Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants

no code implementations • 21 Feb 2022 • Ankita Paul, Md. Abu Saleh Tajin, Anup Das, William M. Mongan, Kapil R. Dandekar

We propose a Deep Learning enabled wearable monitoring system for premature newborn infants, where respiratory cessation is predicted using signals that are collected wirelessly from a non-invasive wearable Bellypatch put on infant's body.

Anomaly Detection Model Selection +1