Ensure data pipeline reliability and troubleshoot issues fast by using standard Python logging directly in BigQuery UDFs for real-time observability.

Researchers trained seven machine-learning models on structured ECG reports from more than 11,000 hospitalized children and ...

Meghan Hegarty-Craver is a biomedical research engineer specializing in signal processing for wearable sensors, extracting heart rate and heart rate variability metrics from electrocardiogram (ECG) ...

This project aims to develop an affordable, battery-powered, machine learning-based portable device to detect Atrial Fibrillation (AFib) using Photoplethysmography (PPG). AFib, a common cardiac ...

An end-to-end Machine Learning pipeline and real-time clinical monitoring application built using the MIT-BIH Arrhythmia Database. The system processes multi-lead electro-cardiogram (ECG) signals, ...

Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic chips with high energy efficiency by introducing neural dynamics and spike properties. As the emerging spiking ...

Electrocardiography (ECG) is the method most often used to diagnose cardiovascular diseases. To obtain a high-quality recording, the person conducting an ECG must be a trained expert. When these ...

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