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首页> 外文期刊>Artificial Organs >Cardiorespiratory and Muscle Metabolic Responses During Conventional Versus Motion Sensor-Assisted Strategies for Functional Electrical Stimulation Standing After Spinal Cord Injury
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Cardiorespiratory and Muscle Metabolic Responses During Conventional Versus Motion Sensor-Assisted Strategies for Functional Electrical Stimulation Standing After Spinal Cord Injury

机译：常规对运动传感器辅助策略对脊髓损伤后站立的功能性电刺激的心肺和肌肉代谢反应

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This is a case series study with the objective of comparing two motion sensor automated strategies to avert knee buckle during functional electrical stimulation (FES)standing against a conventional hand-controlled (HC) FES approach. The research was conducted in a clinical exercise laboratory gymnasium at the University of Sydney, Australia. The automated strategies, Aut-A and Aut-B, applied fixed and variable changes of neurostimulation, respectively, in quadriceps amplitude to precisely control knee extension during standing. HC was an on-demand increase of stimulation amplitude to maintain stance. Finally, maximal FES amplitude (MA) was used as a control condition, whereby knee buckle was prevented by maximal isometric muscle recruitment. Four AIS-A paraplegics undertook 4 days of testing each, and each assessment day comprised three FES standing trials using the same strategy. Cardiorespiratory responses were recorded, and quadriceps muscle oxygenation was quantified using near-infrared spectroscopy. For all subjects, the longest standing times were observed during Aut-A, followed by Aut-B, and then HC and MA. The standing times of the automated strategies were superior to HC by 9-64%. Apart from a lower heart rates during standing (P=0.034), the automation of knee extension did not promote different cardiorespiratory responses compared with HC. The standing times during MA were significantly shorter than during the automated or on-demand strategies (by 80-250%). In fact, the higher isometric-evoked quadriceps contraction during MA resulted in a greater oxygen demand (P<0.0001) and wider arteriovenous oxygen extraction (P=0.08) when compared with the other strategies. In conclusion, even though increased standing times were demonstrated using automated control of knee extension, physiological benefits compared with HC were not evident.
机译：这是一个案例系列研究，其目的是比较两种运动传感器自动化策略（与常规手控（HC）FES方法相比），以防止功能性电刺激（FES）期间的膝盖屈曲。该研究是在澳大利亚悉尼大学的临床运动实验室体育馆进行的。自动化策略Aut-A和Aut-B分别以四头肌幅度应用固定和可变的神经刺激变化，以精确控制站立时的膝盖伸展。 HC是刺激幅度的按需增加，以保持姿势。最后，将最大FES振幅（MA）用作对照条件，从而通过最大等距肌肉招募来防止膝屈曲。四个AIS-A截瘫患者分别进行了4天的测试，每个评估日包括使用相同策略的三个FES常规试验。记录心脏呼吸反应，并使用近红外光谱对四头肌肌肉氧合进行定量。对于所有受试者，在Aut-A期间观察到最长的站立时间，其次是Aut-B，然后是HC和MA。自动化策略的站立时间比HC高9-64％。除了站立时较低的心率（P = 0.034），与HC相比，膝关节伸展的自动化并没有促进不同的心肺反应。 MA期间的站立时间明显短于自动化或按需策略期间的站立时间（缩短了80-250％）。实际上，与其他策略相比，MA期间等距诱发的股四头肌较高的收缩导致更大的需氧量（P <0.0001）和更广泛的动静脉氧气提取（P = 0.08）。总之，即使通过自动控制膝盖伸展表现出站立时间增加，与HC相比，其生理益处也不明显。

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