Surgical workflow monitoring based on trajectory data mining

Atsushi Nara, Kiyoshi Izumi, Hiroshi Iseki, Takashi Suzuki, Kyojiro Nambu, Yasuo Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

This research aims at investigating intermediate-scale workflows using the surgical staff's movement pattern. In this study, we have introduced an ultrasonic location aware system to monitor intraoperative movement trajectories on surgical staffs for the workflow analysis. And we developed trajectory data mining for surgical workflow segmentation, and analyzed trajectory data with multiple cases. As a result, in 77.18% of total time, a kind of current operation stage could be correctly estimated. With high accuracy 85.96%, the estimation using trajectory data was able to distinguish whether a current 5 minutes was transition time from one stage to another stage or not.. Based on these results, we are implementing the surgery safe support system that promotes safe & efficient surgical operations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages283-291
Number of pages9
Volume6797 LNAI
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2nd JSAI International Symposia on Artificial Intelligence, JSAI-isAI 2010 - Tokyo
Duration: 2010 Nov 182010 Nov 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6797 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd JSAI International Symposia on Artificial Intelligence, JSAI-isAI 2010
CityTokyo
Period10/11/1810/11/19

Fingerprint

Work Flow
Data mining
Data Mining
Trajectories
Monitoring
Trajectory
Surgery
High Accuracy
Monitor
Segmentation
Ultrasonics
Movement

Keywords

  • Surgical Management
  • Surgical Workflow
  • Trajectory Analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Nara, A., Izumi, K., Iseki, H., Suzuki, T., Nambu, K., & Sakurai, Y. (2011). Surgical workflow monitoring based on trajectory data mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6797 LNAI, pp. 283-291). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6797 LNAI). https://doi.org/10.1007/978-3-642-25655-4_27

Surgical workflow monitoring based on trajectory data mining. / Nara, Atsushi; Izumi, Kiyoshi; Iseki, Hiroshi; Suzuki, Takashi; Nambu, Kyojiro; Sakurai, Yasuo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6797 LNAI 2011. p. 283-291 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6797 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nara, A, Izumi, K, Iseki, H, Suzuki, T, Nambu, K & Sakurai, Y 2011, Surgical workflow monitoring based on trajectory data mining. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6797 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6797 LNAI, pp. 283-291, 2nd JSAI International Symposia on Artificial Intelligence, JSAI-isAI 2010, Tokyo, 10/11/18. https://doi.org/10.1007/978-3-642-25655-4_27
Nara A, Izumi K, Iseki H, Suzuki T, Nambu K, Sakurai Y. Surgical workflow monitoring based on trajectory data mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6797 LNAI. 2011. p. 283-291. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-25655-4_27
Nara, Atsushi ; Izumi, Kiyoshi ; Iseki, Hiroshi ; Suzuki, Takashi ; Nambu, Kyojiro ; Sakurai, Yasuo. / Surgical workflow monitoring based on trajectory data mining. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6797 LNAI 2011. pp. 283-291 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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