Evaluating upper limb functions based on motion analysis
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- Suzuki Kento
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Santos Luciano
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Liu Chang
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Ueshima Hiroaki
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Yamamoto Goshiro
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Okahashi Sayaka
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Hiragi Shusuke
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Sugiyama Osamu
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Okamoto Kazuya
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
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- Kuroda Tomohiro
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
Bibliographic Information
- Other Title
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- 動作推定を用いた上肢機能評価モデル作成の試み
Abstract
<p>Conventional evaluation indices for upper limb function rehabilitation are based on the time to complete a task and the duration of movement. However, these metrics are insufficient to quanti-fy motor performance attributes, such as smooth-ness of movement and presence of compensatory movements. This study aims to introduce a quan-titative index for the evaluation of upper limb functions based on rehabilitation exercises per-formed by patients. For our initial evaluation, we chose the Grasp movement performed in ARAT (Action Research Arm Test), a conventional eval-uation method for upper limb functions in pa-tients with post-stroke syndrome. We use RGB videos of therapist imitating a patient with poste-rior syndrome. Machine learning techniques were employed to estimate posture and extract skeletal information, using time-series analysis, an eval-uation model was created to quantify the com-pensatory movements of post-stroke syndrome and healthy patients.</p>
Journal
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- Transactions of Japanese Society for Medical and Biological Engineering
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Transactions of Japanese Society for Medical and Biological Engineering Annual59 (Proc), 805-807, 2021
Japanese Society for Medical and Biological Engineering
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Details 詳細情報について
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- CRID
- 1390571240018167936
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- NII Article ID
- 130008105612
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- ISSN
- 18814379
- 1347443X
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed