A rule-based robotic assistance system providing physical relief for nurses during repositioning tasks at the care bed

Abstract

In nursing care, physical overload is an important issue that plays a main role in adding to the number of sick days or even causing staff to withdrawal from the profession. In addition to existing physical aids, robotics in particular has the potential to provide general physical relief during extremely stressful care activities provided at the bedside by performing assistance activities. To shed more light on the relief potential offered, we conducted a study involving 12 caregivers who used a lightweight robot attached to a nursing care bed to assist in the repositioning process. We relied on a robot system architecture that enables rule-based movement adjustments in real time using the Robot Operating System and Unity. The study focused on the repositioning of a patient simulator from the supine to the lateral position. The comparison of the measured ground reaction forces and muscle activity data suggests that robotic assistance during the performance of the activity reduces load peaks and generally leads to more attenuated ground reaction force curves, which results overall in a healthier way of working. With robotic assistance, the average back extensor muscle activations were 25.7% lower compared to conventional repositioning. In addition, the measured maximum occurring muscle activations were reduced by 61.2% when the robotic assistance system was deployed.