In this paper, we present a comprehensive review of hand exoskeleton technologies for
rehabilitation and assistive engineering, from basic hand biomechanics to actuator …

The recovery of hand function is one of the most challenging topics in stroke rehabilitation.
Although the robot‐assisted therapy has got some good results in the latest decades, the …

Robot-assisted rehabilitation and therapy has become more and more frequently used to
help the elderly, disabled patients or movement disorders to perform exercise and training …

Although a lower extremity exoskeleton shows great prospect in the rehabilitation of the
lower limb, it has not yet been widely applied to the clinical rehabilitation of the paralyzed …

To find out the feasibility of different neural networks in sEMG-based force estimation, in this
paper, three types of networks, namely convolutional neural network (CNN), long short-term …

Based on HSV gamut space, a visualization system of muscle activity is proposed to study
the mapping relationship between hand motion and active areas of upper arm muscle …

The movement of intelligent EMG-driven prosthesis mainly relies on the synergy of different
fingers to achieve function of grasping objects. The paper proposes a novel scheme for force …

Skeletal muscle forces may be estimated using rigid musculoskeletal models and neural
networks. Neural network (NN) approach has the advantages of real-time estimation ability …

为了提高肌肉的疲劳检测效果, 提出了一种双传感融合的方式来弥补单传感模式下信息容易丢失
的不足. 该方式将表面肌电信号的时频域特征与A 型超声信号的肌肉厚度特征多维度融合 …

Decoding movement intentions from motor unit (MU) activities to represent neural drive
information plays a central role in establishing neural interfaces, but there remains a great …