Development of the system for body mobility detection on bed

• Main Authors: Liang-Hsuan Lu, 呂亮萱
• Other Authors: Wen-Hsu Sung
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/84546882478578179968

碩士 === 國立陽明大學 === 物理治療暨輔助科技學系 === 103 === Background and objective: Long-term bedridden not only can decrease the physical function and cause limitations of daily activities for hospital patients, but also rare study designed validate detection system to understand the posture status on bed for bedridden patients. Therefore, accurate distinction for measuring the different status of body mobility is an important issue during hospitalization for bedridden patients. The purpose of this study was to development of a distinction system for body mobility detection on bed. Therefore, two specific aims are based on the purpose. The first specific aim was to validate the accuracy of monitoring eight levels of body mobility on bed (right or left shifting, right or left rolling, right or left side lying and sit up, right or left sit up and out of bed). The second specific aim was to establish the test-retest reliability of a system for body mobility detection on bed. Methods: Thirty healthy adults (15 female, 15 male; mean±standard deviation age = 27.8±5.3) were recruited for this study. All subjects were asked to randomized perform eight bed mobility tasks to evaluate the validity and test-retest reliability on two separate occasions approximately 14 days apart of body mobility detection measurements. Spearmen correlation was used to validate the body position measurements distinguished using this system. Intraclass correlation coefficient (ICC3,1) tests were calculated to determine the test-retest reliability for body position. SPSS version 16.0 statistical software was used. The alpha level of statistical significance was set to 0.05.This study was approved by the Institutional Review Board of Tri-Service General Hospital (TSGH). Results and Discussions: This system was highly accurate in classifying shifting, rolling, sitting and out of bed positions (r=.928, p<.001; accuracy rate: 87.9), especially in right shifting, left rolling, sitting up and out of bed on both side .For test-retest reliability of testing, the intraclass correlation coefficient value was.968 (p<.001). The accurate in classifying the posture status on bed could decrease because of the higher variability of body movement pattern for each subject. Conclusions: These results demonstrate that this system is valid and reliable when used to measure different body mobility on bed, which would be very helpful to caregiver or clinical medical officers to prevent accident for bedridden patients using this system in the future.