Wearable health monitoring is an emerging technology for continuous monitoring of vital
signs including the electrocardiogram (ECG). This signal is widely adopted to diagnose and …

Electrocardiographic (ECG) signal is significant to diagnose cardiac arrhythmia among
various biological signals. The accurate analysis of noisy Electrocardiographic (ECG) signal …

Recently, sparse representation has attracted a lot of interest in various areas. However, the
standard sparse representation does not consider the intrinsic structure, ie, the nonzero …

The recording of the electrocardiogram (ECG) during magnetic resonance imaging (MRI)
acquisition is of great interest and importance. Firstly, MRI acquisition is a relatively slow …

Electrocardiogram (ECG), which is a noninvasive technique, is used generally as a primary
diagnostic tool for cardiovascular diseases. In real-time scenario, noises like channel noise …

The vibration signals of wind turbines are often disturbed by strong noise and will be
annihilated when exhibiting fault or strong instability. Denoising is required prior to …

The electrocardiogram (ECG) denoising is of paramount importance for accurate disease
diagnosis, but individual differences bring great difficulties for ECG denoising, especially for …

In this paper, we propose an efficient dictionary learning algorithm for sparse representation
of given data and suggest a way to apply this algorithm to 3-D medical image denoising. Our …

Electrocardiogram (ECG), a noninvasive technique which is used generally as a primary
diagnostic tool for cardiovascular diseases. A cleaned ECG signal provides necessary …

Abstract Background In Cardiovascular Magnetic Resonance (CMR), the synchronization of
image acquisition with heart motion is performed in clinical practice by processing the …