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Computing in Cardiology|June 23, 2016
The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICUGari D Clifford, Ikaro Silva, Benjamin Moody, et al.
Critical Care Medicine|January 16, 2020
Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019Matthew A Reyna, Christopher S Josef, Russell Jeter, et al.
Psychophysiology|November 21, 2023
Impedance cardiogram based exploration of cardiac mechanisms in post-traumatic stress disorder during trauma recallShafa-At Ali Sheikh, Amit J Shah, J Douglas Bremner, et al.
Physiological Measurement|March 24, 2021
Transfer learning from ECG to PPG for improved sleep staging from wrist-worn wearablesQiao Li, Qichen Li, Ayse S Cakmak, et al.
Journal of Medical Engineering & Technology|September 24, 2016
Automated signal quality assessment of mobile phone-recorded heart sound signalsDavid B Springer, Thomas Brennan, Ntobeko Ntusi, et al.
Physiological Measurement|August 14, 2020
An open-source automated algorithm for removal of noisy beats for accurate impedance cardiogram analysisShafa-At Ali Sheikh, Amit Shah, Oleksiy Levantsevych, et al.
Learning & Memory (Cold Spring Harbor, N.Y.)|February 17, 2019
VisMET: a passive, efficient, and sensitive assessment of visuospatial memory in healthy aging, mild cognitive impairment, and Alzheimer's diseaseRafi U Haque, Cecelia M Manzanares, Lavonda N Brown, et al.
Medrxiv : the Preprint Server for Health Sciences|December 16, 2024
Early Prediction of Hypertensive Disorders of Pregnancy Using Machine Learning and Medical Records from the First and Second TrimestersSeyedeh Somayyeh Mousavi, Kim Tierney, Chad Robichaux, et al.
Medrxiv : the Preprint Server for Health Sciences|May 20, 2024
Predicting Seizures Episodes and High-Risk Events in Autism Through Adverse Behavioral PatternsYashar Kiarashi, Johanna Lantz, Matthew A Reyna, et al.
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