Comparison of Human Interpretation and a Rule-Based Algorithm for Instrumented Sit-to-Stand Test

摘要

Background The five times sit-to-stand test (5STS) is one of the most commonly used tests to assess the physical performance of lower extremities. This study assessed the correlation between human interpretation (5STS human ) and a rule-based algorithm (5STS rule ) using instrumented 5STS with two sensors. Methods We analyzed clinical records of 148 patients who visited the geriatric outpatient clinic of Asan Medical Center between December 2020 and March 2021 and underwent physical performance assessment using the electronic Short Physical Performance Battery (eSPPB) protocol. For STS, time-weight and time-distance curves were constructed using a loadcell and light detection and ranging (LiDAR). We manually assessed the grids of these curves to calculate 5STS human , while 5STS rule used an empirical rule-based algorithm. Results In the study population, the mean 5STS human and 5STS rule times, i.e., 12.2±0.4 and 11.4±0.4 seconds, respectively, did not differ significantly (p=0.232). Linear regression analysis showed that 5STS human and 5STS rule were positively correlated (β=0.99, R 2 =0.99). The measures also did not differ (p=0.381) in classifying sarcopenia according to the Asian Working Group Society criteria, with C-indices of 0.826 for 5STS human and 0.820 for 5STS rule . Conclusion An empirical rule-based algorithm correlated with human-interpreted 5STS and had comparable classification ability for sarcopenia.