書誌事項
- タイトル別名
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- The development of the data correction method and feature extraction for the skill evaluation of practical laparoscopic surgical training
抄録
<p>This paper describes the details of the data correction method and feature extraction for skill evaluation of practical laparoscopic surgical training. To analyze the surgical dexterity in practical laparoscopic surgical training, the motion capture (MoCap) based measurement system have been developed, and measurement experiment in cadaver surgical tranining were conducted. However, the measured data contains noise and missing values, skill analysis is not possible without data correction. For this background, outlier removal method using Kalman filter and other threshold-based method were applied. Linear interpolation and Savitzky-Golay filter were also applied to the data. After the data correction, feature extraction was performed and some kinematic indices of the surgical instruments were successfully calculated.</p>
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2023 (0), 2P2-B26-, 2023
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390017444754946560
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- ISSN
- 24243124
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可