ABSTRACT

In the former chapters, studies on biomechanical model of skeletal muscle, as well as surface electromyography (sEMG)-based feature extraction methods for contraction prediction, have been systematically discussed. Both these topics are closely related to rehabilitation exoskeleton robot techniques. Statistical report indicates that stroke incidence in China ranks first all over the world with a total number of 6 million, and it increases by 2 million every year. The nerve injuries caused by stroke or other diseases will result in hemiplegia and even paralysis if not treated in time or treated inappropriately. Slight delay in the treatment will severely affect the reconstruction of human motor function and significantly increase the length of rehabilitation period. For patients with motor function injury such as stroke, early physiotherapy can improve the functional recovery of motion. However, most of the traditional physiotherapies are conducted by physical therapists or medical staffs, and this kind of therapy consumes very much manpower and material resource with very limited effectiveness. Patients often end up with sequelae such as hemiplegia when they are not able to receive effective treatment in time. At present, medication is usually adopted in the early treatment for patients with stroke or spinal injuries. Meanwhile, insufficient attention has been paid to the functional exercise during post treatment. All these contribute to the delay of the best treatment time and the loss of work ability and viability for part of the patients.