In recent years, Electrocardiogram (ECG) plays an imperative role in heart disease diagnostics, Human Computer Interface (HCI), stress and emotional states assessment, etc. In general, ECG signals affected by noises such as baseline wandering, power line interference, electromagnetic interference, and high frequency noises during data acquisition. In order to retain the ECG signal morphology, s...

We proposed a practical ECG compression system which is beneficial for tele-monitoring cardiovascular diseases. There are two steps in the compression framework. First, we partition ECG signal into segments according to Rto R-wave periods. The partition aims at achieving more stable statistical features between segments of ECG signal which is beneficial for saving bit rates. After the partition...

This paper presents removal of noise from the ECG signal by using Digital filters designed with FIR and IIR technique. The analysis of ECG signal has great importance in the detection of cardiac abnormalities. The ECG signal is preserve of the electrical performance of heart versus time. ECG signal of a normal heart beat consists of a three parts P wave, QRS complex and T wave. The P wave refle...

Even with the development of more advanced technology of ECG, there are still problems on interference to ECG signals. Many attempts have been made to detect and eliminate the source of noises and artifacts from the original ECG signals. Several studies have been done to observe and study the EMI effect, however, most of them only focus on the EMI effect of mobile phone during ECG acquisition. ...

An Electrocardiogram signals change their statistical property over time and ECG signals are highly non-stationary signals. Growing of embedded technology has provided powerful tools to analysis of ECG. ECG is advanced recording method of bioelectric signal which is originated in the heart and it provides valuable information about the activity of human heart. Different types of features of the...

The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Generally, the recorded ECG signal is often contaminated by noise. In order to extract useful information from the noisy ECG signals, the raw ECG signals has to be processed. The baseline wandering is significant and can strongly affect ECG signal analysis. The detection of QRS complexes in an ECG signal provides inform...

Electromagnetic interference (EMI) can affect various medical devices. Herein, we report the case of EMI from wireless local area network (WLAN) on an electrocardiogram (ECG) monitoring system. A patient who had a prior myocardial infarction participated in the cardiac rehabilitation program in the sports medicine center of our hospital under the wireless ECG monitoring system. After WLAN was i...

The electrocardiogram (ECG) signal is one of the new trends techniques for human identification and authentication. So detecting all waves that formed this signal is very important for human identification and authentication. This research work proposes a new algorithm for detecting most of ECG signals like the signals that have positive R-peaks, the signals that have negative R-peaks and the s...

Different methods have been projected and used for ECG feature extraction with a substantial percentage of precise detection. However, the problem remains exposed especially regarding higher detection precision in noisy ECG. In this work, we have developed an algorithm based using LabVIEW 8.5. LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is a graphical user interface design lan...

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...