Electrocardiography (ECG) plays a pivotal role in monitoring cardiac health, yet the manual
analysis of ECG signals is challenging due to the complex task of identifying and …

The variability of the ECG patterns among patients often exists in real-world application of
ECG classification and limits the generalization ability of existing ECG recognition approach …

Accurate state of health (SOH) estimation plays a significant role in the battery management
system. This paper investigates a Polak-Ribière-Polyak conjugate gradient (PRPCG) …

Abnormal cardiac functionality produces irregular heart rhythms which are commonly known
as arrhythmias. In some conditions, arrhythmias are treated as very dangerous which may …

Detecting early stages of cardiovascular disease from short-duration Electrocardiogram
(ECG) signals is challenging. However, long-duration ECG data are susceptible to various …

The development of efficient arrhythmia detection systems is crucial for physiological
measurements and computer-aided diagnosis. Existing systems rely mainly on offline …

Imbalanced data cause prediction inaccuracy of the classification model. Two types of
techniques have been devised to address this problem: pre-processing data before training …

Early diagnosis of cardiovascular disease can significantly improve patient survival rates.
Existing ECG classification research only considers offline mode, which cannot adapt to new …

[ES] Los asistentes cognitivos son dispositivos diseñados para ayudar a las personas
mayores a mantener su independencia y seguridad en el hogar. Estos dispositivos pueden …

With over 300 million iterations annually, ECG is a critical medical tool that records the
heart's electrical activity over time. It captures and displays the rhythm and electrical …