A Model-Based Framework for Assessing the Physiologic Structure of Electrodermal Activity

no code implementations • IEEE Transactions on Biomedical Engineering 2021 • Sandya Subramanian, Patrick L. Purdon, Riccardo Barbieri, Emery N. Brown

At the core of our model-based paradigm is a subject-specific amplitude threshold selection process for EDA pulses based on the statistical properties of four right-skewed models including the IG.

Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning

no code implementations • 27 Aug 2020 • Gabe Schamberg, Marcus Badgeley, Emery N. Brown

We use the cross-entropy method to train a deep neural network to map an observed anesthetic state to a probability of infusing a fixed propofol dosage.

reinforcement-learning Reinforcement Learning (RL)

A Real-Time Automated Point-Process Method for the Detection and Correction of Erroneous and Ectopic Heartbeats

no code implementations • 2 Aug 2012 • Luca Citi, Emery N. Brown, Riccardo Barbieri

Our automated algorithm represents an improvement over previous procedures, with best specificity for the detection of correct beats, as well as highest sensitivity to missed and extra beats, artificially misplaced beats, and for real arrhythmic events.

Heartbeat Classification Heart Rate Variability +1