Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …

Surface electromyography (sEMG) can be used to measure the electrical activity of the
respiratory muscles. The possible applications of sEMG span from patients suffering from …

Electrocardiograms (ECGs) play a vital role in the clinical diagnosis of heart diseases. An
ECG record of the heart signal over time can be used to discover numerous arrhythmias. Our …

In this paper, we propose a new approach for heartbeat classification based on a
combination of morphological and dynamic features. Wavelet transform and independent …

In this paper, we developed and evaluated a robust single-lead electrocardiogram (ECG)
delineation system based on the wavelet transform (WT). In a first step, QRS complexes are …

An algorithm based on wavelet transforms (WT's) has been developed for detecting ECG
characteristic points. With the multiscale feature of WT's, the QRS complex can be …

The noise sensitivities of nine different QRS detection algorithms were measured for a
normal, single-channel, lead-II, synthesized ECG corrupted with five different types of …

Several adaptive filter structures are proposed for noise cancellation and arrhythmia
detection. The adaptive filter essentially minimizes the mean-squared error between a …

This paper presents a generic and patient-specific classification system designed for robust
and accurate detection of ECG heartbeat patterns. The proposed feature extraction process …

This paper presents a new robust algorithm for QRS detection using the first differential of
the ECG signal and its Hilbert transformed data to locate the R wave peaks in the ECG …