasympathetic branches of the autonomic nervous system.Objective: In this study, we aimed to evaluate the efficiency of discrete wavelet transfo...

Objectives: This descriptive study was performed to evaluate the capability of a non-invasive transabdominal electrocardiographic system to extract clear fetal electrocardiographic (FECG) measurements from intrauterine growth restricted (IUGR) fetuses and to assess whether abdominal FECG parameters can be developed as markers for evaluating the fetal cardiac status in IUGR. Methods: Transabdomi...