Cognitively challenging robot-assisted training is the key requirement for successful rehabilitation. Biocooperative feedback loop adapts the difficulty of a training task based on a fusion of task performance, biomechanical measurements (force and movements), and four psychological signals (heart rate, skin conductance, respiration, and peripheral skin temperature). Respiratory rate, its variability, and skin temperature show significant differences between difficulty levels regardless of physical load and can be used to estimate the cognitive workload.
COBISS.SI-ID: 8541012
Multipurpose rehabilitation haptic robot is based on variable structure pantograph mechanism combined with a spring suspension system. It provides training of the shoulder, elbow, and wrist. The mechanism is driven by series elastic actuators. A single device with minimal setup changes can be used for training of most upper-limb activities of daily living in stroke, brain injury, or other direct trauma to the arm. The developed multimodal haptic device significantly reduces the costs of robotic hardware for full-arm rehabilitation.
COBISS.SI-ID: 1081449
Universal methodology to describe the approaching phase of grasping was developed allowing clinical evaluation of movement pathologies. Robot-aided upper extremity training was explored with a special focus on reaching and grasping exercises and the coordination between load force and grasp force. The adaptive control of bimanual robot training system adjusts the contribution of the unaffected arm, thus reducing the load on the paretic arm. A versatile rehabilitation device, providing controlled passive resistance by the use of magnetorheological actuator, enables isometric and isokinetic strength training.
COBISS.SI-ID: 8743252