Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people's lives.
These arrhythmias can lead to potentially deadly consequences, putting your life in …

Driver distraction behavior recognition is currently a significant study area that involves
analyzing and identifying various movements, actions, and patterns exhibited by drivers …

An electrocardiogram (ECG) signal is a recording of the electrical activity generated by the
heart. The analysis of the ECG signal has been interested in more than a decade to build a …

Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …

The significance of crucial events in explaining the dynamics of a physiological system has
only been recently emerging. Crucial events are yet to be fully understood and implemented …

An electrocardiogram (ECG) uses electrodes to monitor the heart rhythm and identify minute
electrical changes that occur with each beat. It is employed to investigate particular varieties …

Globally, cardiovascular diseases (CVDs) are a leading cause of death; however, their
impact can be greatly mitigated by early detection and treatment. Machine learning (ML) …

During acquisition or transmission of the Electrocardiogram, noises generated from the
surrounded electrical equipment, the patient's motion, movement of the electrodes, or …

Inter-beat interval (IBI) measurement enables estimation of heart-tare variability (HRV)
which, in turn, can provide early indication of potential cardiovascular diseases (CVDs) …

The study investigates the use of the Rényi entropy algorithm with variable threshold and a
signal temporal multiscaling approach for analyzing RR interval signals. The study involved …