Robot-assisted weight-bearing exercise for stroke patients with limited mobility

Abstract

Weight-bearing exercise is a well-accepted physiotherapy to prevent osteoporosis for stroke patients. But the immobility of stroke patients limits the types and intensity of conventional interventions. Recent advances in robot-assisted therapeutic device provide an innovative way which could potentially overcome the above-mentioned limitations. However, the effects of robot-assisted physiotherapy on osteoporosis prevention have not been fully understood. The purpose of the present study is to develop an innovative theoretical framework to investigate the effects of static robot-assisted walking exercise on bone health. Through conducting a series of studies using a robot, force insoles and CT-image-based computational modeling, our results show that robot-assisted walking can significantly reduce the osteoporosis risk for stroke patients. However, the vertical peak ground reaction forces generated from static robot walking is generally lower than that from treadmill walking due to the fact that there are no heel strike and push-off effects in static robotic walking.