Reliability of static balance abilities measure using a smartphone's acceleration sensor

Abstract

The purpose of this study is to investigate the reliability of static balance measurements using a smartphone.Thirty subjects were selected among university students who had no fractures, history of operation, or inflammatory arthritis, and they had not started regular exercise during the past three months. The smartphone used in this study was a Galaxy S5LTE (SM-G900F, Samsung, Korea, 2014), and the application was a Sensor Kinetics Pro (Ver. 2.1.2, INNOVENTIONS Inc., US, 2015). Static balance ability was measured three times at one-day intervals between tests and retests. The first and second measurements used the same process. Analysis was done using the Wilcoxon signed rank test and intraclass correlation coefficient (ICC (2,1)). The results were as follows. With eyes opened, there was no significant difference (p>0.05), a high volume of correlation (r>0.75, p<0.05), and very high reliability (ICC>0.80) between the first measurement and second measurement. With eyes closed, there was also no significant difference (p>0.05), a high volume of correlation (r>0.75, p<0.05), and very high reliability (ICC>0.80) between the measurements. The results show that the smartphone is likely accurate for measuring static balance. This study will look forward to being the only basis for measuring future application development and the ability to balance.

Reliability and Validity Study of Inertial Sensor-Based Application for Static Balance Measurement

“…Second, this study found that it has a higher validity when measuring balance abilities with the gyroscope sensor than with the acceleration sensor. It shows similar results to the studies of De Groote et al [20] and Han Seul-gi et al [29] that there was negligible correlation when performing balance tasks with low difficulty level, and that there was a fair or higher correlation when performing balance tasks with higher difficulty level. O'Sullivan et al [30] reported that acceleration data can be measured in more difficult balance tasks, which supports this study.…”

Validation of Joint Position Sense of Dorsi-Plantar Flexion of Ankle Measurements Using a Smartphone

“…For instance, the measurement of shoulder range of motion using a smartphone was reported by Lim et al [ 19 ], and the measurement of heart rates using a smartphone was investigated by Matsumura and Yamakoshi [ 20 ]. In addition, the measurement of balance using a smartphone was investigated by Han et al [ 21 ]. However, the reliability and validity of smartphones to measure JPS of dorsi-plantar flexion of the ankle have not been studied so far.…”