The autonomic nervous system (ANS) is one of the main biological systems that regulates
the body's physiology. Autonomic nervous system regulatory capacity begins before birth as …

Medical time series are sequential data collected over time that measures health-related
signals, such as electroencephalography (EEG), electrocardiography (ECG), and intensive …

Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …

Medical data refers to health-related information associated with regular patient care or as
part of a clinical trial program. There are many categories of such data, such as clinical …

Facial expression recognition (FER) has emerged as an important component of human-
computer interaction systems. Despite recent advancements in FER, performance often …

We propose cross-modal attentive connections, a new dynamic and effective technique for
multimodal representation learning from wearable data. Our solution can be integrated into …

This paper systematically investigates the effectiveness of various augmentations for
contrastive self-supervised learning of electrocardiogram (ECG) signals and identifies the …

Over the last decade, deep learning applications in biomedical research have exploded,
demonstrating their ability to often outperform previous machine learning approaches in …

Cognitive load, the amount of mental effort required for task completion, plays an important
role in performance and decision-making outcomes, making its classification and analysis …

We propose a self-supervised contrastive learning approach for facial expression
recognition (FER) in videos. We propose a novel temporal sampling-based augmentation …