Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices

1 code implementation • 29 Nov 2021 • Vishal Nagarajan, Ashwini Muralidharan, Deekshitha Sriraman, Pravin Kumar S

Since there is a need for the classification of bio-signals to be computationally inexpensive in the case of seizure detection, this research presents a machine learning (ML) based architecture that operates with comparable predictive performance as previous models but with minimum level configuration.

BIG-bench Machine Learning EEG +1