A survey on Alzheimer’s disease detection using gait analysis

authors:

avatar Mahmoud Seyfollahi , avatar Hadi Soltanizadeh , * , avatar Afsoon Hasani Mehraban , avatar Fatemeh Khamseh

Koomesh: Vol.22, issue 1; 10-27
published online: March 02, 2020
article type: Research Article
received: September 02, 2018
accepted: June 02, 2019

how to cite: Seyfollahi M, Soltanizadeh H, Hasani Mehraban A, Khamseh F. A survey on Alzheimer’s disease detection using gait analysis. koomesh. 2020;22(1):e153144. 

Abstract

Introduction: Early detection of Alzheimer;#39s disease (AD), as a neurodegenerative disease and the most common cause of dementia in the elderly people, using gait analysis have been particularly noted by researcher in recent years. Because this novel method is non-invasive, less cost, and feasible in non-clinical and laboratory environments. Therefore, in this Meta-Analysis review article, detection of AD using gait analysis based on information technology tools surveyed in previous studies. Materials and Methods: The search for previous articles was done in databases such as Google Scholar, Pubmed, IEEE, Springer, and Elsevier. After finding articles in these databases, appropriate articles were selected to survey based on criteria such as focusing of the study on elderly patients with AD or mild cognitive impairment, the detection and assessment of AD, and the use of sensor technology to record gait. Results: AD can be detected, even in the early stages and also at a stage of mild cognitive impairment based on gait analysis using new technologies with sensors and information technologies. Also, it is possible to quantitatively evaluate and more accurately detect the disease based on the combination of different sensor technologies and the use of artificial intelligence techniques. Conclusion: Although gait analysis can be a novel tool for early detection of AD, but it is essential to be developed and improved based on sensors and artificial intelligence in order to be used as a reliable clinical tools.

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