Prediction of Motion Intentions as a Novel Method of Upper Limb Rehabilitation Support

This article is devoted to the novel method of upper limb rehabilitation support using a dedicated mechatronic system. The mechatronic rehabilitation system's main advantages are the repeatability of the process and the ability to measure key features and the progress of the therapy. In addition, the assisted therapy standard is the same for each patient. The new method proposed in this article is based on the prediction of the patient's intentions, understood as the intentions to perform a movement that would be not normally possible due to the patient's limited motor functions. Determining those intentions is realized based on a comparative analysis of measured kinematic (range of motion, angular velocities, and accelerations) and dynamic parameter values, as well as external loads resulting from the interaction of patients. Appropriate procedures were implemented in the control system, for which verification was conducted via experiments. The aim of the research in the article was to examine whether it is possible to sense the movement intentions of a patient during exercises, using only measured load parameters and kinematic parameters of the movement. In this study, the construction of a mechatronic system prototype equipped with sensory grip to measure the external loads, control algorithms, and the description of experimental studies were presented. The experimental studies of the mechanism were aimed at the verification of the proper operation of the system and were not a clinical trial.

Automated summary

This article introduces a novel method for upper limb rehabilitation support using a mechatronic system, which offers repeatability and the ability to measure key features and therapy progress. The method is based on predicting patient intentions through comparative analysis of kinematic and dynamic parameters to achieve assisted therapy. The research aims to determine the feasibility of sensing patient movement intentions during exercises solely through measured load and kinematic parameters.