Research Article

New Method for Gait Pattern Assessment in Patients with Osteoarthritis by Use of Pearson Correlation Coefficient and Symmetric Mean Absolute Percentage Error (SMAPE): Preliminary Study

by Wiha Choi1, Jaeho Jang1, Sehoon Oh1, Tae-Du Jung2*

1Department of Robotics and Mechatronics Engineering, DGIST, 333, Techno Jungangdaero, Daegu, 42988, Dalseong-gun, Republic of Korea.

2Department of Rehabilitation Medicine, School of Medicine, Kyungpook National University, 807, Hoguk-ro, Daegu, 41404, Buk-gu, Republic of Korea.

*Corresponding author: Tae-Du Jung, Department of Rehabilitation Medicine, School of Medicine, Kyungpook National University, 807, Hoguk-ro, Daegu, 41404, Buk-gu, Republic of Korea.

Received Date: 13 February 2024

Accepted Date: 17 February 2024

Published Date: 19 February 2024

Citation: Choi W, Jang J, Oh S, Tae-Du J (2024) New Method for Gait Pattern Assessment in Patient with Osteoarthritis by Use of Pearson Correlation Coefficient and Symmetric Mean Absolute Percentage Error (SMAPE): Preliminary Study. Ann Case Report 9: 1659. https://doi.org/10.29011/2574-7754.101659

Abstract

Through the quantification of gait ability, it becomes possible to assess the present level of gait proficiency and design a personalized rehabilitation program. In order to assess a patient’s gait, both the trend and scale aspects of gait time-series data must be considered. This study introduces a methodology for evaluating gait in 3 patients with hip osteoarthritis (OA) by employing the Pearson correlation coefficient for trend similarity and symmetric mean absolute percentage error (SMAPE) for scale similarity in view of kinematics and kinetics as a preliminary study.

Keywords: Hip Osteoarthritis; Pearson Coefficient; Symmetric Mean Absolute Percentage Error; Gait Assessment

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