Related Experiment Video
Updated: Jan 12, 2026
Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
Published on: November 7, 2014
The Advantage of Gait Pattern Assessment in Patients With Osteoarthritis Using Pearson Correlation Coefficient and
Wiha Choi1, Jaeho Jang1, Sehoon Oh2
1AI-based Neurodevelopmental Disease Digital Therapeutics Group, Korea Brain Research Institute (KBRI), Daegu, Korea.
Objective:
To assess patient gait ability by capturing both trend and scale aspects, this study proposes a method using the Pearson correlation coefficient and symmetric mean absolute percentage error (SMAPE).
Methods:
Gait patterns from three patients with hip osteoarthritis (OA) were analyzed using kinematic and kinetic data. In each case, using MAPE or Pearson correlation alone failed to provide a reliable assessment, revealing limitations in capturing the full characteristics of gait patterns.
Results:
The combined use of Pearson and SMAPE effectively identified gait abnormalities across all cases. This integrated approach offered a more accurate and comprehensive evaluation than single-metric methods.
Conclusion:
The findings highlight the importance of considering both trend and scale in gait analysis. The proposed dual-metric methodology overcomes the limitations of conventional and single-metric approaches, enabling a clearer understanding of gait characteristics in patients with hip OA.
More Related Videos
06:25Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
Published on: August 12, 2019
13:02Sagittal Plane Kinematic Gait Analysis in C57BL/6 Mice Subjected to MOG35-55 Induced Experimental Autoimmune Encephalomyelitis
Published on: November 4, 2017