Machine Learning-Based Pre-Impact Fall Detection Model to Discriminate Various Types of Fall.

Kim, Tae Hyong; Choi, Ahnryul; Heo, Hyun Mu; Kim, Kyungran; Lee, Kyungsuk; Mun, Joung Hwan

Kim, Tae Hyong; Choi, Ahnryul; Heo, Hyun Mu; Kim, Kyungran; Lee, Kyungsuk; Mun, Joung Hwan.

Afiliação

Kim TH; Department of Biomechatronic Engineering,College of Biotechnology and Bioengineering,Sungkyunkwan University,2066 Seoburo,Jangangu,Suwon, Gyeonggi 16419, South Koreae-mail: sanctified@skku.edu.
Choi A; Department of Biomechatronic Engineering,College of Biotechnology and Bioengineering,Sungkyunkwan University,2066 Seoburo,Jangangu,Suwon, Gyeonggi 16419, South Korea.
Heo HM; Department of Biomedical Engineering,College of Medical Convergence,Catholic Kwandong University,24, Beomil-ro 579 beon-gill,Gangneung, Gangwon 25601, South Koreae-mail: achoi@cku.ac.kr.
Kim K; Department of Biomechatronic Engineering,College of Biotechnology and Bioengineering,Sungkyunkwan University,2066 Seoburo,Jangangu,Suwon, Gyeonggi 16419, South Koreae-mail: hhmoo91@naver.com.
Lee K; Agricultural Health and Safety Division,Rural Development Administration,300 Nongsaengmyeong-ro,Wansan-gu,Jeonju, Jeollabuk 54875, South Koreae-mail: kimgr@korea.kr.
Mun JH; Agricultural Health and Safety Division,Rural Development Administration,300 Nongsaengmyeong-ro,Wansan-gu,Jeonju,Jeollabuk 54875, South Koreae-mail: kyungsuk9903@gmail.com.

J Biomech Eng ; 141(8)2019 Aug 01.

Article em En | MEDLINE | ID: mdl-30968932

Palavras-chave

accelerometer time series; machine-learning algorithm; multiclass fall type; pre-impact fall detection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Biomech Eng Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos

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