FaszioTrain
Development of a sensor-based medical training model for fasciotomies
Sensor-based training model for fasciotomies of the lower leg that realistically reproduces swelling and pressure on the nerve pathways.
The aim of the FaszioTrain project is to develop a realistic training environment for fasciotomies of the lower leg. Different tissue types were produced using rapid prototyping and classical manufacturing methods and integrated into a model that reproduces the physical properties, colors, and textures of real anatomical structures. The model consists of several anatomical structures that realistically represent the anatomy of the lower leg, including the different compartments.
To enable realistic simulation of fasciotomy, the model will reproduce swelling caused by blood congestion in the tissue as well as the resulting pressure on the nerve pathways. Users are intended to learn how to open the tissue correctly, work their way toward the decompression point, and achieve the best possible decompression.
More projects of the team
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CortexMap Development of a novel navigated transcranial magnetic stimulation system for efficient planning and evaluation of neurosurgical procedures, as well as optimal integration into the surgical workflow
Navigated transcranial magnetic stimulation system for non-invasive mapping of the motor cortex in patients with brain tumors – with multi-channel EMG, automatic adjustment of stimulation intensity and analysis for surgical planning.
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EyeHearU Multimodal acquisition, simulation and audiovisual enhancement for the individual training of basic functional laparoscopic skills
Training assistance system that records multimodal data from laparoscopic exercises and predicts training progress; two studies with students have been evaluated.
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ReaFBS Feedback system for reducing brain damage during cardiopulmonary resuscitation
Feedback system that measures arterial blood flow during resuscitation using Doppler ultrasound – usable by laypersons without additional training; a mobile device with automated vessel location is in development.
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NeoTapi Development of a non-invasive and contactless method for measuring physiological parameters for the detection and classification of apnea of prematurity and neonatal sepsis
Contactless measurement of respiration, heart rate and body temperature for detecting apnea of prematurity and neonatal sepsis.