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Signal analysis and digital biomarkers, FHNW School of Life Sciences

School of Life Sciences


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Research fields
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Sensors, signal analysis, signal extraction and display of digital biomarkers for diagnostic and therapeutic decisions

Today, sophisticated signal processing of biological patient data allows the maximum amount of relevant information to be extracted from data obtained during patient examinations. Such careful analysis leads to faster and more reliable diagnosis without exposing patients to additional risks or burdens.

Our research group focuses on the entire signal chain, starting from sensors (often electrodes or sensor arrays) to signal analysis, signal extraction and display of cleaned digital biomarkers relevant for diagnostic or therapeutic decision-making.

To this end, we collaborate with various Swiss university hospitals and develop new diagnostic methods, which, thanks to real-time analysis, also lead to shorter and safer surgery. Our group also has collaborations with industrial partners who need specific expertise in our fields or have a need for joint research.

Stories

Story

Improving wound healing after C-sections

Reto Wildhaber’s team has developed a visualisation technology to better illuminate corrective surgery after caesarian sections.
Date
30.4.2025
Institute
Institute for Medical Engineering and Medical Informatics

Publications

Contact

Reto Wildhaber

Prof. Dr. sc. ETH, Dr. med. Reto Wildhaber

Team leader, Signal Analysis and Digital Biomarkers
Phone
+41 61 228 61 25
E-Mail
reto.wildhaber@fhnw.ch

Team

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Life Sciences FHNW University of Applied Sciences and Arts Northwestern Switzerland

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