Absorption function loss due to the history of previous ankle sprain explored by unsupervised machine learning

Zhang, Xuemei; Ogasawara, Issei; Konda, Shoji; Matsuo, Tomoyuki; Uno, Yuki; Miyakawa, Motoi; Nishizawa, Izumi; Arita, Kazuki; Liu, Jianting; Nakata, Ken

doi:https://doi.org/10.1016/j.gaitpost.2024.01.021

Absorption function loss due to the history of previous ankle sprain explored by unsupervised machine learning

Zhang, Xuemei; Ogasawara, Issei; Konda, Shoji et al.

Gait and Posture, 2024, 109, 56-63

Number of Access:1,134（2025-09-13 11:40 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/93620

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Title	Absorption function loss due to the history of previous ankle sprain explored by unsupervised machine learning
Creator	CreatorName Zhang, Xuemei
	NRID 1000070443249 1000070443249 ORCID 0000-0003-4176-689X 0000-0003-4176-689X researchmap permalink IsseiOgasawara IsseiOgasawara Scopus Author ID 14623197800 14623197800 CreatorName Ogasawara, Issei
	NRID 1000080598227 1000080598227 ORCID 0000-0002-8252-7281 0000-0002-8252-7281 researchmap permalink read0153426 read0153426 Scopus Author ID 36447423200 36447423200 CreatorName Konda, Shoji
	NRID 1000000209503 1000000209503 ORCID 0000-0002-9356-7406 0000-0002-9356-7406 researchmap permalink read0013900 read0013900 Scopus Author ID 7403703411 7403703411 CreatorName Matsuo, Tomoyuki
	CreatorName Uno, Yuki
	CreatorName Miyakawa, Motoi
	CreatorName Nishizawa, Izumi
	CreatorName Arita, Kazuki
	CreatorName Liu, Jianting
	NRID 1000000283747 1000000283747 researchmap permalink ken-nakata ken-nakata Scopus Author ID 7402151308 7402151308 CreatorName Nakata, Ken
Subject	Clustering
	History of ankle sprains
	K-means
	Principal component analysis
	Vertical ground reaction force
Description	Zhang X., Ogasawara I., Konda S., et al. Absorption function loss due to the history of previous ankle sprain explored by unsupervised machine learning. Gait and Posture 109, 56 (2024); https://doi.org/10.1016/j.gaitpost.2024.01.021 .
Abstract	Background: Ankle sprains are common and cause persistent ankle function reduction. To biomechanically evaluate the ankle function after ankle sprains, the ground reaction force (GRF) measurement during the single-legged landing had been used. However, previous studies focused on discrete features of vertical GRF (vGRF), which largely ignored vGRF waveform features that could better identify the ankle function. Purpose: To identify how the history of ankle sprain affect the vGRF waveform during the single-legged landing with unsupervised machine learning considering the time-series information of vGRF. Methods: Eighty-seven currently healthy basketball athletes (12 athletes without ankle sprain, 49 athletes with bilateral, and 26 athletes with unilateral ankle sprain more than 6 months before the test day) performed single-legged landings from a 20 centimeters (cm) high box onto the force platform. Totally 518 trials vGRF data were collected from 87 athletes of 174 ankles, including 259 ankle sprain trials (from previous sprain ankles) and 259 non-ankle sprain trials (from without sprain ankles). The first 100 milliseconds (ms) vGRF waveforms after landing were extracted. Principal component analysis (PCA) was applied to the vGRF data, selecting 8 principal components (PCs) representing 96% of the information. Based on these 8 PCs, k-means method (k = 3) clustered the 518 trials into three clusters. Chi-square test assessed significant differences (p < 0.01) in the distribution of ankle sprain and non-ankle sprain trials among clusters. Findings: The ankle sprain trials accounted for a significantly larger percentage (63.9%) in Cluster 3, which exhibited rapidly increased impulse vGRF waveforms with larger peaks in a short time. Significance: PCA and k-means method for vGRF waveforms during single-legged landing identified that the history of previous ankle sprains caused a loss of ankle absorption ability lasting at least 6 months from an ankle sprain.
Publisher	Elsevier B.V.
Source Title	Gait and Posture
Volume (Issue)	109
Page	56-63
Date of Issued	2024-03-01
Language	English
Handle URL	https://hdl.handle.net/11094/93620
PISSN	09666362
eISSN	18792219
Relation.isVersionOf	DOI (Publisher Version) https://doi.org/10.1016/j.gaitpost.2024.01.021
Access Rights	open access
CopyRight	© 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
oaire:version	Accepted Manuscript
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	Gait and Posture. 2024, 109, p. 56-63
DC.title	Absorption function loss due to the history of previous ankle sprain explored by unsupervised machine learning
DC.creator	Zhang, Xuemei
	Ogasawara, Issei
	Konda, Shoji
	Matsuo, Tomoyuki
	Uno, Yuki
	Miyakawa, Motoi
	Nishizawa, Izumi
	Arita, Kazuki
	Liu, Jianting
	Nakata, Ken
DC.publisher	Elsevier B.V.
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-03-01
DC.identifier	https://doi.org/10.1016/j.gaitpost.2024.01.021
DC.subject	Clustering
	History of ankle sprains
	K-means
	Principal component analysis
	Vertical ground reaction force
DC.description	Zhang X., Ogasawara I., Konda S., et al. Absorption function loss due to the history of previous ankle sprain explored by unsupervised machine learning. Gait and Posture 109, 56 (2024); https://doi.org/10.1016/j.gaitpost.2024.01.021 .
DCTERMS.abstract	Background: Ankle sprains are common and cause persistent ankle function reduction. To biomechanically evaluate the ankle function after ankle sprains, the ground reaction force (GRF) measurement during the single-legged landing had been used. However, previous studies focused on discrete features of vertical GRF (vGRF), which largely ignored vGRF waveform features that could better identify the ankle function. Purpose: To identify how the history of ankle sprain affect the vGRF waveform during the single-legged landing with unsupervised machine learning considering the time-series information of vGRF. Methods: Eighty-seven currently healthy basketball athletes (12 athletes without ankle sprain, 49 athletes with bilateral, and 26 athletes with unilateral ankle sprain more than 6 months before the test day) performed single-legged landings from a 20 centimeters (cm) high box onto the force platform. Totally 518 trials vGRF data were collected from 87 athletes of 174 ankles, including 259 ankle sprain trials (from previous sprain ankles) and 259 non-ankle sprain trials (from without sprain ankles). The first 100 milliseconds (ms) vGRF waveforms after landing were extracted. Principal component analysis (PCA) was applied to the vGRF data, selecting 8 principal components (PCs) representing 96% of the information. Based on these 8 PCs, k-means method (k = 3) clustered the 518 trials into three clusters. Chi-square test assessed significant differences (p < 0.01) in the distribution of ankle sprain and non-ankle sprain trials among clusters. Findings: The ankle sprain trials accounted for a significantly larger percentage (63.9%) in Cluster 3, which exhibited rapidly increased impulse vGRF waveforms with larger peaks in a short time. Significance: PCA and k-means method for vGRF waveforms during single-legged landing identified that the history of previous ankle sprains caused a loss of ankle absorption ability lasting at least 6 months from an ankle sprain.
DC.rights	© 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
DC.format	93620
citation_title	Absorption function loss due to the history of previous ankle sprain explored by unsupervised machine learning
citation_author	Zhang, Xuemei
	Ogasawara, Issei
	Konda, Shoji
	Matsuo, Tomoyuki
	Uno, Yuki
	Miyakawa, Motoi
	Nishizawa, Izumi
	Arita, Kazuki
	Liu, Jianting
	Nakata, Ken
citation_publisher	Elsevier B.V.
citation_language	English
citation_date	2024-03-01
citation_journal_title	Gait and Posture
citation_volume	109
citation_firstpage	56
citation_lastpage	63
citation_doi	https://doi.org/10.1016/j.gaitpost.2024.01.021
citation_public_url	https://hdl.handle.net/11094/93620

Absorption function loss due to the history of previous ankle sprain explored by unsupervised machine learning

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