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http://dx.doi.org/10.14474/ptrs.2022.11.3.311

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

Park, Young Jae (Division of Rehabilitation unit, Department of Rehabilitation Medicine, Kangbuk Samsung Hospital)
Jang, Ho Young (Department of Physical Therapy, Catholic University Eunpyeong St. Mary's Hospital)
Kim, Kwon Hoi (Department of Physical Therapy, Catholic University Uijeongbu St. Mary's Hosipital)
Hwang, Dong Ki (Department of Physical Therapy, Graduate School of Sahmyook University)
Lee, Suk Min (Department of Physical Therapy, Graduate School of Sahmyook University)
Publication Information
Physical Therapy Rehabilitation Science / v.11, no.3, 2022 , pp. 311-320 More about this Journal
Abstract
Objective: To investigate the reliability and validity of static balance measurements using an acceleration sensor and a gyroscope sensor in smart phone inertial sensors. Design: Equivalent control group pretest-posttest. Methods: Subjects were forty five healthy adults aged twenty to fifty-years-old who had no disease that could affect the experiment. After pre-test, all participants wore a waist band with smart phone, and conducted six static balance measurements on the force plate twice for 35 seconds each. To investigate the test-retest reliability of both smart phone inertial sensors, we compared the intra-correlation coefficient (ICC 3, 1) between primary and secondary measurements with the calculated root mean scale-total data. To determine the validity of the two sensors, it was measured simultaneously with force plate, and the comparision was done by Pearson's correlation. Results: The test-retest reliability showed excellent correlation for acceleration sensor, and it also showed excellent to good correlation for gyroscope sensor(p<0.05). The concurrent validity of smartphone inertial sensors showed a mostly poor to fair correlation for tandem-stance and one-leg-stance (p<0.05) and unacceptable correlation for the other postures (p>0.05). The gyroscope sensor showed a fair correlation for most of the RMS-Total data, and the other data also showed poor to fair correlation (p<0.05). Conclusions: The result indicates that both acceleration sensor and gyroscope sensor has good reliability, and that compared to force plate, acceleration sensor has unacceptable or poor correlation, and gyroscope sensor has mostly fair correlation.
Keywords
Telemedicine; Wearable Technology; Postural Balance; Smartphones;
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