PhysioGAN: A Generative Model for High Fidelity Physiological Sensor Data

This paper presents 'PhysioGAN', a novel generative model specifically designed to produce high fidelity synthetic physiological sensor readings. The paper is an arXiv preprint, meaning it has not undergone peer review. It explores the potential of PhysioGAN in generating realistic and diverse physiological data, which could prove valuable for various applications.