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A Mathematical Model of Pressure Ulcer Formation to Facilitate Prevention and Management.
Violaris, Ioannis G; Kalafatakis, Konstantinos; Giannakeas, Nikolaos; Tzallas, Alexandros T; Tsipouras, Markos.
Afiliación
  • Violaris IG; Department of Electrical and Computer Engineering, University of Western Macedonia, 50131 Kozani, Greece.
  • Kalafatakis K; Faculty of Medicine and Dentistry (Malta Campus), Queen Mary University of London, VCT 2520 Victoria, Malta.
  • Giannakeas N; Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, School of Informatics and Telecommunications, University of Ioannina, 47100 Arta, Greece.
  • Tzallas AT; Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, School of Informatics and Telecommunications, University of Ioannina, 47100 Arta, Greece.
  • Tsipouras M; Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, School of Informatics and Telecommunications, University of Ioannina, 47100 Arta, Greece.
Methods Protoc ; 7(4)2024 Aug 13.
Article en En | MEDLINE | ID: mdl-39195441
ABSTRACT
Pressure ulcers are a frequent issue involving localized damage to the skin and underlying tissues, commonly arising from prolonged hospitalization and immobilization. This paper introduces a mathematical model designed to elucidate the mechanics behind pressure ulcer formation, aiming to predict its occurrence and assist in its prevention. Utilizing differential geometry and elasticity theory, the model represents human skin and simulates its deformation under pressure. Additionally, a system of ordinary differential equations is employed to predict the outcomes of these deformations, estimating the cellular death rate in skin tissues and underlying layers. The model also incorporates changes in blood flow resulting from alterations in skin geometry. This comprehensive approach provides new insights into the optimal bed surfaces required to prevent pressure ulcers and offers a general predictive method to aid healthcare personnel in making informed decisions for at-risk patients. Compared to existing models in the literature, our model delivers a more thorough prediction method that aligns well with current data. It can forecast the time required for an immobilized individual to develop an ulcer in various body parts, considering different initial health conditions and treatment strategies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Methods Protoc Año: 2024 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Methods Protoc Año: 2024 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza