Algorithm for selecting clinical instruments for the assessment of walking function in post-stroke patients

Abstract

Aim: The study aims at improving the method of physical rehabilitation by developing an algorithm for selecting clinical tools for walking function assessment in post-stroke patients. Based on the analysis and generalization of the conventional rehabilitation techniques used for correcting the clinical tools of walking function diagnostics, the aim is to determine the model of the correct walking stereotype and walking function status. Materials and methods: Domestic and foreign specialized publications as well as methodological and educational literature on causes of ischemic stroke, classification of the disease courses, functional disorders, walking disorders and methods of physical rehabilitation for restoration of walking function were analysed. Results: An algorithm for selecting clinical tools for assessing walking function was created, including a step-by-step survey of this function. Conclusions: The developed algorithm for selecting clinical tools for assessing walking function makes it possible to determine major motor dysfunctions that affect the correct walking patterns and to select a group of tests effectively diagnosing walking disturbances.