Resumen
A large amount of data including joint kinematics, joint kinetics, clinical and functional measurements constitutes the clinical gait analysis basis which is a process whereby quantitative gait information are collected to aid in clinical decision-making. Therefore, better understanding the relationship between the biomechanical and clinical data for the knee osteoarthritis (OA) patient is for a relevant importance. It's the purpose of this paper, which aims to analyze and visualize the correlation structure between biomechanical characteristics and clinical symptoms, and thus to provide an additional knowledge from the coupling of these parameters that will be useful for the pathology assessment of knee-joint disease in the end-staged knee OA patients. We perform two multivariate statistical approaches, first, a Canonical Correlation Analysis (CCA) to assess the multivariate association and, second, a graphical- based representation of the multivariate correlation to better understand the association between these multivariate data. Results show the usefulness of using such multivariate approaches to highlight association and specific correlation structure between the features and to extract meaningful information.
Idioma original | English |
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Título de la publicación alojada | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society |
Subtítulo de la publicación alojada | Enabling Innovative Technologies for Global Healthcare, EMBC 2020 |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 5362-5368 |
Número de páginas | 7 |
ISBN (versión digital) | 9781728119908 |
DOI | |
Estado | Published - jul. 2020 |
Publicado de forma externa | Sí |
Evento | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada Duración: jul. 20 2020 → jul. 24 2020 |
Serie de la publicación
Nombre | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Volumen | 2020-July |
ISSN (versión impresa) | 1557-170X |
Conference
Conference | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 |
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País/Territorio | Canada |
Ciudad | Montreal |
Período | 7/20/20 → 7/24/20 |
Nota bibliográfica
Publisher Copyright:© 2020 IEEE.
ASJC Scopus Subject Areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't