A Multi-Stage Deep Residual Network for Biomedical Cyber-Physical Systems
Authors: Ankur Pandey, Ryan Sequeria, Preetam Kumar and Sudhir Kumar
Abstract: We propose a novel biomedical cyber-physical system for automated and efficient arrhythmia and seizure detection in the time-series biomedical signals such as electrocardiogram (ECG) and electroencephalography (EEG).We use a novel multi-layer, automated, and multistage deep residual network for the anomaly detection in the biomedical signals.
Publishing Date: Accepted in June 2019
Published in: IEEE Systems Journal