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Evaluation of a long short-term memory (LSTM)-based algorithm for predicting central frequency and synergy activation ratio using markerless motion analysis data

Crossref DOI link: https://doi.org/10.1007/s13534-025-00498-0

Published Online: 2025-08-30

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Choi, Jun Won https://orcid.org/0009-0003-3134-6266
Jung, Woon Mo

Kim, Jong Min

Song, Chang Hyun

Kim, Won Gyeong

Kim, Han Sung https://orcid.org/0000-0003-2147-6553
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Text and Data Mining valid from 2025-08-30

Version of Record valid from 2025-08-30
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Article History

Received: 5 February 2025

Revised: 19 June 2025

Accepted: 17 July 2025

First Online: 30 August 2025

Declarations

:

: The authors have no pertinent financial or non-financial interests to disclose.

: Informed consent was obtained from all participants included in the study.

: Not applicable.

: The experimental procedures were approved by the Institutional Review Board of Yonsei University Mirae Campus (No. 1041849-202303-BM-038-02).

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