Abstract: The diagnosis of cardiac disorders heavily relies on electrocardiogram signal classification processes. The proposed research establishes an Enhanced Crow Search Algorithm (ECSA)-based ...

Google’s Preferred Sources feature gives users a way to choose specific publishers they want to see more often in Top Stories and other search surfaces like Google Discover. Preferred Sources is a ...

Perelman School of Medicine cardiologist Rajat Deo has been studying electrocardiographic (ECG) data and cardiac rhythms for nearly two decades at Penn. He says that every second, hospitals generate ...

ABSTRACT: Emotion regulation emerges from coordinated dynamics across autonomic, cardiovascular, electrodermal, thermoregulatory, and motor systems. Although wearable devices can continuously capture ...

A Python library for interacting with the LandingAI Agentic Document Extraction REST API, designed for flexibility, reliability, clarity, and performance. Built for Python 3.9+ and generated with ...

Magnetoencephalography (MEG) captures neural activity with high temporal and spatial resolution, but it typically discards other biopotentials, such as cardiac signals, as noise. Here, we demonstrate ...

Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...