Biomechanical monitoring and machine learning for the detection of lying postures.
Journal:
Clinical biomechanics (Bristol, Avon)
Published Date:
Sep 20, 2020
Abstract
BACKGROUND: Pressure mapping technology has been adapted to monitor over prolonged periods to evaluate pressure ulcer risk in individuals during extended lying postures. However, temporal pressure distribution signals are not currently used to identify posture or mobility. The present study was designed to examine the potential of an automated approach for the detection of a range of static lying postures and corresponding transitions between postures.