Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Reciprocal Activation, Coactivation, and Implications for Direct Neural Control of Powered Lower Limb Prostheses
Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Reciprocal Activation, Coactivation, and Implications for Direct Neural Control of Powered Lower Limb Prostheses
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胫骨截肢者残余拮抗肌的自主控制：相互激活、共激活以及对动力下肢假肢直接神经控制的影响
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发表时间：
2019
影响因子：
4.9
通讯作者：
H. Huang
中科院分区：
文献类型：
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作者：
Stephanie Huang;H. Huang
残余踝部肌肉（即，先前拮抗踝肌）是使用比例肌电控制的动力踝假体的连续前馈控制的潜在来源。经胫骨截肢者使用其残余踝部肌肉用于两个控制输入自由度（即，两个独立的肌电控制输入源）用于直接神经控制取决于截肢者使用其残余脚踝肌肉产生不同程度的相互激活和共激活的能力，但这一点尚不清楚。本文旨在填补这一知识空白。我们要求12名经胫骨截肢者通过其残余跖屈肌和残余背屈肌使用连续比例肌电控制来控制计算机光标的2-D运动，以定义其可达的2-D控制输入空间。计算机光标的x-y位置与来自残余外侧腓肠肌（x轴）和残余胫骨前肌（y轴）的独立连续肌电控制信号成正比，其中每个轴的极限是相应残余肌肉的0%-100%最大自主激活。我们的研究结果表明，可达的控制输入空间在截肢受试者之间变化很大，范围从38%到81%的最大可能的控制输入空间。截肢受试者饱和其可达的控制输入空间的累计时间范围为1.95至6.85分钟。截肢受试者使用不同的剩余肌肉激活模式和协调策略，以扩大其可达的控制输入空间，这取决于他们的能力，以执行coactivation和相互激活使用他们的剩余跖屈肌和背屈肌肌肉。未来的动力下肢假肢的发展使用直接连续比例肌电控制通过残余肌肉（例如，对于假肢关节阻抗的直接自主控制）应该考虑截肢者用户的立即可达的残余肌肉激活模式和可达的2-D控制输入空间如何影响他们的学习和表现。
Residual ankle muscles (i.e., previously antagonistic ankle muscles) of transtibial amputees are a potential source for continuous feedforward control of powered ankle prostheses using proportional myoelectric control. The ability for transtibial amputees to use their residual ankle muscles for two control input degrees of freedom (i.e., two independent myoelectric control input sources) for direct neural control depends on the ability for amputees to generate varying magnitudes of reciprocal activation and coactivation using their residual ankle muscles, which is not well understood. In this paper, we aimed to fill this knowledge gap. We asked 12 transtibial amputees to control the 2-D movement of a computer cursor using continuous proportional myoelectric control via their residual plantar flexor and residual dorsiflexor muscles to define their reachable 2-D control input space. The x–y position of the computer cursor was directly proportional to the independent continuous myoelectric control signals from the residual lateral gastrocnemius (x-axis) and the residual tibialis anterior (y-axis) where the limits of each axis were 0%–100% maximum voluntary activation of the corresponding residual muscle. Our results show that the reachable control input space varied widely across amputee subjects ranging from 38% to 81% of the maximum possible control input space. The cumulative time for the amputee subjects to saturate their reachable control input space ranged from 1.95 to 6.85 min. The amputee subjects used different residual muscle activation patterns and coordination strategies to expand their reachable control input space depending on their ability to perform coactivation and reciprocal activation using their residual plantar flexor and dorsiflexor muscles. The future development of powered lower limb prostheses using direct continuous proportional myoelectric control via residual muscles (e.g., for direct voluntary control of prosthesis joint impedance) should consider how an amputee user’s immediately accessible residual muscle activation patterns and reachable 2-D control input space may affect their learning and performance.