Comprehensive ECG analysis with Deep Learning on GPU accelerators

Objective: Developing a GPU accelerated Deep Learning algorithm for ECG analysis which works like the MUSE ECG system and optimizing it as an open-source, portable, and low-power GPU alternative, capable of providing comprehensive analysis.