Background: The electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful.Objective: Removing electrocardiogram contamination from electromyogram signals.Methods: In this paper, the clean electromyogram signal, electrocardiogram artifact and e...

background: the electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful. objective: removing electrocardiogram contamination from electromyogram signals. methods: in this paper, the clean electromyogram signal, electrocardiogram artifact and...

Introduction: It has been reported that cardiovascular effects are among the possible health effects of being exposed to extremely low frequency electromagnetic fields (ELF EMSs). Material and Methods: This study has been conducted to evaluate the long term effects of exposure to magnetic and electric fields on electrocardiogram signal changes. Nine power transmission posts having different vol...

introduction: it has been reported that cardiovascular effects are among the possible health effects of being exposed to extremely low frequency electromagnetic fields (elf emss). material and methods: this study has been conducted to evaluate the long term effects of exposure to magnetic and electric fields on electrocardiogram signal changes. nine power transmission posts having different vol...

In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. P...

electrocardiogram (ecg) is one of the most common biological signals which plays a significant role in diagnosis of heart diseases. one of the most important parts of ecg signal processing is interpretation of qrs complex and obtaining its characteristics. r wave is one of the most important sections of this complex which has an essential role in diagnosis of heart rhythm irregularities and als...

in this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (anfis) for canceling maternal electrocardiogram (mecg) in fetal electrocardiogram extraction (fecg).this technique is used to estimate the mecg present in the abdominal signal of a pregnant woman. the fecg is then extracted by subtracting the estimated mecg from the abdominal signal. p...

the aim of this study is to show that the measures derived from electrocardiogram (ecg) signals many a time perform better than the same measures obtained from heart rate (hr) signals. a comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ecg signals and hr signals, and thereby discriminate between normal and cong...

background: fetal heart rate (fhr) extracted from abdominal electrocardiogram (ecg) is a powerful non-invasive method in appropriately assessing the fetus well-being during pregnancy. despite significant advances in the field of electrocardiography, the analysis of fetal ecg (fecg) signal is considered a challenging issue which is mainly due to low signal to noise ratio (snr) of fecg. objective...