The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …

An accurate and noise-robust voice activity detection (VAD) system can be widely used for
emerging speech technologies in the fields of audio forensics, wireless communication, and …

Fractal behavior is found on the topographies of pericellular brushes on the surfaces of
model healthy and cancerous cells, using dissipative particle dynamics models and …

As many services have been subcontracted to the cloud, data in such services (ie,
management applications, signal processing, and so on) are stored on cloud in encrypted …

This paper proposes a computerised method to distinguish between normal and arrhythmia
heartbeats. This is considered a significant problem as accurate and timely detection of …

Electrocardiogram (ECG) is one of the monitoring methodology for the identification of
arrhythmia disease. The conventional methodologies of arrhythmia identification are based …

Accurate prognostic tool to identify severity of Arrhythmia is yet to be investigated, owing to
the complexity of the ECG signal. In this paper, we have shown that quantitative assessment …

The development of Brain Computer Interfaces (BCI) has attracted the attention of several
research groups for solving different kind of problems in the field of medicine, device control …

An arrhythmia is a fluctuation in the continuous beat of the heart (ie, anomalous rhythm).
Arrhythmia is considered a hazardous disease causing genuine medical problems in …

Several computational techniques have been proposed in the last years to classify brain
signals in order to increase the performance of Brain-Computer Interfaces. However, there …