Fuzzy monitoring of in-bed postural changes for the prevention of pressure ulcers using inertial sensors attached to clothing
| Autor: | Javier Medina Quero, Edna Bernal Monroy, Macarena Espinilla Estevez, Aurora Polo Rodríguez |
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| Rok vydání: | 2020 |
| Předmět: |
computer.internet_protocol
Computer science media_common.quotation_subject Fuzzy model Posture ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Health Informatics Fuzzy logic Adaptability Task (project management) Clothing 03 medical and health sciences 0302 clinical medicine Fuzzy Logic Inertial measurement unit Humans Computer vision 030212 general & internal medicine Protocol (object-oriented programming) 030304 developmental biology media_common Pressure Ulcer 0303 health sciences business.industry Computer Science Applications ComputingMethodologies_PATTERNRECOGNITION SOCKS sense organs Artificial intelligence business computer |
| Zdroj: | Journal of biomedical informatics. 107 |
| ISSN: | 1532-0480 |
| Popis: | Postural changes while maintaining a correct body position are the most efficient method of preventing pressure ulcers. However, executing a protocol of postural changes over a long period of time is an arduous task for caregivers. To address this problem, we propose a fuzzy monitoring system for postural changes which recognizes in-bed postures by means of micro inertial sensors attached to patients' clothes. First, we integrate a data-driven model to classify in-bed postures from the micro inertial sensors which are located in the socks and t-shirt of the patient. Second, a knowledge-based fuzzy model computes the priority of postural changes for body zones based on expert-defined protocols. Results show encouraging performance in the classification of in-bed postures and high adaptability of the knowledge-based fuzzy approach. |
| Databáze: | OpenAIRE |
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