Validation of computerized square-drawing based evaluation of motor function in patients with stroke.

Journal: Medical engineering & physics
Published Date:

Abstract

Human-administered clinical scales are commonly used for quantifying motor performance and determining the course of therapy in post-stroke individuals. Computerized methods aim to improve consistency, resolution and duration of patients' evaluation. The objective of this study was to test the validity of computerized square-drawing test (DT) for assessment of shoulder and elbow function by using novel set of DT-based kinematic measures and explore their relation with Wolf Motor Function Test (WMFT) scoring. Forty-seven stroke survivors were tested before and after the rehabilitation program. DT involved drawing a square in horizontal plane using a mechanical manipulandum and a digitizing board. Depending on the initial classification of patients into low or high performance groups, the two different outcome metrics were derived from DT kinematic data for evaluation of each group. Linear regression models applied to map DT outcome values to WMFT scores for both groups resulted with high correlation coefficients and low mean absolute prediction error. In conclusion, we have identified a set of kinematic measures suitable for fast and objective motor function evaluation and functional classification, strongly correlating with WMFT score in post-stroke individuals. The results support validation of square-drawing motor function assessment, encouraging its use in clinical settings.

Authors

  • Milica S Isaković
    Tecnalia Serbia Ltd., Vladetina 13 and Signals and Systems Department, School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11200 Belgrade, Serbia.
  • Andrej M Savić
    Tecnalia Serbia Ltd., Vladetina 13 and Signals and Systems Department, School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11200 Belgrade, Serbia.
  • Ljubica M Konstantinović
    Clinic for Rehabilitation "Dr. Miroslav Zotović", Faculty of Medicine, University Belgrade, Sokobanjska 13, 11000 Belgrade, Serbia.
  • Mirjana B Popović
    School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11000 Belgrade, Serbia; Institute for Medical Research, University of Belgrade, Dr Subotića 4, 11000 Belgrade, Serbia.