Transformer architectures have become increasingly popular in healthcare applications.
Through outstanding performance in natural language processing and superior capability to …

Cardiovascular diseases (CVDs) are a global health concern, demanding advanced
healthcare solutions. Accurate identification of CVDs via electrocardiogram (ECG) analysis …

An electrocardiogram (ECG) is a diagnostic tool that captures the electrical activity of the
heart. Any irregularity in the heart's electrical system is referred to as an arrhythmia, which …

The prevalence of cardiovascular disease (CVD) has surged in recent years, making it the
foremost cause of mortality among humans. The Electrocardiogram (ECG), being one of the …

Arrhythmia is a prevalent cardiovascular disease that can unveil various heart health issues.
In recent times, the rise of wearable devices has garnered attention towards the advantages …

Adversarial attacks pose a significant threat to the integrity and reliability of
electrocardiogram (ECG) signals, compromising their use in critical applications, eg …

Integrating artificial intelligence (AI) into biomedical signal analysis represents a significant
breakthrough in enhanced precision and efficiency of disease diagnostics and therapeutics …

Methods This research reconstructed the vector model for arbitrary leads using the phase
space time delay method, enabling the model to arbitrarily combine signals as needed while …

Primary cause of dementia in older persons is Alzheimer's disease (AD). Neurodegenerative
alterations impact the brain in Alzheimer's disease. When diagnosing Alzheimer's disease …

The rapid advancement in deep learning has opened new avenues for the accurate
detection and classification of ar-rhythmias using electrocardiogram (ECG) signals. This …