
ECG Atrial Fibrillation Detection
Deep learning research on detecting atrial fibrillation in 12-lead ECG signals, and how detection behaves as the signal is resampled from 500 Hz down to 62 Hz.
- Python
- TensorFlow
- PyTorch
- CNN1D
- +3
Projects
5 case studies across research, mobile, tooling, backend, web.

Deep learning research on detecting atrial fibrillation in 12-lead ECG signals, and how detection behaves as the signal is resampled from 500 Hz down to 62 Hz.

A Flutter application for working through structured theory material, backed by a Spring Boot service and a versioned PostgreSQL schema.

A Python utility for inspecting, validating and protecting PDF documents in batch, built around a scriptable command-line interface.

A Java desktop application for composing, organising and scheduling social media content from a single interface.

A production company website for HaskTolk AS with a modern frontend, service-focused content, and a secure document verification workflow.