Prediction of POMA-G Score from Spatiotemporal Gait Parameters

Authors : Irfan Kösesoy

Pages : 555-561

Doi:10.24012/dumf.1326557

View : 53 | Download : 81

Publication Date : 2023-12-31

Article Type : Research Paper

Abstract :POMA test, is a type of test used to evaluate an individual\'s ability to perform functional movements and activities and is commonly used in the field of rehabilitation and physical therapy to assess an individual\'s mobility and identify areas for improvement. POMA evaluation is typically conducted by experts who are trained in using this tool to assess mobility and balance in individuals. However, it is possible that the POMA score may vary depending on the expert who conducts the evaluation because different experts may have different approaches to evaluation, and an individual expert\'s evaluation may also vary over time. These differences in the evaluation may lead to variations in the POMA score and may impact its reliability. Gait analysis, on the other hand, is objective in nature, providing a more reliable way of assessing the mobility of individuals. This study aimed to predict the measurements obtained in the gait portion of the POMA test (POMA-G) based on objectively obtained spatiotemporal gait parameters. To do this, a dataset consisting of gait parameters from 44 older adults was used. The POMA-G scores were rated by two physiotherapists, one of whom was an expert and the other who was familiar with the test but less experienced. The study also included an analysis of the reliability of physiotherapists’ assessment and the proposed prediction models.
Keywords : Machine Learning, POMA G Prediction, Reliability Analysis