Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data   Acquired by an iOS Application (TDPT-GT)

Distinguishing pathological gait is challenging in neurology because of the difficulty of capturing total body movement and its analysis. We aimed to obtain a convenient recording with an iPhone and establish an algorithm based on deep learning. From May 2021 to November 2022 at Yamagata University...

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Detalles Bibliográficos
Autores principales: Iseki, Chifumi, Hayasaka, Tatsuya, Yanagawa, Hyota, Komoriya, Yuta, Kondo, Toshiyuki, Hoshi, Masayuki, Fukami, Tadanori, Kobayashi, Yoshiyuki, Ueda, Shigeo, Kawamae, Kaneyuki, Ishikawa, Masatsune, Yamada, Shigeki, Aoyagi, Yukihiko, Ohta, Yasuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346151/
https://www.ncbi.nlm.nih.gov/pubmed/37448065
http://dx.doi.org/10.3390/s23136217

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