analysis of biosignals
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Medical Sensors and Analytics

Medical Sensors and Analysis of Physiological Parameters

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Medical Image Analysis

Software based Image Analysis and Enhancement

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Mobile Healthcare
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Communication and Integrated Care

Solutions for Integrated Healthcare and Interoperability

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Digital Health Systems

Development partner for tomorrow's medicine

In industrialized nations, chronic conditions are the most common cause of death. These include cardiovascular diseases, cancer, respiratory diseases, but also mental disorders, which have a significant impact on the quality of life of patients and their families. In addition, the resulting treatment costs and absences from work pose a major economic challenge to the healthcare system.

Our goal is to help people with chronic conditions live better lives through digital medicine. Our work focuses on

  • the psycho-physiological monitoring of patients,
  • AI-based signal and data processing, and
  • the intelligent networking of data.

We are in close contact with medical experts and our interdisciplinary network of universities and clinics, so we understand the hopes and requirements involved in diagnosing, treating and caring for chronically ill patients. Together with our customers and partners from the medical engineering sector, we help patients determine their own healthcare and we improve its quality at home, at doctors’ offices and in clinics by optimally networking the supply chains.

We would be happy to carry out the complete system development for you and support you from the first feasibility analysis through to product certification in the digital health market.

Feel free to contact us for more information regarding medical sensors, integrated healthcare and image analysis. We're looking forward to hearing from you!

 

 

 

Products and Services

 

Medical Sensors and Wearables

We offer intelligent sensor modules and medical grade wearables for capturing and analysis of psycho-physiological signals.

 

Integrated Care and Interoperability Standards

We are working on a decentralized infrastructure for the exchange of data between all parties and support new IT-based services and drive digitalization forwards in medicine.

 

Image Analysis for Digital Pathology and Endoscopy

We provide you with application- and customer-specific solutions from the fields of microscopy and endoscopy. With a focus on real-time capable image analysis techniques using AI-based Deep Learning methods.


 

News & Events

Conference, October 5-7, 2021

BMT 2021

Be part of the 55th annual conference of the German Society for Biomedical Engineering!

Christian Weigand will be hosting the panel session "Digital Health Applications: from approval to prescription" and Norman Pfeiffer will give you insights on "Impact of normalization, standardization and pre-fit on the success rate of fitting in electrochemical impedance spectroscopy" during the poster session.

 

DHPcare -
sensor-based patient monitoring and individual treatment models based on clinical grade wearables

Interview

Decentralized patient monitoring: Sensors quickly detect changes in vital signs

The project M3Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.

Live Event Recording

Computational
Pathology Research in
GI Histopathology

PreciPOINT, Fraunhofer IIS

Recording of the BVM workshop 2021

Robust Slide
Cartography in Colon Cancer Histology

Evaluation on a Multi-scanner Database

ParasiteWeb - Demo platform

The online tool for training and quality control of parasite microscopy

 

Helping health authorities cope with coronavirus

Christian Weigand heads the Mobile Health Lab in Bamberg, Germany, and works at the Fraunhofer Institute for Integrated Circuits IIS. He explains how the pandemic management app can help support health authorities.

 

Digital Health Systems – Anti-coronavirus projects

Our goal: to develop solutions for medical problems in connection with the pandemic spread of the SARS CoV-2 coronavirus.

 

Smart respiratory assistance with virus filter for COVID-19 patients

Christian Hofmann is a Group Manager at the Fraunhofer Institute for Integrated Circuits IIS. He and his Medical Sensor Systems Group are working on the Filter4Flow project, which simplifies care for patients requiring respiratory assistance and could help avoid the feared bottlenecks in ventilation units.

More Information

Brochure

Engineering. Imaging. Sensors. Analysis.

Current and finished Products and Projects

Development partner for personalized medical engineering

Research and development services from a single source