Energy Efficient Feature Extraction for Single-Lead ECG Classification Based On Spiking Neural Networks

Cardiovascular diseases are the leading cause of death in the devel- oped world. Preventing these deaths, require long term monitoring and manual inspection of ECG signals, which is a very time consum- ing process. Consequently, a wearable system that can automatically categorize beats is essential.<br/>Neuromorphic machines have been introduced...

Digital Neuron Cells for Highly Parallel Cognitive Systems

The high level of realism of spiking neuron networks and their complexity require a considerable computational resources limiting the size of the realized networks. Consequently, the main challenge in building complex and biologically accurate spiking neuron network is largely set by the high computational and data transfer demands. In this...