Vital parameters, forces and torques, but also temperature or impedance are variables that often have to be measured on and sometimes in humans in medical technology. We are investigating principles and procedures, but also signal conditioning and evaluation, in order to be able to provide sensors that are as small and light as possible, but also inexpensive and, in particular, powerful.
Objective
We would like to measure the most important parameters on and in humans accurately, quickly and cheaply with systems that are as small and light as possible and to forward these data to evaluation and analysis systems.
Core Research Questions
Use in the organism requires compliance with numerous rules and standards on biocompatibility and excludes many tried and tested materials. So what does a good sensor look like?
Humans are the measure of all things and this usually leads to stringent requirements for the size of a sensor. We find solutions that are not only small, but also accurate and easy to manufacture.
How can sufficiently accurate statements about the size of a vital parameter still be made from noisy or insufficient signals? To this end, we are using machine learning methods to explore ways of providing medical staff with the best possible data for making decisions about diagnosis and therapy.