Intelligent System for the Prevention of Pressure Ulcers by Monitoring Postural Changes with Wearable Inertial Sensors
| Autor: | Chris D. Nugent, Edna Bernal Monroy, Daniel Zafra Romero, Javier Medina-Quero, Ian Cleland, Macarena Espinilla Estevez, Federico Cruciani |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
Medical staff 030504 nursing Computer science Hospitalized patients body monitoring Work (physics) Wearable computer elder care Reduced mobility lcsh:A Wearable inertial sensors 3. Good health 03 medical and health sciences pressure ulcers 0302 clinical medicine Physical medicine and rehabilitation wearables sensor medicine 030212 general & internal medicine lcsh:General Works 0305 other medical science Mobile device Historical record |
| Zdroj: | Proceedings, Vol 31, Iss 1, p 79 (2019) UCAmI Proceedings |
| ISSN: | 2504-3900 |
| Popis: | Pressure ulcers affect the quality of life and health level of patients while causing a cost increase for the health system. Despite all of this, there is no monitoring system for this disease, even though it is very common in hospitalized patients. To resolve this issue, in this work, we present a prototype for monitoring and caring of pressure ulcers, through an intelligent system based on wearable inertial devices. The system detects the position of patients with reduced mobility while in bed, walking, or standing; providing, to medical staff and caregivers, useful information by means of mobile devices, in particular: (i) A historical record of body activity and (ii) notifications when a single position persists for a prolonged period of time. The following contributions are presented in this paper. Firstly, a technological survey of healthcare systems applied to pressure ulcers is presented. Secondly, an architecture and a methodology for modelling wearable inertial sensors for classifying body position are proposed. Finally, experimental tests with real cases were conducted to evaluate machine learning approaches and to validate the position estimation of the case study developed with four participants. |
| Databáze: | OpenAIRE |
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