Fuzzy monitoring of in-bed postural changes for the prevention of pressure ulcers using inertial sensors attached to clothing

J Biomed Inform. 2020 Jul:107:103476. doi: 10.1016/j.jbi.2020.103476. Epub 2020 Jun 18.

Abstract

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.

Keywords: Fuzzy logic; Inertial sensors; Pose recognition; Pressure ulcers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Clothing
  • Fuzzy Logic
  • Humans
  • Posture
  • Pressure Ulcer* / prevention & control