Spike-based QRS complex detection in ECG signals

Description

The problem of QRS detection in ECG signals addresses the identification of heart beats in electrocardiogram signals. This pattern detection problem for bio-signals is taken as a use case to investigate the feasibility and effectiveness of spike-based encoding of time-varying signals by means of threshold-based sampling. We compare the state-of-the-art detection algorithm based on equidistant sampling with threshold-based approaches, comprising signal processing techniques and spiking neural networks (SNN). In contrast to equidistant sampling, this approach allows a reduction of the input data stream by a factor of 10 on average while maintaining comparable detection performance.

Period	26 Mar 2024
Event title	AIRoV – The First Austrian Symposium on AI, Robotics, and Vision
Event type	Conference
Location	AustriaShow on map