This paper proposes a lead method and a processing means for monitoring the 12-lead electrocardiogram (ECG) with four standard leads. Leads I, II of the M-L leads and leads V1, V6 of the chest leads are used to record the ECG signals. The ECG waveforms of leads V2 through V5 are derived from the input signals using the least squares method based on the Frank torso model. This method makes it po...

A noiseless ECG identification technology is an emerging new biometric modality. Different techniques for de-noising of ECG signal are prevalent in recent literatures such as Particle Filter (PF), wavelet transforms (WT), Empirical Mode Decomposition (EMD) & Ensemble-EMD Method. In view of the fact that Analysis of ECG signals becomes difficult to inspect the cardiac activity in the presence of...

The Electromyogram (EMG) signals recorded from the back muscles often contain large electrocardiogram (ECG) artefacts. For better interpretation of these SEMG signals, it is essential to remove ECG artefacts. This paper reports research conducted to address the problem of removing ECG artefacts from SEMG recordings using new approach of Independent Component Analysis (ICA) called Multi-step ICA...

Electrocardiogram (ECG) is a valuable technique that has been in use for over a century. The analysis of fetal ECG signal has always been an interesting topic in the field of signal processing. The presence of noises in the ECG signal causes distortion in the signal morphology. While analyzing the fetal ECG this distortion of the signal is much more severe as the fetal ECG is much weaker than t...

The ECG finds its importance in the detection of cardiac abnormalities. ECG signal processing in an embedded platform is a challenge which has to deal with several issues. Noise reduction in ECG signal is an important task of biomedical science. ECG signals are very low frequency signals of about 0.5Hz100Hz. There are various artifacts which get added in these signals and change the original si...

This paperwork presents the design and test of a microcontroller-based ECG (electrocardiogram) simulator. The ECG simulator is capable of generating nine ECG signals and a calibrated square wave (1 Hz, 1 mV at Lead II). The synthesized signals are: normal sinus rhythm (60 beats per minute – BPM, and 90 BPM), sinus bradycardia (30 BPM), sinus tachycardia (120, 180 and 240 BPM), sinus rhythm with...