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Development of Postural Stability Index to Distinguish Different Stability States

A key factor for fall prevention involves understanding the pathophysiology of stability. This study proposes the postural stability index (PSI), which is a novel measure to quantify different stability states on healthy subjects. The results of the x-, y-, and z-axes of the acceleration signals wer...

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Detalles Bibliográficos
Autores principales: Nurwulan, Nurul Retno, Jiang, Bernard C., Novak, Vera
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514794/
https://www.ncbi.nlm.nih.gov/pubmed/33267028
http://dx.doi.org/10.3390/e21030314
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author Nurwulan, Nurul Retno
Jiang, Bernard C.
Novak, Vera
author_facet Nurwulan, Nurul Retno
Jiang, Bernard C.
Novak, Vera
author_sort Nurwulan, Nurul Retno
collection PubMed
description A key factor for fall prevention involves understanding the pathophysiology of stability. This study proposes the postural stability index (PSI), which is a novel measure to quantify different stability states on healthy subjects. The results of the x-, y-, and z-axes of the acceleration signals were analyzed from 10 healthy young adults and 10 healthy older adults under three conditions as follows: Normal walking, walking with obstacles, and fall-like motions. The ensemble empirical mode decomposition (EEMD) was used to reconstruct the acceleration signal data. Wearable accelerometers were located on the ankles and knees of the subjects. The PSI indicated a decreasing trend of its values from normal walking to the fall-like motions. Free-walking data were used to determine the stability based on the PSI. The segmented free-walking data indicated changes in the stability states that suggested that the PSI is potentially helpful in quantifying gait stability.
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spelling pubmed-75147942020-11-09 Development of Postural Stability Index to Distinguish Different Stability States Nurwulan, Nurul Retno Jiang, Bernard C. Novak, Vera Entropy (Basel) Article A key factor for fall prevention involves understanding the pathophysiology of stability. This study proposes the postural stability index (PSI), which is a novel measure to quantify different stability states on healthy subjects. The results of the x-, y-, and z-axes of the acceleration signals were analyzed from 10 healthy young adults and 10 healthy older adults under three conditions as follows: Normal walking, walking with obstacles, and fall-like motions. The ensemble empirical mode decomposition (EEMD) was used to reconstruct the acceleration signal data. Wearable accelerometers were located on the ankles and knees of the subjects. The PSI indicated a decreasing trend of its values from normal walking to the fall-like motions. Free-walking data were used to determine the stability based on the PSI. The segmented free-walking data indicated changes in the stability states that suggested that the PSI is potentially helpful in quantifying gait stability. MDPI 2019-03-22 /pmc/articles/PMC7514794/ /pubmed/33267028 http://dx.doi.org/10.3390/e21030314 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nurwulan, Nurul Retno
Jiang, Bernard C.
Novak, Vera
Development of Postural Stability Index to Distinguish Different Stability States
title Development of Postural Stability Index to Distinguish Different Stability States
title_full Development of Postural Stability Index to Distinguish Different Stability States
title_fullStr Development of Postural Stability Index to Distinguish Different Stability States
title_full_unstemmed Development of Postural Stability Index to Distinguish Different Stability States
title_short Development of Postural Stability Index to Distinguish Different Stability States
title_sort development of postural stability index to distinguish different stability states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514794/
https://www.ncbi.nlm.nih.gov/pubmed/33267028
http://dx.doi.org/10.3390/e21030314
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