A5062551270- Intensive Care Unit Cognitive Disorders
- Cardiac Arrest and Resuscitation
- Iterative Learning Control Systems
- Family and Patient Care in Intensive Care Units
- Anesthesia and Neurotoxicity Research
- Respiratory Support and Mechanisms
- Social Robot Interaction and HRI
- Hearing Loss and Rehabilitation
- Adaptive Control of Nonlinear Systems
- Epilepsy research and treatment
- Sensorless Control of Electric Motors
Carl von Ossietzky Universität Oldenburg
2022-2024
Educating and training medical staff in the Confusion Assessment Method for Intensive Care Unit (CAM-ICU) is time-consuming complex. This paper presents a pilot study of prospective CAM-ICU scenario using an android robot-patient (ARP). The two-stage concept including short interactive presentation hands-on exercise. During part, we compared ARP with simulated patient (SP), both imitating specific behaviors patients delirium. A questionnaire was used to evaluate use as teaching, training,...
This paper presents an optimal, robust, adaptive tuning strategy based on a linear model predictive control (LMPC) scheme for the switching gain of sliding mode (SMC). The LMPC employs moving horizon, where dynamics sliding-mode-controlled system is addressed. design presented exemplary DC drive which subject to both nonlinear friction as well uncertainty. overall has cascade structure. In inner loop currents, flatness-based used. outer involves integral angular velocity that combined with...
The importance of simulating patient behavior for medical assessment training has grown in recent decades due to the increasing variety simulation tools, including standardized/simulated patients, humanoid and android robot-patients. Yet, there is still a need improvement current robot-patients accurately simulate behavior, among which taking into account their hearing loss particular importance. This paper first consider an robot-patient its results provide valuable insights future...
This paper presents the concept and current work in progress of an android robot-patient for communication training relatives critically ill non-verbal patients with motor impairment. Additionally, this initial results a field study regarding social interactions patient need out-of-hospital intensive care. Furthermore, implementation ongoing development, different levels abstractions subsequent scenario are described. Subsequently, simulation interaction mode is implemented, presented...