(1) In this study, we developed an inertial sensor-based motion tracking system, a tool for evaluation of the functional rehabilitation of upper limbs after central nervous system injury. The motion ing system enabled us to analyze the complex upper limb and head movements in three dimensions according to nine degrees of freedom data from the kinematic models.Research Highlights
(2) The inertial sensor-based motion tracking system can be used to evaluate the functional recovery of the upper limbs after central nervous system injury accurately and stably.
Upper limb function impairment is one of the most common sequelae of central nervous system injury, especially in stroke patients and when spinal cord injury produces tetraplegia. Conventional assessment methods cannot provide objective evaluation of patient performance and the tiveness of therapies. The most common assessment tools are based on rating scales, which are inefficient when measuring small changes and can yield subjective bias. In this study, we designed an inertial sensor-based monitoring system composed of five sensors to measure and analyze the complex movements of the upper limbs, which are common in activities of daily living. We developed a kinematic model with nine degrees of freedom to analyze upper limb and head movements in three dimensions. This system was then validated using a commercial optoelectronic system. These findings suggest that an inertial sensor-based motion tracking system can be used in patients who have upper limb impairment through data integration with a virtual reality-based neuroretation system.