ECG signal printed on a graph paper has been widely used by medical examiners to analyze diseases related the heart. Medical practitioners rely historical records perform diagnosis. Constantly accessing manually could be time consuming as there are bulk of papers for examination. The proposed work aims convert into digitized remote undergoes conversion artifact before transforming ECG. In initi...

over the years, the feasibility of using electrocardiogram (ecg) signal for human identification issue has been investigated, andsome methods have been suggested. in this research, a new effective intelligent feature selection method from ecg signals hasbeen proposed. this method is developed in such a way that it is able to select important features that are necessary for identificationusing a...

Developing a mathematical model for the artificial generation of electrocardiogram (ECG) signals is a subject that has been widely investigated. One of its uses is for the assessment of diagnostic ECG signal processing devices. So the model should have the capability of producing a wide range of ECG signals, with all the nuances that reflect the sickness to which humans are prone, and this ...

With the technological advancements in field of tele-health monitoring, it is now possible to gather huge amount electro-physiological signals such as electrocardiogram (ECG). It therefore necessary develop models/algorithms that are capable analysing these massive data real-time. This paper proposes a deep learning model for real-time segmentation heartbeats. The proposed DENS-ECG algorithm, c...

Signal processing today is performed in the vast majority of systems for ECG analysis and interpretation. The objective of ECG signal processing is manifold and comprises the improvement of measurement accuracy and reproducibility (when compared with manual measurements) and the extraction of information not readily available from the signal through visual assessment. In many situations, the EC...

introduction:in this study, ecg signals have been embedded into medical images to create a novel blind watermarking method. the embedding is done when the original image is compressed using the ezw algorithm. the extraction process is performed at the decompression time of the watermarked image. materials and methods: the multi-resolution watermarking with a secret key algorithm developed in th...

Fetal heart monitoring yields vital information about the fetus health and can support medical decision making in critical situations. A compound signal is obtained non-invasively by placing electrodes on the abdomen area of the mother which contains maternal and fetal ECG signals contaminated by various other signals from body and externally induced noises. The Polynomial Networks technique ha...