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The main focus of our research is to control the load of selected muscles by using a power-assisting device, thus enabling pinpointed motion support, rehabilitation and training by explicitly specifying the target muscles. In our past research, a control method was proposed for static human motion. And the result of simulation and experiments showed that it is possible to control the force of selected...
Comparing with hip and knee, the design of exoskeleton ankle is much more difficult due to the strict requirements of smaller space, better rigidity and heavier load. A novel ankle exoskeleton with 3-RPS (Revolute- Prismatic-Spherical) parallel mechanism, which can fully sustain the heavy load of human body with good dynamic and kinematic performances, has been conducted to assist rehabilitation of...
Human robot interaction is a new and rapidly growing field and its application in the realm of rehabilitation and physical care is a major focus area of research worldwide. This paper discusses the development and implementation of a wireless motion capture system for the human arm which can be used for physical therapy or real-time control of a robotic arm, among many other potential applications...
Presented in this work is a possible myoelectric control scheme for a rehabilitation robotic application. The control input is from a time delayed neural network (TDNN). The input to the TDNN is four electromyographic (EMG) signals associated with the movement of the elbow and shoulder joints. The output of the TDNN is the joint position of the elbow and the joint position of the shoulder in the sagittal...
The objective of this work is to study the EMG signals based on hand motions for specified tasks, and different gripping conditions so as to identify patterns of EMG signals. This will allow therapists to identify weak muscles of patients with motor weakness, such as spinal cord injury (SCI) and post-stroke and concentrate on rehabilitation activities which can strengthen these specific muscles. At...
For central nervous system (CNS) impaired patients, e.g. after stroke, the achievement of an independent, stable gait function and endurance in walking is essential for independent mobility in daily life. Modern concepts of rehabilitation favor a task specific repetitive training, that facilitates natural motion and muscle activation patterns, i.e. in addition to commonly practiced floor walking other...
Electromyogram (EMG) signal is an electrical manifestation of muscle contractions. EMG signal collected from surface of the skin, a non-invasive bioelectric signal, can be used in different rehabilitation applications and artificial extremities control. This study has proposed to utilize the surface EMG (SEMG) signal to recognize patterns of hand prosthesis movements. It suggests using an adaptive...
The objective of the present study is to determine if surface electromyography (EMG) signals can be used for controlling the motion of the meal assistance robot. The power of four EMG channels were calculated and encoded into five commands to track the motion of meal assistance robot. The results indicated that by using EMG signals, the meal assistance robot was able to follow the movement desire...
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