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...

Analysis of standard clinical electrocardiogram signal is one of the basic routine tests for preliminary screening of cardiac disorders. This work deals with classification of normal and IMI (Inferior Myocardial Infarction) ECGs and presents a method for analysis of Electrocardiogram (ECG) patterns using Cross Correlation. The application of cross correlation to two ECG beats and the cross exam...

Cardiovascular diseases have a very vital importance in human being’s life. Thus, measuring and processing the Electrocardiogram (ECG) signal has been a popular subject for years. In this study, physiological ECG data is measured using a single board computer card and e-health sensor platform. The e-Health Sensor Platform communicates with the single board computer, Raspberry Pi. ECG data is me...

In this paper, we propose a mew ECG pattern classification model based on a generic feature extraction method. The proposed classifier is applied for indicating supraventricual arrhythmia in order to verify the performance of the proposed approach. A generic approach based on a histogram of 1 derivative of signals is applied for feature extraction. Principal component analysis (PCA) is consider...

The Electrocardiogram (ECG) is a sensitive diagnostic tool that is used to detect various cardiovascular diseases by measuring and recording the electrical activity of the heart in exquisite detail. A wide range of heart condition is determined by thorough examination of the features of the ECG report. Automatic extraction of time plane features is important for identification of vital cardiac ...

This statement examines the relation of the resting ECG to its technology. Its purpose is to foster understanding of how the modern ECG is derived and displayed and to establish standards that will improve the accuracy and usefulness of the ECG in practice. Derivation of representative waveforms and measurements based on global intervals are described. Special emphasis is placed on digital sign...

Electrocardiogram (ECG) measurement using capacitively coupled electrode is a well-know method to get the ECG signal without direct skin-contact. In this paper, the belt-type system which measures ECG without direct skin-contact is designed and tested. The system consists of developed flexible active electrode (FAE), a driven-right-leg electrode and a module for signal processing and data acqui...

Digital filters plays very important role in the processing of the low frequency signals. Numbers of biomedical signals are of the low frequency. The ECG signal, which preliminary represents the condition of the heart. It has the frequency range form .5 Hz to 100Hz. Artifacts introduced in the signal create numerous difficulties against the physician. The work is the step in the direction for r...

Patients with heart disease need long-term monitoring of the electrocardiogram (ECG) signal using a portable electrocardiograph. This trend requires the miniaturization of data storage and faster transmission to medical doctors for diagnosis. The ECG signal needs to be utilized for efficient storage, processing and transmission, and its data must contain the important components for diagnosis, ...

The use of Electrocardiogram (ECG) system is important in primary diagnosis and survival analysis of the heart diseases. Growing portable mobile technologies have provided possibilities for medical monitoring for human vital signs and allow patient move around freely. In this paper, a mobile health monitoring application program is described. This system consists of the following sub-systems: r...