Abdollahi Masoud, Rashedi Ehsan, Kuber Pranav Madhav, Jahangiri Sonia, Kazempour Behnam, Dombovy Mary, Azadeh-Fard Nasibeh
Department of Industrial and Systems Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA.
Department of Rehabilitation and Neurology, Unity Hospital, Rochester, NY 14626, USA.
Bioengineering (Basel). 2024 Apr 2;11(4):349. doi: 10.3390/bioengineering11040349.
Clinical tests like Timed Up and Go (TUG) facilitate the assessment of post-stroke mobility, but they lack detailed measures. In this study, 21 stroke survivors and 20 control participants underwent TUG, sit-to-stand (STS), and the 10 Meter Walk Test (10MWT). Tests incorporated single tasks (STs) and motor-cognitive dual-task (DTs) involving reverse counting from 200 in decrements of 10. Eight wearable motion sensors were placed on feet, shanks, thighs, sacrum, and sternum to record kinematic data. These data were analyzed to investigate the effects of stroke and DT conditions on the extracted features across segmented portions of the tests. The findings showed that stroke survivors (SS) took 23% longer for total TUG ( < 0.001), with 31% longer turn time ( = 0.035). TUG time increased by 20% ( < 0.001) from STs to DTs. In DTs, turning time increased by 31% ( = 0.005). Specifically, SS showed 20% lower trunk angular velocity in sit-to-stand ( = 0.003), 21% longer 10-Meter Walk time ( = 0.010), and 18% slower gait speed ( = 0.012). As expected, turning was especially challenging and worsened with divided attention. The outcomes of our study demonstrate the benefits of instrumented clinical tests and DTs in effectively identifying motor deficits post-stroke across sitting, standing, walking, and turning activities, thereby indicating that quantitative motion analysis can optimize rehabilitation procedures.
像定时起立行走测试（TUG）这样的临床测试有助于评估中风后的活动能力，但它们缺乏详细的测量方法。在本研究中，21名中风幸存者和20名对照参与者进行了TUG测试、坐立测试（STS）和10米步行测试（10MWT）。测试包括单任务（STs）和运动认知双任务（DTs），双任务要求从200开始以每次减10的方式倒数。八个可穿戴运动传感器分别放置在双脚、小腿、大腿、骶骨和胸骨上，以记录运动学数据。对这些数据进行分析，以研究中风和双任务条件对测试各分段部分提取特征的影响。研究结果表明，中风幸存者完成整个TUG测试的时间长23%（<0.001），转身时间长31%（=0.035）。从单任务到双任务，TUG时间增加了20%（<0.001）。在双任务中，转身时间增加了31%（=0.005）。具体而言，中风幸存者在坐立测试中的躯干角速度低20%（=0.003），10米步行时间长21%（=0.010），步速慢18%（=0.012）。正如预期的那样，转身尤其具有挑战性，并且会因注意力分散而恶化。我们的研究结果表明，仪器化临床测试和双任务在有效识别中风后坐、立、行和转身活动中的运动缺陷方面具有优势，从而表明定量运动分析可以优化康复程序。
