Electrocardiogram (ECG) is a widely used technique to diagnose cardiovascular diseases. It
is a non-invasive technique that represents the cyclic contraction and relaxation of heart …

Purpose: Early diagnosis or detection of Alzheimer's disease (AD) from the normal elder
control (NC) is very important. However, the computer-aided diagnosis (CAD) was not …

This work presents an efficient hybridized approach for the classification of
electrocardiogram (ECG) samples into crucial arrhythmia classes to detect heartbeat …

The risk of tampering exists for conventional user recognition methods based on biometrics
such as face and fingerprint. Recently, research on user recognition using biometric signals …

Wearable electrocardiogram (ECG) devices can provide real-time, long-term, non-invasive
and comfortable ECG monitoring for premature beats (PB) assessment (typically presenting …

The postmobile era will go beyond using individual smart devices and allow for user
interaction by connecting various devices with sensing capabilities, such as smartphones …

Every human being has a different electro-cardio-graphy (ECG) waveform that provides
information about the well being of a human heart. Therefore, ECG waveform can be used …

Deep learning has been established in the last few years as the gold standard for data
processing, achieving peak performance in image, text and audio understanding. At the …

The high mortality rate that has been prevailing among cardiac patients can be reduced to
some extent through early detection of the heart-related diseases which can be done with …

To reduce the high mortality rate among heart patients, electrocardiogram (ECG) beat
classification plays an important role in computer aided diagnosis system, but this issue is …