步态
步态分析
背景(考古学)
计算机科学
特征提取
聚类分析
物理医学与康复
人工智能
数据科学
医学
生物
古生物学
作者
Grazia Cicirelli,Donato Impedovo,Vincenzo Dentamaro,Roberto Marani,Giuseppe Pirlo,Tiziana D’Orazio
出处
期刊:IEEE Journal of Biomedical and Health Informatics
[Institute of Electrical and Electronics Engineers]
日期:2021-06-28
卷期号:26 (1): 229-242
被引量:111
标识
DOI:10.1109/jbhi.2021.3092875
摘要
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.
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