Credibility evidence for computational patient models used in the development of physiological closed-loop controlled devices for critical care medicine

B Parvinian, P Pathmanathan, C Daluwatte… - Frontiers in …, 2019 - frontiersin.org
Physiological closed-loop controlled medical devices automatically adjust therapy delivered
to a patient to adjust a measured physiological variable. In critical care scenarios, these …

Methodological aspects of studying the mechanisms of consciousness

V Tsytsarev - Behavioural Brain Research, 2022 - Elsevier
There are at least two approaches to the definition of consciousness. In the first case, certain
aspects of consciousness, called qualia, are considered inaccessible for research from a …

[HTML][HTML] Continuous action deep reinforcement learning for propofol dosing during general anesthesia

G Schamberg, M Badgeley, B Meschede-Krasa… - Artificial Intelligence in …, 2022 - Elsevier
Purpose Anesthesiologists simultaneously manage several aspects of patient care during
general anesthesia. Automating administration of hypnotic agents could enable more …

Developing a personalized closed-loop controller of medically-induced coma in a rodent model

Y Yang, JT Lee, JA Guidera, KY Vlasov… - Journal of neural …, 2019 - iopscience.iop.org
Objective. Personalized automatic control of medically-induced coma, a critical multi-day
therapy in the intensive care unit, could greatly benefit clinical care and further provide a …

An adaptive and generalizable closed-loop system for control of medically induced coma and other states of anesthesia

Y Yang, MM Shanechi - Journal of neural engineering, 2016 - iopscience.iop.org
Objective. Design of closed-loop anesthetic delivery (CLAD) systems is an important topic,
particularly for medically induced coma, which needs to be maintained for long periods …

Cortical neurons and networks are dormant but fully responsive during isoelectric brain state

T Altwegg-Boussac, AE Schramm, J Ballestero… - Brain, 2017 - academic.oup.com
A continuous isoelectric electroencephalogram reflects an interruption of endogenously-
generated activity in cortical networks and systematically results in a complete dissolution of …

Variability in pharmacologically-induced coma for treatment of refractory status epilepticus

J An, D Jonnalagadda, V Moura, PL Purdon… - PLoS …, 2018 - journals.plos.org
Objective To characterize the amount of EEG suppression achieved in refractory status
epilepticus (RSE) patients treated with pharmacologically-induced coma (PIC). Methods We …

Controlling level of unconsciousness by titrating propofol with deep reinforcement learning

G Schamberg, M Badgeley, EN Brown - … , MN, USA, August 25–28, 2020 …, 2020 - Springer
Reinforcement Learning (RL) can be used to fit a mapping from patient state to a medication
regimen. Prior studies have used deterministic and value-based tabular learning to learn a …

Model-based drug administration: current status of target-controlled infusion and closed-loop control

MH Kuizenga, HEM Vereecke… - Current Opinion in …, 2016 - journals.lww.com
Model-based drug administration: current status of target-co... : Current Opinion in
Anesthesiology Model-based drug administration: current status of target-controlled infusion and …

Robust adaptive deep brain stimulation control of in-silico non-stationary Parkinsonian neural oscillatory dynamics

H Fang, S Berman, Y Wang… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Closed-loop deep brain stimulation (DBS) is a promising therapy for Parkinson's
disease (PD) that works by adjusting DBS patterns in real time from the guidance of …