Development of an algorithm to predict comfort of wheelchair fit based on clinical measures

• Kon Keisuke

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

• Hayakawa Yasuyuki

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

• Shimizu Shingo

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

• Nosaka Toshiya

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

• Tsuruga Takeshi

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

• Matsubara Hiroyuki

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

• Nomura Tomohiro

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

• Murahara Shin

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

• Haruna Hirokazu

  Department of Physical Therapy, Faculty of Health Sciences, Hokkaido University of Science, Japan

• Ino Takumi

  Department of Physical Therapy, Faculty of Health Sciences, Hokkaido University of Science, Japan

• Inagaki Jun

  Department of Information Engineering, Faculty of Engineering, Hokkaido University of Science, Japan

• Kobayashi Toshiki

  Department of Prosthetics and Orthotics, Faculty of Health Sciences, Hokkaido University of Science: 7-15-4-1 Maeda, Teine, Sapporo, Hokkaido 006-8585, Japan

抄録

[Purpose] The purpose of this study was to develop an algorithm to predict the comfort of a subject seated in a wheelchair, based on common clinical measurements and without depending on verbal communication. [Subjects] Twenty healthy males (mean age: 21.5 ± 2 years; height: 171 ± 4.3 cm; weight: 56 ± 12.3 kg) participated in this study. [Methods] Each experimental session lasted for 60 min. The clinical measurements were obtained under 4 conditions (good posture, with and without a cushion; bad posture, with and without a cushion). Multiple regression analysis was performed to determine the relationship between a visual analogue scale and exercise physiology parameters (respiratory and metabolism), autonomic nervous parameters (heart rate, blood pressure, and salivary amylase level), and 3D-coordinate posture parameters (good or bad posture). [Results] For the equation (algorithm) to predict the visual analogue scale score, the adjusted multiple correlation coefficient was 0.72, the residual standard deviation was 1.2, and the prediction error was 12%. [Conclusion] The algorithm developed in this study could predict the comfort of healthy male seated in a wheelchair with 72% accuracy.

収録刊行物

• Ｊ　Ｐｈｙｓ　Ｔｈｅｒ　Ｓｃｉ

  Ｊ　Ｐｈｙｓ　Ｔｈｅｒ　Ｓｃｉ 27 (9), 2813-2816, 2015

  理学療法科学学会

キーワード

• Wheelchair seating
• Posture maintenance
• Multivariate analysis

詳細情報

• CRID: 1390001204331550848
• NII論文ID: 130005101132
• DOI: 10.1589/jpts.27.2813
• ISSN: 21875626
• ISSN: 09155287
• Web Site: https://www.jstage.jst.go.jp/article/jpts/27/9/27_jpts-2015-289/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2016359686
• 本文言語コード: en
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• 抄録ライセンスフラグ: 使用不可