Objective motor assessment for personalized rehabilitation of upper extremity in brain injury patients.

Abstract

The increasing number of patients with acquired brain injury and the current subjectivity of the conventional upper extremity (UE) assessment tests require new objective assessment techniques. This research proposes a novel objective motor assessment (OMA) methodology based on the Fugl-Meyer assessment (FMA). The goals are to automatically calculate the objective scores (OSs) of FMA-UE movements (as well as a global OS) and to interpret the estimated OSs. Fifteen patients participated in the study. The OMA algorithm was designed to detect small-scale variations in UE movements. The OSs for 14 FMA-UE movements and the global OSs were automatically calculated using the algorithm and evaluated by 2 therapists. The interpretation of the global OSs was performed at 3 levels: by item, movement and globally. The global OSs calculated by our algorithm had a significant correlation with the therapists' scores (0.783 and 0.938, p < 0.01). All OSs for each movement were correlated with the scores given by the therapists. The correlation coefficient can reach values as high as 0.981 (p < 0.01). We provide a new objective assessment tool for therapists to help them improve the diagnostic accuracy and to achieve a more personalized and potentially effective physical rehabilitation of brain injury patients.