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A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications

Jarchi, Delaram and Pope, James and Lee, Tracey KM and Tamjidi, Larisa and Mirzaei, Amirhosein and Sanei, Saeid (2018) 'A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications.' IEEE Reviews in Biomedical Engineering, 11. 177 - 194. ISSN 1937-3333

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Abstract

Gait analysis continues to be an important technique for many clinical applications to diagnose and monitor certain diseases. Many mental and physical abnormalities cause measurable differences in a person's gait. Gait analysis has applications in sport, computer games, physical rehabilitation, clinical assessment, surveillance, human recognition, modelling, and many other fields. There are established methods using various sensors for gait analysis, of which, accelerometers are one of the most often employed. Accelerometer sensors are generally more user friendly and less invasive. In this paper, we review research regarding accelerometer sensors used for gait analysis with particular focus on clinical applications. We provide a brief introduction to accelerometer theory followed by other popular sensing technologies. The commonly used gait phases and parameters are enumerated. The details of extracting the papers for review are provided. We also review several gait analysis software. Then, we provide an extensive report of accelerometry based gait analysis systems and applications with additional emphasis on trunk accelerometry. We conclude this review with future research directions.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 11 Jun 2019 09:14
Last Modified: 11 Jun 2019 09:14
URI: http://repository.essex.ac.uk/id/eprint/24786

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