Objective: To investigate the effect of computer navigation gap balance technology on the recovery of lower limb function after total knee arthroplasty.
Methods: The clinical data of 106 patients with knee osteoarthritis (OA) who underwent total knee arthroplasty from July 2018 to June 2019 were analyzed retrospectively. They were divided into measurement osteotomy group and space balance group according to different osteotomy techniques during total knee arthroplasty.
In this article, we present a comprehensive scheme for the quality assessment of compressed vibrotactile signals with human assessors. Inspired by the multiple stimulus test with hidden reference and anchors (MUSHRA) from the audio domain, we designed a method in which each compressed signal is compared to its original signal and rated on a numerical scale. For each signal tested, the hidden reference and two anchor signals are used to validate the results and provide assessor screening criteria.
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