Liang H.-W.Chi S.-Y.Chen B.-Y.YAW-HUEI HWANG2022-03-312022-03-3120211534-4320https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097926158&doi=10.1109%2fTNSRE.2020.3034876&partnerID=40&md5=6caae3e7a054a1889502050604cafe14https://scholars.lib.ntu.edu.tw/handle/123456789/603346Postural stability is an important indicator of balance and is commonly evaluated in neurorehabilitation. We proposed a system based on a virtual reality (HTC Vive) system with a tracker at the lumbar area. The position data of the tracker were obtained through detection of the sensors on the tracker by the VR system. The reliability and validity of these sway parameters to measure postural stability were evaluated. Twenty healthy adults had their postural sway measured with this system and a force platform system under four stance conditions, with wide-or narrow-stance and eyes open or closed. The path data from both systems were computed to obtain the following parameters: The mean distance and the mean velocity in the medial-lateral and anterior-posterior directions and the 95% confidence ellipse area. The reliability of the Vive-based sway measures was tested with intraclass correlation coefficients (ICCs). The convergent validity was tested against the center of pressure (COP) parameters from the force platform system. Finally, the discriminative validity was tested for the above four conditions. The results indicated that the Vive-based sway parameters had moderate to high reliability (ICCs: 0.56 0.90) across four conditions and correlated moderately to very highly with the COP parameters ( {r} = 0.420\sim 0.959 ). Bland-Altman plotting showed generally good agreement, with negative offset for the Vive-based sway parameters. The sway parameters obtained by the Vive-based system also discriminated well among the tasks. In conclusion, the results support this system as a simple and easy-To-use tool to evaluate postural stability with acceptable reliability and validity.[SDGs]SDG3[SDGs]SDG10journal article10.1109/TNSRE.2020.3034876331253322-s2.0-85097926158