A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG.

A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG.
复制标题

通过表面肌电图进行手部双边训练的软外骨骼手套

DOI:
10.3390/s21020578
复制
发表时间:
2021-01-15
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Wen Y
Wen Y
中科院分区:
其他
文献类型:
--
作者:
Chen Y;Yang Z;Wen Y

文献摘要

参考文献

被引文献

相似文献

传统的硬质外骨骼可能会对佩戴者的舒适性构成挑战,可能会产生很大的压力,甚至会改变手的自然运动模式。本文提出了一种低成本的外骨骼软手套(SExoG)系统,该系统由非瘫痪手的表面肌电信号驱动,用于双侧训练。提出了一种软驱动器几何参数的定制方法,并对其结构进行了重新设计。然后,确定了气泵产生不同角度执行器所对应的压力值,以支持四种手部动作(伸展、静止、球握和拳头)。提出了一种神经网络和状态排除算法相结合的两步混合模型,用于从健康肢体的表面肌电信号中识别四种手部运动。四名受试者被招募参加实验。实验结果表明,4种手部运动的压力值分别为−2、0、40和70kPa.混合模型对4种手部运动的平均准确率为98.7%.结果表明,该SExoG系统能够较好地反映非偏瘫手部的手部运动。
Traditional rigid exoskeletons can be challenging to the comfort of wearers and can have large pressure, which can even alter natural hand motion patterns. In this paper, we propose a low-cost soft exoskeleton glove (SExoG) system driven by surface electromyography (sEMG) signals from non-paretic hand for bilateral training. A customization method of geometrical parameters of soft actuators was presented, and their structure was redesigned. Then, the corresponding pressure values of air-pump to generate different angles of actuators were determined to support four hand motions (extension, rest, spherical grip, and fist). A two-step hybrid model combining the neural network and the state exclusion algorithm was proposed to recognize four hand motions via sEMG signals from the healthy limb. Four subjects were recruited to participate in the experiments. The experimental results show that the pressure values for the four hand motions were about −2, 0, 40, and 70 KPa, and the hybrid model can yield a mean accuracy of 98.7% across four hand motions. It can be concluded that the novel SExoG system can mirror the hand motions of non-paretic hand with good performance.
DOI: 10.1177/1545968309338190
发表时间: 2009-11-01
影响因子: 4.2
作者:
Stoykov, Mary Ellen;Lewis, Gwyn N.;Corcos, Daniel M.
通讯作者: Corcos, Daniel M.
DOI: 10.1109/tnsre.2005.848352
发表时间: 2005-09-01
影响因子: 4.9
作者:
Colombo, R;Pisano, F;Minuco, G
通讯作者: Minuco, G
DOI: 10.3389/fnins.2017.00061
发表时间: 2017
影响因子: 4.3
作者:
Chen Y;Yang Z
通讯作者: Yang Z
DOI: 10.3390/app10207364
发表时间: 2020-10-01
影响因子: 2.7
作者:
Choi, Bong-Jun;Kim, Ju-Hwan;Park, Dong-Wook
通讯作者: Park, Dong-Wook
DOI: 10.1002/anie.201006464
发表时间: 2011-01-01
影响因子: 16.6
作者:
Ilievski, Filip;Mazzeo, Aaron D.;Whitesides, George M.
通讯作者: Whitesides, George M.