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  4. Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers
 
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September 25, 2023
Journal Article
Title

Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers

Abstract
As today’s society ages, age-related diseases become more frequent. One very common but yet preventable disease is the development of pressure ulcers (PUs). PUs can occur if tissue is exposed to a long-lasting pressure load, e.g., lying on tissue without turning. The cure of PUs requires intensive care, especially for the elderly or people with preexisting conditions whose tissue needs longer healing times. The consequences are heavy suffering for the patient and extreme costs for the health care system. To avoid these consequences, our objective is to develop a pressure ulcer prophylaxis device. For that, we built a new sensor system able to monitor the pressure load and tissue vital signs in immediate local proximity at patient’s predilection sites. In the clinical study, we found several indicators showing correlations between tissue perfusion and the risk of PU development, including strongly reduced SpO2 levels in body tissue prior to a diagnosed PU. Finally, we propose a prophylaxis system that allows for the prediction of PU developments in early stages before they become visible. This work is the first step in generating an effective system to warn patients or caregivers about developing PUs and taking appropriate preventative measures. Widespread application could reduce patient suffering and lead to substantial cost savings.
Author(s)
Grünerbel, Lorenz  
Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien EMFT  
Heinrich, Ferdinand
Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien EMFT  
Böhlhoff-Martin, Jonathan
Department for Plastic Surgery and Hand Surgery, Technical University Munich, Hospital Rechts der Isar MRI, 81675 Munich, Germany
Röper, Lynn
Department for Plastic Surgery and Hand Surgery, Technical University Munich, Hospital Rechts der Isar MRI, 81675 Munich, Germany
Machens, Hans-Günther
Department for Plastic Surgery and Hand Surgery, Technical University Munich, Hospital Rechts der Isar MRI, 81675 Munich, Germany
Gruenerbel, Arthur
Bavarian Foot Network, 81477 Munich, Germany
Schillinger, Moritz
Artificial Intelligence in Communication Disorders, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
Kist, Andreas
Artificial Intelligence in Communication Disorders, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
Wenninger, Franz  
Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien EMFT  
Richter, Martin  
Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien EMFT  
Steinbacher, Leonard
Department for Plastic Surgery and Hand Surgery, Technical University Munich, Hospital Rechts der Isar MRI, 81675 Munich, Germany
Journal
Bioengineering  
Open Access
DOI
10.3390/bioengineering10101125
Language
English
Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien EMFT  
Keyword(s)
  • pressure ulcers

  • decubitus

  • Bedsore

  • foot ulcer

  • machine learning

  • digital health

  • AI

  • Prevention

  • personalized medicine

  • continuous monitoring

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