This paper reviews the recent literature on technologies and methodologies for quantitative human gait analysis in the context of neurodegnerative diseases. The use of technological instruments can be of great support in both clinical diagnosis and severity assessment of these pathologies. In this paper, sensors, features and processing methodologies have been reviewed in order toprovide a highly consistent work that explores the issues related to gait analysis. First, the phases of the humangait cycle are briefly explained, along with some non normal gait patterns (gait abnormalities) typical of some neurodegenerative diseases. The work continues with a survey on the publicly available datasets principally used for comparing results. Then the paper reports the most common processing techniques for both feature selection and extraction and for classification and clustering. Finally,a conclusive discussion on current open problems and future directions is outlined.

Human Gait Analysis in Neurodegenerative Diseases: a Review

Grazia Cicirelli
Primo
Writing – Review & Editing
;
Roberto Marani;
2022

Abstract

This paper reviews the recent literature on technologies and methodologies for quantitative human gait analysis in the context of neurodegnerative diseases. The use of technological instruments can be of great support in both clinical diagnosis and severity assessment of these pathologies. In this paper, sensors, features and processing methodologies have been reviewed in order toprovide a highly consistent work that explores the issues related to gait analysis. First, the phases of the humangait cycle are briefly explained, along with some non normal gait patterns (gait abnormalities) typical of some neurodegenerative diseases. The work continues with a survey on the publicly available datasets principally used for comparing results. Then the paper reports the most common processing techniques for both feature selection and extraction and for classification and clustering. Finally,a conclusive discussion on current open problems and future directions is outlined.
2022
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
Human Gait Analysis
Sensors
Features
Classification Methodologies
Neurodegenerative Diseases
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/394981
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