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Department
LUMOR: An App for Standardized Control and Monitoring of a Porcine Lung and its Nutrient Cycle
(2014)
Entwicklung und Vorstudien zur Implementierung mobiler Rehabilitationssysteme im häuslichen Umfeld
(2015)
Enhancements of a mechanical lung simulator for ex vivo measuring of aerosol deposition in lungs
(2012)
Respiratory diseases are characterised by high prevalence among the European population. Medical aerosol inhalers are the most commonly used means of drug delivery into the human respiratory system. This paper focuses on characteristic waveforms that can be utilised during aerosol deposition studies to simulate conditions of rapid human inhalation. Additionally, an inhalatory waveform based on clinically recorded spirometry data is introduced. Experimental measurements are performed and simulation results mutually compared using the electro-mechanical lung simulator xPULM. The inhalatory waveforms are repeatably simulated with high fidelity in regards to the waveform shape with the lowest value of the Goodness of fit 0.89. Additionally, the measured values for all characteristic inhalatory parameters are simulated with low standard deviation < 1. The differences between the required and measured waveform shapes are small, < 3 L/min and do not influence the overall inhalatory volume. This opens a possibility of utilising the xPULM for medical aerosol inhalers testing.
Changes of particle deposition caused by different breathing patterns during active lung simulation
(2019)
Aerosols are an integral part of everyday life and as such are inhaled under various conditions and circumstances. These may vary based on the health and activity status of an individual. The aim of this work is to analyse the particle deposition mechanisms during the simulation of three different breathing patterns using an aerosol representing the PM1 fraction of fine particles. The active electro-mechanical lung simulator xPULM is utilized as a driving force and is combined with a non-invasive direct reading optical aerosol measurement system. Results show differences between the number of deposited particles for the three breathing patterns and for the three typical size ranges of airborne particles. Overall, the presented approach demonstrates the possibility of determining the changes of aerosol uptake based on different breathing patterns using the electro-mechanical lung simulator and laboratory produced aerosols. Further measurement cycles must be performed in order to validate the found interactions and to characterize the major influencing parameters.
Tele-rehabilitation at home is one of the promising approaches in increasing rehabilitative success and simultaneously decreasing the
financial burden on the healthcare system. Objectives: Novel and mostly mobile devices are already in use, but shall be used in the future to a higher extent for allowing at home rehabilitation processes at a high quality level. The combination of exercises, assessments and available equipment is the basic objective of the
presented database. Methods: The database has been structured in order to allow easy-to-use and fast access for the three main user groups. Therapists – looking for exercise and equipment combinations – patients – rechecking their tasks for home exercises – and manufacturers – entering their equipment for specific use cases.
Results: The database has been evaluated by a proof of concept study and shows a high degree of applicability for the field of rehabilitative medicine. Currently it contains 110 exercises/assessments and 111 equipment/systems. Conclusion: Foundations of presented database are already established in the rehabilitative field of application, but can and will be enhanced in its functionality to be usable for a higher variety of medical fields and specificatios.
Changes of particle deposition caused by different breathing patterns during active lung simulation
(2019)
Mechanical eye model for the comparison of optical imaging quality and physiology of human vision
(2012)
Equipping rooms used for medical purposes, like e.g., intensive care units,
is an expensive and time-consuming task. In order to avoid extensive subsequent
adjustments due to inappropriate layout visualization or geometric conditions
difficult to identify in 2D plans, it is of utmost importance to provide an optimal
planning environment to future users such as physicians and nurses. In this paper
we present the concept of a fully automatized pipeline, which is designed to
visualize computer aided design (CAD) data using virtual reality (VR). The
immersive VR experience results in improvement of efficiency in the decision-
making process during the planning phase due to better spatial imagination. The
pipeline was successfully tested with CAD data from existing Intensive Care Units.
The results indicate that the pipeline can be a valuable tool in the field of spatial
planning in healthcare, due to simple usage and fast conversion of CAD data. The
next step will be the development of a plugin for CAD tools to allow for interactions
with the CAD models in Virtual Reality, which is not yet possible without manual
intervention
The healthcare sector is growing in importance as people continue to age and pandemics complicate the boundary conditions of such systems. The number of innovative approaches to solve singular tasks and problems in this area is only slowly increasing. This is particularly evident when looking at medical technology planning, medical training and process simulation. In this paper a concept for versatile digital improvements to these problems by using state of the art development methods of Virtual Reality (VR) and Augmented Reality (AR) are presented. The programming and design of the software is done with the help of Unity Engine, which provides an open interface for docking with the developed framework for future work. The solutions were tested under domain specific environments and have shown good results and positive feedback.