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Foot Trajectory Features in Gait of Parkinson’s Disease Patients

Parkinson’s disease (PD) is a progressive neurological disorder characterized by movement disorders, such as gait instability. This study investigated whether certain spatial features of foot trajectory are characteristic of patients with PD. The foot trajectory of patients with mild and advanced PD...

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Autores principales: Ogata, Taiki, Hashiguchi, Hironori, Hori, Koyu, Hirobe, Yuki, Ono, Yumi, Sawada, Hiroyuki, Inaba, Akira, Orimo, Satoshi, Miyake, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114796/
https://www.ncbi.nlm.nih.gov/pubmed/35600314
http://dx.doi.org/10.3389/fphys.2022.726677
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author Ogata, Taiki
Hashiguchi, Hironori
Hori, Koyu
Hirobe, Yuki
Ono, Yumi
Sawada, Hiroyuki
Inaba, Akira
Orimo, Satoshi
Miyake, Yoshihiro
author_facet Ogata, Taiki
Hashiguchi, Hironori
Hori, Koyu
Hirobe, Yuki
Ono, Yumi
Sawada, Hiroyuki
Inaba, Akira
Orimo, Satoshi
Miyake, Yoshihiro
author_sort Ogata, Taiki
collection PubMed
description Parkinson’s disease (PD) is a progressive neurological disorder characterized by movement disorders, such as gait instability. This study investigated whether certain spatial features of foot trajectory are characteristic of patients with PD. The foot trajectory of patients with mild and advanced PD in on-state and healthy older and young individuals was estimated from acceleration and angular velocity measured by inertial measurement units placed on the subject’s shanks, just above the ankles. We selected six spatial variables in the foot trajectory: forward and vertical displacements from heel strike to toe-off, maximum clearance, and change in supporting leg (F1 to F3 and V1 to V3, respectively). Healthy young individuals had the greatest F2 and F3 values, followed by healthy older individuals, and then mild PD patients. Conversely, the vertical displacements of mild PD patients were larger than the healthy older individuals. Still, those of healthy older individuals were smaller than the healthy young individuals except for V3. All six displacements of the advanced PD patients were smaller than the mild PD patients. To investigate features in foot trajectories in detail, a principal components analysis and soft-margin kernel support vector machine was used in machine learning. The accuracy in distinguishing between mild PD patients and healthy older individuals and between mild and advanced PD patients was 96.3 and 84.2%, respectively. The vertical and forward displacements in the foot trajectory was the main contributor. These results reveal that large vertical displacements and small forward ones characterize mild and advanced PD patients, respectively.
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spelling pubmed-91147962022-05-19 Foot Trajectory Features in Gait of Parkinson’s Disease Patients Ogata, Taiki Hashiguchi, Hironori Hori, Koyu Hirobe, Yuki Ono, Yumi Sawada, Hiroyuki Inaba, Akira Orimo, Satoshi Miyake, Yoshihiro Front Physiol Physiology Parkinson’s disease (PD) is a progressive neurological disorder characterized by movement disorders, such as gait instability. This study investigated whether certain spatial features of foot trajectory are characteristic of patients with PD. The foot trajectory of patients with mild and advanced PD in on-state and healthy older and young individuals was estimated from acceleration and angular velocity measured by inertial measurement units placed on the subject’s shanks, just above the ankles. We selected six spatial variables in the foot trajectory: forward and vertical displacements from heel strike to toe-off, maximum clearance, and change in supporting leg (F1 to F3 and V1 to V3, respectively). Healthy young individuals had the greatest F2 and F3 values, followed by healthy older individuals, and then mild PD patients. Conversely, the vertical displacements of mild PD patients were larger than the healthy older individuals. Still, those of healthy older individuals were smaller than the healthy young individuals except for V3. All six displacements of the advanced PD patients were smaller than the mild PD patients. To investigate features in foot trajectories in detail, a principal components analysis and soft-margin kernel support vector machine was used in machine learning. The accuracy in distinguishing between mild PD patients and healthy older individuals and between mild and advanced PD patients was 96.3 and 84.2%, respectively. The vertical and forward displacements in the foot trajectory was the main contributor. These results reveal that large vertical displacements and small forward ones characterize mild and advanced PD patients, respectively. Frontiers Media S.A. 2022-05-04 /pmc/articles/PMC9114796/ /pubmed/35600314 http://dx.doi.org/10.3389/fphys.2022.726677 Text en Copyright © 2022 Ogata, Hashiguchi, Hori, Hirobe, Ono, Sawada, Inaba, Orimo and Miyake. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Ogata, Taiki
Hashiguchi, Hironori
Hori, Koyu
Hirobe, Yuki
Ono, Yumi
Sawada, Hiroyuki
Inaba, Akira
Orimo, Satoshi
Miyake, Yoshihiro
Foot Trajectory Features in Gait of Parkinson’s Disease Patients
title Foot Trajectory Features in Gait of Parkinson’s Disease Patients
title_full Foot Trajectory Features in Gait of Parkinson’s Disease Patients
title_fullStr Foot Trajectory Features in Gait of Parkinson’s Disease Patients
title_full_unstemmed Foot Trajectory Features in Gait of Parkinson’s Disease Patients
title_short Foot Trajectory Features in Gait of Parkinson’s Disease Patients
title_sort foot trajectory features in gait of parkinson’s disease patients
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114796/
https://www.ncbi.nlm.nih.gov/pubmed/35600314
http://dx.doi.org/10.3389/fphys.2022.726677
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