Walking Analysis Systems Used in the Diagnosis and Follow-up of Diseases

Abstract

Gait pattern can be characterized by many measurable parameters like heel strike timing, toe off timing, stride length, stride velocity, motion displacement, pressure distribution under the foot, orientation of the feet with respect to each other. By means of gait analysis, data related to these parameters are collected and utilized in order to diagnose skeletal system and neurologic disorders as well as for the evaluation of the improvement, if exits, before and after orthopedic operations, physical rehabilitations and treatment of the disease. As a result of neurologic diseases such as Cerebral Palsy and Parkinson and orthopedic diseases, gait pattern of a patient differs from that of a healthy person with change in one or more gait parameters. The purpose of a gait analysis is therefore to determine the gait parameters that can be used to differentiate between healthy and unhealthy states and focus on those parameters. Gait analysis is performed in clinics by the experienced clinicians with naked eye; in laboratories by means of video systems, electromyography (EMG) and force platforms and other systems, all of which are limited by time and location. In fact, data related to gait parameters should be collected in the patients’ daily life environment. The aim of this study is to summarize the current literature regarding the gait analysis systems, evaluate the reasons of being not popular in practice so far and provide the discussion of the features that a gait analysis system should have to become more popular in daily life use.

Authors and Affiliations

Sibel BAKBAK, Ramazan KAYACAN

Keywords

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  • EP ID EP470050
  • DOI -
  • Views 109
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How To Cite

Sibel BAKBAK, Ramazan KAYACAN (2014). Walking Analysis Systems Used in the Diagnosis and Follow-up of Diseases. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 2(4), 323-332. https://europub.co.uk/articles/-A-470050