... and fatigue estimation A workflow shows rehabilitation robot control using E M G signals, fatigue estimation, torque calculation, and therapist-guided control system for elbow movement. The process begins with a Myoware sensor acquiring E M G signals from a person using a rehabilitation robot...

...Rohollah Hasanzadeh Fereydooni; Hassan Siahkali; Heidar Ali Shayanfar; Amir Houshang Mazinan Purpose This paper aims to propose an innovative adaptive control method for lower-limb rehabilitation robots. Design/methodology/approach Despite carrying out various studies on the subject...

...Jian Li; Diansheng Chen; Chunjing Tao; Hui Li Purpose Many studies have shown that rehabilitation robots are crucial for lower limb dysfunction, but application of many robotics have yet to be seen to actual use in China. This study aimed to improve a lower limb rehabilitation robot by details...

... – The experimental results showed that the FNN controller had excellent performances in position control of the rehabilitation robotic arm such as fast response, small overshoot and small vibration. Research limitations/implications – This work is focused on the static FNN algorithm by updating the second...

... recovery process can be controlled according to the patient’s intention by the sEMG classification, movement identification and the corresponding hand rehabilitator training program. The whole process is shown in Figure 7 . © Emerald Group Publishing Limited 2015 Rehabilitation robot...

... of involved muscles. © Emerald Group Publishing Limited 2014 Adaptive impedance control EMG signals Motion recognition Muscle activity level Rehabilitation robot To evaluate the ability of the integrated parallel rehabilitation robot to provide interactive rehabilitation for lower...