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 ...
Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.
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, ...
Bloomsbury Institute London is located in central London’s Bloomsbury area, a historic centre of learning and culture. Many lectures, seminars and workshops take place at Birkbeck College’s Bloomsbury ...
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 ...
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