Quantitative Motion Tracking of medical staff using integrated information recorded with camera and sensors

Research Project

Project/Area Number	26750168
Research Category	Grant-in-Aid for Young Scientists (B)
Allocation Type	Multi-year Fund
Research Field	Medical systems
Research Institution	Tokyo Women's Medical University
Principal Investigator	Suzuki Takashi 東京女子医科大学, 医学部, 研究生 (00468688)
Project Period (FY)	2014-04-01 – 2017-03-31
Project Status	Completed (Fiscal Year 2016)
Budget Amount *help	¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000) Fiscal Year 2016: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000) Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000) Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywords	手術工程 / プロセスマネジメント / 暗黙知 / 手術安全 / 距離画像 / 隠れマルコフモデル / SVM
Outline of Final Research Achievements	The purpose of this study is automatic detection of surgical incidents by analyzing motion and position of surgical staff in operating theater. We installed three RGB+Depth cameras in intelligent operating theater at Tokyo Women’s Medical University. Thirty craniotomy cases for brain tumor resection were recorded and analyzed. Position information of surgical staff varied depending on each surgical phase. Estimation of surgical phase was achieved using hidden Markov model based on feature value of position information.

Report

(4 results)