Monitoring Fetal Electroencephalogram Intrapartum: A Systematic Literature Review by Aude Castel, Yael S. Frank, John Feltner, Floyd B. Karp, Catherine M. Albright, Martin G. Frasch, Martin G. Frasch

Connect to this object online.

Predicting Patients Requiring Treatment for Depression in the Postpartum Period Using Common Electronic Medical Record Data Available Antepartum by Colin Wakefield, BSc, Martin G. Frasch, MD, PhD

Connect to this object online.

Sampling rate of heart rate variability impacts the ability to detect acidemia in ovine fetuses near-term by Lucien Daniel Durosier, Geoffrey eGreen, Izmail eBaktin, Andrew JE Seely, Michael G Ross, Bryan S Richardson, Bryan S Richardson, Martin G Frasch, Martin G Frasch

Connect to this object online.

Editorial: Fetal-maternal monitoring in the age of artificial intelligence and computer-aided decision support: A multidisciplinary perspective by Antoniya Georgieva, Patrice Abry, Ines Nunes, Ines Nunes, Martin G. Frasch

Connect to this object online.

Detection of Preventable Fetal Distress During Labor From Scanned Cardiotocogram Tracings Using Deep Learning by Martin G. Frasch, Shadrian B. Strong, David Nilosek, Joshua Leaverton, Barry S. Schifrin

Connect to this object online.

Fetal Cardiovascular Decompensation During Labor Predicted From the Individual Heart Rate Tracing: A Machine Learning Approach in Near-Term Fetal Sheep Model by Nathan Gold, Nathan Gold, Christophe L. Herry, Xiaogang Wang, Xiaogang Wang, Martin G. Frasch

Connect to this object online.

Distance to Healthy Metabolic and Cardiovascular Dynamics From Fetal Heart Rate Scale-Dependent Features in Pregnant Sheep Model of Human Labor Predicts the Evolution of Acidemia a... by Stephane G. Roux, Nicolas B. Garnier, Patrice Abry, Nathan Gold, Nathan Gold, Martin G. Frasch

Connect to this object online.