2021
DOI: 10.1088/1742-6596/1885/5/052039
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A novel End-effector Finger Rehabilitation Robot (EFRR) for stroke patients

Abstract: This paper proposes a prototype of a novel end-traction finger rehabilitation robot with flexion/extension and adduction/abduction functions. The degree of freedom (DoF) and finger joint torque of a single-finger module has been analysed, and the calculation and selection of the motor driving force are completed. Finally, the design details of the mechanism and the hardware system of the robot are illustrated. This device minimized the mechanical size to some extent by using only one motor for a single finger,… Show more

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“…With the continuous stimulation of pulse signals, the muscle fibers release calcium ions, and the increase in calcium ion concentration further increases the energy of the pulse signal, resulting in more intense muscle fiber activity. The collective activity of a large number of muscle fibers manifests as an increase in muscle contraction or stretching force, thereby making the EMG signal more prominent [8] . Published by Francis Academic Press, UK -52-Figure 4 shows the rehabilitation robot hand system, which consists of three main components: a flexible wearable rehabilitation robot arm structure, physiological signal acquisition and processing, and corresponding hardware control circuits.…”
Section: Principles Of Electromyography (Emg) Signalsmentioning
confidence: 99%
“…With the continuous stimulation of pulse signals, the muscle fibers release calcium ions, and the increase in calcium ion concentration further increases the energy of the pulse signal, resulting in more intense muscle fiber activity. The collective activity of a large number of muscle fibers manifests as an increase in muscle contraction or stretching force, thereby making the EMG signal more prominent [8] . Published by Francis Academic Press, UK -52-Figure 4 shows the rehabilitation robot hand system, which consists of three main components: a flexible wearable rehabilitation robot arm structure, physiological signal acquisition and processing, and corresponding hardware control circuits.…”
Section: Principles Of Electromyography (Emg) Signalsmentioning
confidence: 99%