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...

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...

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...

in this study, a method for determining the location and extent of myocardial infarction using body surface potential map data that is obtained from physionet challenge 2007 database has been suggested. this data is related to four patients with myocardial infarction that we used from two patients as training set to determine rules, and from two other patients for testing set and the conclusion...

Developing a mathematical model for the artificial generation of electrocardiogram (ECG) signals is a subject that has been widely investigated. One of its uses is for the assessment of diagnostic ECG signal processing devices. So the model should have the capability of producing a wide range of ECG signals, with all the nuances that reflect the sickness to which humans are prone, and this ...

In this study, a mathematical model is developed based on algebraic equations which is capable of generating artificially normal events of electrocardiogram (ECG) signals such as P-wave, QRS complex, and T-wave. This model can also be implemented for the simulation of abnormal phenomena of electrocardiographic signals such as ST-segment episodes (i.e. depression, elevation, and sloped ascending...

over the years, the feasibility of using electrocardiogram (ecg) signal for human identification issue has been investigated, andsome methods have been suggested. in this research, a new effective intelligent feature selection method from ecg signals hasbeen proposed. this method is developed in such a way that it is able to select important features that are necessary for identificationusing a...

background: various techniques are used in diagnosing cardiac diseases. the electrocardiogram is one of these tools in common use. in this study vectorcardiogram ) vcg ( signals are used as a tool for detection of cardiac ischemia. methods: vcg signals used in this study were obtained form 60 patients suspected to have ischemia disease and 10 normal candidates. verification of the ischemia had ...