Real-Time Detection and Classification of Heart Arrhythmia Using ECG Feature Detection

Clients

Techstack

Purpose

Studying vaping's effect on the heart means watching the heartbeat as it happens, and dangerous rhythm problems can pass in seconds. A research team wanted to catch arrhythmias in vape users' heart signals the moment they appeared, not after the fact.

Description

We built a system that reads a subject's heart signal from a wearable sensor and analyzes the waveform live, flagging arrhythmias including cardiac ischemia, atrial fibrillation, and ventricular tachycardia as it runs. A desktop interface plots the beating trace next to each classification, so researchers see exactly what a reading found in real time. Turning a noisy biological signal into trustworthy, moment-to-moment diagnoses is precisely the kind of hard signal-processing work we take on.