Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms.
Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms.
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DOI：
10.1001/jama.2009.116
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发表时间：
2009-02-11
影响因子：
120.7
通讯作者：
Englehart, Kevin B.
中科院分区：
文献类型：
--
作者：
Kuiken, Todd A.;Li, Guanglin;Lock, Blair A.;Lipschutz, Robert D.;Miller, Laura A.;Stubblefield, Kathy A.;Englehart, Kevin B.
改善假肢的功能仍然是一个挑战，因为在截肢期间失去了对手臂的神经控制信息的访问。我们已经开发了一种手术技术，称为靶向肌肉神经再生（TMR），将残余的手臂神经转移到其他肌肉部位。神经移植后，这些目标肌肉在皮肤表面产生肌电图（EMG），可以测量并用于控制假肢手臂。使用模式识别算法来解码肌电信号和控制假肢臂运动，评估TMR上肢截肢患者的表现。记录参与者的表面肌电信号，并使用模式识别算法解码。解码程序控制虚拟义肢的运动。参与者被指示进行各种手臂运动，并测量他们控制虚拟假肢的能力。此外，TMR患者使用相同的控制系统操作先进的手臂假体原型。这项研究于2007年1月至2008年1月在芝加哥康复研究所进行。本研究包括5例在2002年2月至2006年10月间接受TMR手术的肩关节脱臼或肱骨截断患者。它还包括五名非截肢者（对照组）参与者。在虚拟手臂运动中测量的性能指标包括动作选择时间、动作完成时间和动作完成（或“成功”）率。其中三名TMR患者还能够测试先进的手臂假体。TMR患者能够用虚拟假肢重复进行10种不同的肘部、手腕和手部运动。TMR患者肘部和腕部运动的平均（标准差（SD））运动选择和运动完成时间分别为0.22 s（0.06）和1.29 s（0.15）。这些时间分别比对照组的平均时间长0.06秒和0.21秒。对于TMR患者，手部抓握模式的平均动作选择和动作完成时间（SD）分别为0.38 s（0.12）和1.54 s（0.27）。TMR患者在5秒内平均（SD）成功完成96.3%（3.8）的肘关节运动和86.9%（13.9）的手部运动，而对照组的成功率分别为100%(0)和96.7%（4.7）。其中三名患者能够演示该控制系统在高级假体中的使用，包括电动肩膀、肘部、手腕和手。这些结果表明，再生神经肌肉可以产生足够的肌电图信息来控制先进的人工手臂。
Improving the function of prosthetic arms remains a challenge, as access to the neural control information for the arm is lost during amputation. We have developed a surgical technique called targeted muscle reinnervation (TMR) which transfers residual arm nerves to alternative muscle sites. After reinnervation, these target muscles produce an electromyogram (EMG) on the surface of the skin that can be measured and used to control prosthetic arms. Assess the performance of TMR upper-limb amputee patients using a pattern-recognition algorithm to decode EMG signals and control prosthetic arm motions. Surface EMG signals were recorded on participants and decoded using a pattern-recognition algorithm. The decoding program controlled the movement of a virtual prosthetic arm. Participants were instructed to perform various arm movements, and their abilities to control the virtual prosthetic arm were measured. In addition, TMR patients used the same control system to operate advanced arm prosthesis prototypes. This study was conducted between January 2007 and January 2008 at the Rehabilitation Institute of Chicago. This study included five patients with shoulder disarticulation or transhumeral amputations who received TMR surgery between February 2002 and October 2006. It also included five non-amputee (control) participants. Performance metrics measured during virtual arm movements included motion-selection time, motion-completion time, and motion-completion (or `success') rate. Three of the TMR patients were also able to test advanced arm prostheses. TMR patients were able to repeatedly perform 10 different elbow, wrist and hand motions with the virtual prosthetic arm. For TMR patients, the average (standard deviation (SD)) motion-selection and motion-completion times for elbow and wrist movements were 0.22 s (0.06) and 1.29 s (0.15), respectively. These times were 0.06 s and 0.21 s longer than the average times of control participants. For TMR patients, the average (SD) motion-selection and motion-completion times for hand-grasp patterns were 0.38 s (0.12) and 1.54 s (0.27), respectively. TMR patients successfully completed an average (SD) of 96.3% (3.8) of elbow and wrist movements and 86.9% (13.9) of hand movements within 5 s, compared to 100% (0) and 96.7% (4.7) completed by controls. Three of the patients were able to demonstrate the use of this control system in advanced prostheses including motorized shoulders, elbows, wrists and hands. These results suggest that reinnervated muscles can produce sufficient EMG information to control advanced artificial arms.
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影响因子：
2.5
作者：
Zhou, Ping;Lowery, Madeleine M.;Kuiken, Todd A.
通讯作者：
Kuiken, Todd A.
影响因子：
168.9
作者：
Kuiken, Todd A.;Miller, Laura A.;Dumanian, Gregory A.
通讯作者：
Dumanian, Gregory A.
影响因子：
5.3
作者：
O'Shaughnessy, Kristina D.;Dumanian, Gregory A.;Kuiken, Todd A.
通讯作者：
Kuiken, Todd A.
DOI：
10.1016/j.pmr.2005.10.001
发表时间：
2006-02-01
影响因子：
1.7
作者：
Kuiken, Todd
通讯作者：
Kuiken, Todd
DOI：
10.1109/tnsre.2007.910282
发表时间：
2008-02-01
影响因子：
4.9
作者：
Huang, He;Zhou, Ping;Kuiken, Todd A.
通讯作者：
Kuiken, Todd A.