Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers
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 c...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/10/10/1125 |
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| author | Lorenz Gruenerbel Ferdinand Heinrich Jonathan Böhlhoff-Martin Lynn Röper Hans-Günther Machens Arthur Gruenerbel Moritz Schillinger Andreas Kist Franz Wenninger Martin Richter Leonard Steinbacher |
| author_facet | Lorenz Gruenerbel Ferdinand Heinrich Jonathan Böhlhoff-Martin Lynn Röper Hans-Günther Machens Arthur Gruenerbel Moritz Schillinger Andreas Kist Franz Wenninger Martin Richter Leonard Steinbacher |
| author_sort | Lorenz Gruenerbel |
| collection | DOAJ |
| description | 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 SpO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> 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. |
| first_indexed | 2024-03-10T21:26:35Z |
| format | Article |
| id | doaj.art-908629104ca04726a0967d26d21a26e9 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-10T21:26:35Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-908629104ca04726a0967d26d21a26e92023-11-19T15:41:18ZengMDPI AGBioengineering2306-53542023-09-011010112510.3390/bioengineering10101125Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure UlcersLorenz Gruenerbel0Ferdinand Heinrich1Jonathan Böhlhoff-Martin2Lynn Röper3Hans-Günther Machens4Arthur Gruenerbel5Moritz Schillinger6Andreas Kist7Franz Wenninger8Martin Richter9Leonard Steinbacher10Fraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT, 80686 Munich, GermanyFraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT, 80686 Munich, GermanyDepartment for Plastic Surgery and Hand Surgery, Technical University Munich, Hospital Rechts der Isar MRI, 81675 Munich, GermanyDepartment for Plastic Surgery and Hand Surgery, Technical University Munich, Hospital Rechts der Isar MRI, 81675 Munich, GermanyDepartment for Plastic Surgery and Hand Surgery, Technical University Munich, Hospital Rechts der Isar MRI, 81675 Munich, GermanyBavarian Foot Network, 81477 Munich, GermanyArtificial Intelligence in Communication Disorders, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, GermanyArtificial Intelligence in Communication Disorders, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, GermanyFraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT, 80686 Munich, GermanyFraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT, 80686 Munich, GermanyDepartment for Plastic Surgery and Hand Surgery, Technical University Munich, Hospital Rechts der Isar MRI, 81675 Munich, GermanyAs 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 SpO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> 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.https://www.mdpi.com/2306-5354/10/10/1125pressure ulcersdecubitusbedsorefoot ulcermachine learningdigital health |
| spellingShingle | Lorenz Gruenerbel Ferdinand Heinrich Jonathan Böhlhoff-Martin Lynn Röper Hans-Günther Machens Arthur Gruenerbel Moritz Schillinger Andreas Kist Franz Wenninger Martin Richter Leonard Steinbacher Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers Bioengineering pressure ulcers decubitus bedsore foot ulcer machine learning digital health |
| title | Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers |
| title_full | Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers |
| title_fullStr | Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers |
| title_full_unstemmed | Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers |
| title_short | Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers |
| title_sort | wearable prophylaxis tool for ai driven identification of early warning patterns of pressure ulcers |
| topic | pressure ulcers decubitus bedsore foot ulcer machine learning digital health |
| url | https://www.mdpi.com/2306-5354/10/10/1125 |
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