Prevention and effective treatment of cardiovascular disease are progressive issues that
grow in tandem with the average age of the world population. Over recent decades, the …

Arrhythmia is a life-threatening cardiac condition characterized by irregular heart rhythm.
Early and accurate detection is crucial for effective treatment. However, single-lead …

The measurement and analysis of vital signs are a subject of significant research interest,
particularly for monitoring the driver's physiological state, which is of crucial importance for …

Background Deep learning-based models for atrial fibrillation (AF) detection require
extensive training data, which often necessitates labor-intensive professional annotation …

Analysis of fluctuations in electrodermal activity (EDA) signals is widely preferred for emotion
recognition. In this work, an attempt has been made to determine the patterns of fluctuations …

The sensors used in the Internet of Medical Things (IoMT) network run on batteries and need
to be replaced, replenished or should use energy harvesting for continuous power needs …

In this paper, we proposed the implementation of a simple and lightweight Atrial Fibrillation
detection based on an improved Variable Step Dynamic Threshold Local Binary Pattern …

The absence of P waves through electrocardiogram (ECG) tracing causes atrial fibrillation
(AF) affecting around 1% of the global population. In recent years, wearable and portable …

Detection of atrial fibrillation (AF) events is significant for early clinical diagnosis and
appropriate intervention. However, in existing detection algorithms for paroxysmal AF (AFp) …

National infrastructure is a material engineering facility that provides public services for
social production and residents' lives, and a large-scale complex device or system is used to …