A5076792703- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Respiratory Support and Mechanisms
- Control Systems and Identification
- Vehicle Dynamics and Control Systems
- Mechanical Circulatory Support Devices
- Real-time simulation and control systems
- Cardiac Arrest and Resuscitation
- Stroke Rehabilitation and Recovery
- Healthcare Technology and Patient Monitoring
- Nonlinear Optical Materials Studies
- Safety Systems Engineering in Autonomy
- Refrigeration and Air Conditioning Technologies
- Laser-Ablation Synthesis of Nanoparticles
- Soft Robotics and Applications
- Quality and Safety in Healthcare
- Building Energy and Comfort Optimization
- Advanced Manufacturing and Logistics Optimization
- Nanoplatforms for cancer theranostics
- Laser Material Processing Techniques
- Vascular Malformations Diagnosis and Treatment
- Manufacturing Process and Optimization
- Intracranial Aneurysms: Treatment and Complications
- Intensive Care Unit Cognitive Disorders
- Anatomy and Medical Technology
Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering
2021-2024
University of Lübeck
2014-2022
Walter de Gruyter (Germany)
2020
Google (United States)
2020
Japan Science and Technology Agency
2020
Microsoft (United States)
2020
Gaussian Processes (GPs) are a versatile tool to model unknown disturbances affecting physical system. Combining the of system with nonparametric GP prior for input results in structure referred as latent force (LFM). Recently, it was (re-)discovered that using spectral factorization, GPs can be represented by equivalent/approximate state-space models driven white-noise given density. The classical regression problem turn solved efficiently Kalman filters and smoothers. In this paper, we...
Abstract In order to test medical devices, industry increasingly uses simulators closely reassembling the behaviour of physiological systems. context respiratory therapy, most available are designed based on a ventilated volume. This highly adjustable volume allowing for fast dynamical changes often leads very costintensive particularly when incorporating realistic spontaneous breathing. Therefore, in this article we introduce novel concept low-cost lung simulator, capable mimicking...
Respiratory support is one of the main components almost any intensive care therapy. The trade-off between providing adequate oxygenation and removing carbon dioxide on hand while at same time preventing or reducing ventilator-induced lung injuries a key challenge for respiratory therapist. Several decision systems are available in modern medical ventilators to clinicians with these challenging decisions, where safety core requirement. In this context, present paper aims contribute field by...
In this paper, a practical <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">model predictive control</i> (MPC) for tracking desired reference trajectories is demonstrated controlling class of nonlinear systems subject to constraints, which comprises diverse mechanical applications. Owing the xmlns:xlink="http://www.w3.org/1999/xlink">linear parameter-varying</i> (LPV) formulation associated dynamics, online MPC optimization problem solvable as...
Model predictive control (MPC) is becoming one of the leading modern approaches applied to physiological systems. However, intra- and interpatient variability usually requires an adaptation model each individual patient or otherwise deeming controller too conservative. The incorporation learning in subject ongoing intensive research provide tractable safe implementation practice. Gaussian processes (GPs) among other have been proposed for uncertain unknown system dynamics as well time...
This paper proposes a Robust Safe Control Architecture (RSCA) for safe-decision making. The system to be controlled is vehicle in the presence of bounded disturbances. RSCA consists two parts: Supervisor MPC and Controller MPC. Both are tube MPCs (TMPCs). provides safety certificate an operating controller backup control input every step. After unsafe action by predicted, takes over system. In this paper, method computation terminal set proposed, which robust against changes road curvature...
In this work, recursively feasible model predictive control (MPC) is considered for systems under additive disturbances. Combining a nonparametric Gaussian Process (GP) prior modeling the disturbance with of undisturbed system results in structure referred to as latent force (LFM). Using spectral factorization, whole LFM can be represented by an equivalent/approximate stochastic state-space used predictor MPC formulation. Chance constraints are incorporated constraint tightening using...
Abstract Respiratory support is a key element of modern medical care, ranging from oxygen therapy to full ventilatory support. A central component mechanical ventilation the control resulting pneumatic quantities such as pressure and flow. In this article use robust model predictive for pressure-controlled proposed, with goal increasing safety patient by considering physiological constraints. The uncertainty in estimation parameters well uncertainties are considered disturbances system,...
Abstract Cerebral aneurysms are common lesions in the general population and increasingly treated by endovascular procedures. Training of these methods not only improves learning period physicians but also increases patient safety. However, use traditional medical training such as living animal models is decreasing due to high costs ethical issues, so computer simulations 3D-printed phantoms being used instead. A more realistic simulation requires pulsatile blood flow that can be customized...
Abstract The level of digitalization and automation, including robotic systems, is increasing in modern operating theaters. However, the integration such systems within an already complex limited environment creates challenges, as collaboration with dynamic robots thus potential collisions. Yet, placements largely rely on empirical guidelines provided by manufacturers, which do not account for specific requirements theater layouts or individual surgical procedures. In this work, we propose a...
Abstract Minimally invasive surgical techniques, including endoscopic and robotic procedures, continue to revolutionize patient care, for their ability minimize trauma, thus promoting faster recovery reduced hospital stays. Yet, the suturing of soft tissues ensuring damage‐free tissue bonding during these procedures remains challenging due missing haptics fulcrum effect. Laser soldering has potential in overcoming issues, offering atraumatic seamless fusion. To ensure precision safety laser...
This paper presents a novel, safe control architecture (SCA) for controlling an important class of systems: safety-critical systems. Ensuring the safety decisions has always been challenge in automatic control. The proposed SCA aims to address this by using Model Predictive Controller (MPC) that acts as supervisor operating controller, sense MPC constantly checks inputs generated controller and intervenes if input is predicted lead hazardous situation foreseeable future invariably. Then...
Control
Abstract In this paper, a testing for highly automated function (HAF) is adapted from the automotive industry to therapeutic medical devices. It contains different steps achieve safety argumentation: First, scenarios of interest (SoI) based on systematic generalization failure mode and effect analysis (FMEA) are identified, then concrete generated using design experiment (DoE). These simulated virtually physically evaluated. The procedure explained with use examples.
Modern intensive care therapy as well general anesthesia would not be possible, without respiratory support. Yet, unphysiological pressure levels and gas concentrations pose a serious risk to severely harm the patient. Advanced control schemes could improve patient's safety ensure therapeutic success. Model predictive (MPC) for instance allows incorporate information about patient at runtime through an internal model of system, e.g. by using lung compliance or airway resistance parameters....
A high-quality, low-cost ventilator, dubbed HEV, has been developed by the particle physics community working together with biomedical engineers and physicians around world. The HEV design is suitable for use both in out of hospital intensive care units, provides a variety modes capable supporting spontaneous breathing supplying oxygen-enriched air. An external air supply can be combined unit situations where compressed not readily available. supports remote training post market surveillance...
Abstract In this study a physiological closed-loop system for arterial CO 2 partial pressure control was designed and comprehensively tested using set of models the respiratory gas exchange. The underlying preclinical data were collected from 12 pigs in presence severe changes hemodynamic pulmonary condition. A minimally complex nonlinear state space model exchange identified post hoc different lung conditions. variable measured noninvasively endtidal pressure. For simulation output signal...