“This article presents a design approach for the modeling and simulation of ultralow power (ULP) analog computing machine learning (ML) circuits for seizure detection using electroencephalography (EEG) signals in wearable health monitoring applications. In this article, we describe a new analog system modeling and simulation technique to associate power consumption, noise, linearity and other critical performance parameters of analog circuits with the classification accuracy of a given ML network.”

Find the paper and the full list of authors in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.