[HTML][HTML] ECG-based heartbeat classification for arrhythmia detection: A survey
An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
Detection of voice pathology using fractal dimension in a multiresolution analysis of normal and disordered speech signals
Voice disorders are associated with irregular vibrations of vocal folds. Based on the source
filter theory of speech production, these irregular vibrations can be detected in a non …
filter theory of speech production, these irregular vibrations can be detected in a non …
ECG feature extraction based on the bandwidth properties of variational mode decomposition
A Mert - Physiological measurement, 2016 - iopscience.iop.org
It is a difficult process to detect abnormal heart beats, known as arrhythmia, in long-term
ECG recording. Thus, computer-aided diagnosis systems have become a supportive tool for …
ECG recording. Thus, computer-aided diagnosis systems have become a supportive tool for …
Decision support system for arrhythmia beats using ECG signals with DCT, DWT and EMD methods: A comparative study
Electrocardiogram (ECG) signal is a non-invasive method, used to diagnose the patients
with cardiac abnormalities. The subjective evaluation of interval and amplitude of ECG by …
with cardiac abnormalities. The subjective evaluation of interval and amplitude of ECG by …
Cardiac arrhythmia detection using DCT based compressive sensing and random forest algorithm
T Marasović, V Papić - 2016 International Multidisciplinary …, 2016 - ieeexplore.ieee.org
The discrimination of ECG signals is of crucial importance in clinical diagnoses of cardiac
diseases. Manual analysis of ECG signals is very complex and time consuming task due to …
diseases. Manual analysis of ECG signals is very complex and time consuming task due to …
[PDF][PDF] Content-based texture image retrieval by histogram of curvelets
E Uslu, S Albayrak - Turkish Journal of Electrical Engineering …, 2016 - journals.tubitak.gov.tr
Curvelet decomposition is a multiscale analysis method defined for 2D and 3D signals that
can represent curve-like features with great sparsity. A genuine method based on …
can represent curve-like features with great sparsity. A genuine method based on …