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Mechanomyography-based assessment during repetitive sit-to-stand and stand-to-sit in two incomplete spinal cord-injured individuals.
Biomedical Engineering / Biomedizinische Technik ( IF 1.7 ) Pub Date : 2020-04-28 , DOI: 10.1515/bmt-2018-0200
Musfirah Abd Aziz 1 , Nur Azah Hamzaid 1 , Nazirah Hasnan 2 , Muhammad Afiq Dzulkifli 1
Affiliation  

Standing up and sitting down movements are important prerequisites to achieve functional independence in everyday life of spinal cord injury (SCI) patients. Thus, mechanomyography (MMG) was proposed as a safe monitoring tool to evaluate muscle function performance of these activities. Two incomplete SCI participants performed repetitive sit-to-stand (SitTS) and stand-to-sit (StandTS) until fatigued challenge. Three sets of these activities were completed with MMG sensors attached over the quadriceps muscles of both legs. A 5-min rest was allocated between each set, totalling 399 trials of SitTS and StandTS activities. There was a significant difference between MMG’s mean root mean square maximum (RMSmax) in SitTS and StandTS activities (p = 0.014). The mean values of RMSmax and root mean square average (RMSave) on the right leg were detected to be significantly higher compared to those of the left leg during these activities (p < 0.05). In the frequency domain, MMG’s mean power frequency (MPF) proved to be significantly higher at the beginning compared to the end of the three sets of both activities (p = 0.000). These muscle performances during both activities can be verified based on the analysis of MMG behaviour in time and frequency domains. Furthermore, this study indicated that MMG can be used as a monitoring tool to identify muscle fatigue throughout a prolonged event.

中文翻译:

在两个不完整的脊髓损伤个体中,反复进行坐姿和坐姿时的基于机械X线照相术的评估。

站立和坐下运动是实现脊髓损伤(SCI)患者日常生活中功能独立的重要前提。因此,提出了机械分类法(MMG)作为评估这些活动的肌肉功能表现的安全监视工具。两名不完整的SCI参与者进行了重复的坐姿(SitTS)和坐姿(StandTS),直到疲劳的挑战。通过将MMG传感器安装在双腿的四头肌上,完成了三组这些活动。每组之间有5分钟的休息时间,总共399次SitTS和StandTS活动试验。SitTS和StandTS活动中MMG的均方根最大值(RMS max)之间存在显着差异(p = 0.014)。RMS max的平均值在这些活动中,右腿的均方根平均值(RMS ave)显着高于左腿的均方根(RMS ave)(p <0.05)。在频域中,MMG的平均功率频率(MPF)在开始时显着高于这两种活动的三组结束时(p = 0.000)。可以基于在时域和频域中对MMG行为的分析来验证这两种活动期间的这些肌肉表现。此外,这项研究表明,MMG可以用作监测工具,以在整个长时间事件中识别肌肉疲劳。
更新日期:2020-04-28
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