Human Gait Analysis in Neurodegenerative Diseases: A Review

Human Gait Analysis in Neurodegenerative Diseases: A Review

This paper reviews the recent literature on technologies and methodologies for quantitative human gait analysis in the context of neurodegenerative diseases. The use of technological instruments can be of great support in both clinical diagnosis and severity assessment of these pathologies. In this...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics Vol. 26; no. 1; pp. 229 - 242
Main Authors: Cicirelli, Grazia, Impedovo, Donato, Dentamaro, Vincenzo, Marani, Roberto, Pirlo, Giuseppe, D'Orazio, Tiziana R.
Format: Journal Article
Language:English
Published: United States IEEE 01-01-2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Abnormalities
Accelerometers
Algorithms
Classification methodologies
Clustering
Diseases
Feature extraction
features
Foot
Gait
Gait Analysis
human gait analysis
Humans
Instruments
Legged locomotion
Neurodegenerative diseases
Neurodegenerative Diseases - diagnosis
Sensors
Wearable sensors
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Summary:This paper reviews the recent literature on technologies and methodologies for quantitative human gait analysis in the context of neurodegenerative 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 to provide a highly consistent work that explores the issues related to gait analysis. First, the phases of the human gait cycle are briefly explained, along with some non-normal gait patterns ( gait abnormalities ) typical of some neurodegenerative diseases. 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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:2168-2194
2168-2208
DOI:10.1109/JBHI.2021.3092875