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.
Minimally invasive endoscopic surgery is a well-established surgical practice. However, decoupled hand-eye coordination, limited field of view and operating space as well as decreased depth perception are demanding for both surgeon and equipment. Surgeons are required to train their spatial awareness and instrumentation skills, but training quality and effects vary individually, depending on available resources and the predisposition of trainees.
We have developed a training assistance system that captures and records multimodal data from laparoscopic exercises, which can be used to predict training progress. Since 2024, two studies have been conducted in which the training progress of untrained students was analyzed using this technology. Based on the results, evaluation algorithms and model-based assessments were evaluated to record training progress depending on the feedback used. The results of the evaluation are currently being published and will be used for further optimization.
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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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.
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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.