title: Body posture recognition and turning recording system for the care of bed bound patients.
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%.
authors.affiliation: Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan.
authors.forename: Rong-Shue
authors.initials: RS
authors.lastname: Hsiao
authors.affiliation: School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China.
authors.forename: Zhenqiang
authors.initials: Z
authors.lastname: Mi
authors.affiliation: School of Physics and Engineering, Sun Yat-Sen University, and with SYSU-CMU Shunde International Joint Research Institute, Guangzhou, China.
authors.forename: Bo-Ru
authors.initials: BR
authors.lastname: Yang
authors.affiliation: Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan.
authors.forename: Lih-Jen
authors.initials: LJ
authors.lastname: Kau
authors.affiliation: Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan.
authors.forename: Mekuanint Agegnehu
authors.initials: MA
authors.lastname: Bitew
authors.affiliation: Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan.
authors.forename: Tzu-Yu
authors.initials: TY
authors.lastname: Li
mesh_terms: D000465:Algorithms; D017143:Fuzzy Logic; D006801:Humans; D009735:Nursing Homes / Q000458:organization & administration*; D011187:Posture; D011312:Pressure; D003668:Pressure Ulcer / Q000517:prevention & control*; D058998:Remote Sensing Technology / Q000295:instrumentation* / Q000379:methods*; D012985:Software Design
keywords: Bed sensing; body posture; force sensing resistor; healthcare; posture recognition