Initial Clinical Evaluation of the Modular Prosthetic Limb.

Initial Clinical Evaluation of the Modular Prosthetic Limb.
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DOI:
10.3389/fneur.2018.00153
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发表时间:
2018
影响因子:
3.4
通讯作者:
Tsao JW
Tsao JW
中科院分区:
医学3区
文献类型:
--
作者:
Perry BN;Moran CW;Armiger RS;Pasquina PF;Vandersea JW;Tsao JW

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模块化假肢(MPL)作为一种先进的、灵巧的上肢假体,具有表面肌电图(sEMG)控制,在两例肘部以下截肢患者中进行了可行性和可用性研究。与目前市场上的假肢相比,MPL具有更多的顺序和同步运动度,以及手腕模块化,触觉反馈和单个数字控制。MPL成功地适用于一名33岁的经桡骨截肢(TR01)和一名30岁的腕关节截肢(TR02)。为了保持解剖学上的肢体长度,我们调整了用户之间手腕运动的动力自由度。运动训练开始于在虚拟集成环境(VIE)中练习肌电信号和模式识别控制。假体训练课程然后允许参与者完成各种各样的日常生活活动与MPL。训练和运动控制精度分数量化了他们持续训练和执行独特的肌肉运动收缩模式的能力。每个使用者还完成了一个假肢功能指标- TR01的南安普敦手部评估程序(SHAP)和TR02的捷成-泰勒手部功能测试(JHFT)。TR01集成了触觉反馈功能。TR01在84%的VIE会话中达到了95%的准确率。他在一年的假肢训练课程中表现出了提高的分数,最终实现了17个(76%)尝试动作中的13个的同时控制。随着完成任务数量的增加,他在SHAP上的表现从基线到最终评估都有所改善。TR01还使用振动触觉传感器来成功区分MPL手抓住的硬物体和软物体。TR02在他79%的VIE会话中显示出95%的准确率。经过几个月的假肢训练,他的分数得到了提高,然而,在学习中途暂停测试后,他的分数最初出现了显著下降。他最终实现了同时控制所有13个尝试的动力运动,以及两个尝试的被动运动。他在测试时限内完成了7个JHFT任务中的5个(71%)。这些案例研究证实,使用非侵入性运动控制来提高肘部以下截肢患者的功能预后是可能的,并将有助于指导未来的肌电假肢研究。
The Modular Prosthetic Limb (MPL) was examined for its feasibility and usability as an advanced, dexterous upper extremity prosthesis with surface electromyography (sEMG) control in with two individuals with below-elbow amputations. Compared to currently marketed prostheses, the MPL has a greater number of sequential and simultaneous degrees of motion, as well as wrist modularity, haptic feedback, and individual digit control. The MPL was successfully fit to a 33-year-old with a trans-radial amputation (TR01) and a 30-year-old with a wrist disarticulation amputation (TR02). To preserve anatomical limb length, we adjusted the powered degrees of freedom of wrist motion between users. Motor training began with practicing sEMG and pattern recognition control within the virtual integration environment (VIE). Prosthetic training sessions then allowed participants to complete a variety of activities of daily living with the MPL. Training and Motion Control Accuracy scores quantified their ability to consistently train and execute unique muscle-to-motion contraction patterns. Each user also completed one prosthetic functional metric—the Southampton Hand Assessment Procedure (SHAP) for TR01 and the Jebsen-Taylor Hand Function Test (JHFT) for TR02. Haptic feedback capabilities were integrated for TR01. TR01 achieved 95% accuracy at 84% of his VIE sessions. He demonstrated improved scores over a year of prosthetic training sessions, ultimately achieving simultaneous control of 13 of the 17 (76%) attempted motions. His performance on the SHAP improved from baseline to final assessment with an increase in number of tasks achieved. TR01 also used vibrotactile sensors to successfully discriminate between hard and soft objects being grasped by the MPL hand. TR02 demonstrated 95% accuracy at 79% of his VIE sessions. He demonstrated improved scores over months of prosthetic training sessions, however there was a significant drop in scores initially following a mid-study pause in testing. He ultimately achieved simultaneous control of all 13 attempted powered motions, and both attempted passive motions. He completed 5 of the 7 (71%) JHFT tasks within the testing time limit. These case studies confirm that it is possible to use non-invasive motor control to increase functional outcomes with individuals with below-elbow amputation and will help to guide future myoelectric prosthetic studies.
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