Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly 0001, Paulo Lisboa, Beth Pineles. Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. IEEE Trans. Emerging Topics in Comput. Intellig., 5(6):882-892, 2021. [doi]

The following publications are possibly variants of this publication:

Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural NetworkSteven Thompson, Paul Fergus, Carl Chalmers, Denis Reilly. ijcnn 2020: 1-8 [doi]

Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural NetworkSteven Thompson, Denis Reilly 0001, Paul Fergus, Carl Chalmers. access, 12:1076-1091, 2024. [doi]

runs on WebDSL