Affiliations: [a] Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan | [b] School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China | [c] School of Physics and Engineering, Sun Yat-Sen University, and with SYSU-CMU Shunde International Joint Research Institute, Guangzhou, China
Correspondence:
[*]
Corresponding author: Rong-Shue Hsiao, Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan. E-mail:rshsiao@ntut.edu.tw
Abstract: This paper proposes
body posture recognition and turning recording
system for assisting the care of bed bound patients in nursing
homes. The system continuously detects the patient's body posture and
records the length of time for each body posture. If the patient remains in
the same body posture long enough to develop pressure ulcers, the system
notifies caregivers to change the patient's body posture. The objective of
recording is to provide the log of body turning for querying of patients'
family members. In order to accurately detect patient's body posture, we
developed a novel pressure sensing pad which contains force sensing resistor
sensors. Based on the proposed pressure sensing pad, we developed a bed
posture recognition module which includes a bed posture recognition
algorithm. The algorithm is based on fuzzy theory. The body posture
recognition algorithm can detect the patient's bed posture whether it is
right lateral decubitus, left lateral decubitus, or supine. The detected
information of patient's body posture can be then transmitted to the server
of healthcare center by the communication module to perform the functions of
recording and notification. Experimental results showed that the average
posture recognition accuracy for our proposed module is 92%.
Keywords: Bed sensing, force sensing resistor, body posture, posture recognition, healthcare
