The development of the data correction method and feature extraction for the skill evaluation of practical laparoscopic surgical training
-
- EBINA Koki
- Hokkaido University
-
- ABE Takashige
- Hokkaido University
-
- YAN Lingbo
- Hokkaido University
-
- HOTTA Kiyohiko
- Hokkaido University
-
- KON Masafumi
- Hokkaido University
-
- HIGUCHI Madoka
- Hokkaido University
-
- FURUMIDO Jun
- Hokkaido University
-
- IWAHARA Naoya
- Hokkaido University
-
- KOMIZUNAI Shunsuke
- Hokkaido University
-
- KURASHIMA Yo
- Hokkaido University
-
- KIKUCHI Hiroshi
- Hokkaido University
-
- MATSUMOTO Ryuji
- Hokkaido University
-
- OSAWA Takahiro
- Hokkaido University
-
- MURAI Sachiyo
- Hokkaido University
-
- TSUJITA Teppei
- National Defense Academy
-
- SASE Kazuya
- Tohoku Gakuin University
-
- CHEN Xiaoshuai
- Hirosaki University
-
- SENOO Taku
- Hokkaido University
-
- SHINOHARA Nobuo
- Hokkaido University
-
- KONNO Atsushi
- Hokkaido University
Bibliographic Information
- Other Title
-
- 実践的な腹腔鏡手術訓練技量解析のための計測データ補正処理の検討と特徴量算出
Abstract
<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>
Journal
-
- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
-
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2023 (0), 2P2-B26-, 2023
The Japan Society of Mechanical Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390017444754946560
-
- ISSN
- 24243124
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- Crossref
-
- Abstract License Flag
- Disallowed