2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.SP2025
Continuous Determination of Respiratory Rate in Hospitalized Patients using Machine Learning Applied to Electrocardiogram Telemetry
Thomas Kite, Brian Ayers, Nicholas Houstis +3
Respiration rate (RR) is an important vital sign for clinical monitoring of hospitalized patients, with changes in RR being strongly tied to changes in clinical status leading to a…
eess.SP2024★ 2 cited
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring
Thomas Kite, Uzair Tahamid Siam, Brian Ayers +2
Machine learning (ML) applied to routine patient monitoring within intensive care units (ICUs) has the potential to improve care by providing clinicians with novel insights into ea…