Method for Intra-Surgical Phase Detection by Using Real-Time Medical Device Data

Norman Spangenberg , Christoph Augenstein , Caetano Traina Junior , Bogdan Franczyk , Martin Wagner , Martin Apitz , Hannes Kenngott

Abstract

The analysis of surgical activities became a popular field of research in recent years. Various methods had been published to detect surgical phases in various data sources in the operating room. Objective of this research is to develop a method for utilizing real-time information to extract surgical activities. In this work we use fine-grained data of surgical devices and operating room equipment which is produced permanently during surgeries. This low-level data help describing the current surgical phases and reflect real-time status of the endoscope, insufflator, electrosurgical devices and light sources. This is the basis for the development of a structured process to extract surgical phase recognition models. We show how to integrate expert knowledge and transfer this information into an automated and scalable information system for surgical phase recognition. The artifact is developed by adapting the method engineering methodology to find a best practice for utilizing fine-grained data for intrasurgical activity detection. We evaluated our approach with 15 data sets of laparoscopic surgeries and obtained an accuracy rate of about 83% with this approach
Author Norman Spangenberg
Norman Spangenberg,,
-
, Christoph Augenstein
Christoph Augenstein,,
-
, Caetano Traina Junior
Caetano Traina Junior,,
-
, Bogdan Franczyk (MISaF / IBI / DISD) - [inna]
Bogdan Franczyk,,
- Department of Information Systems Design
- inna
, Martin Wagner
Martin Wagner,,
-
, Martin Apitz
Martin Apitz,,
-
, Hannes Kenngott
Hannes Kenngott,,
-
Pages254-259
Publication size in sheets0.5
Book Bamidis Panagiotis, Konstantinidis Stahis, Rodrigues Pedro (eds.): 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (Vol.1), 2017, IEEE Computer Society Conference Publishing Services (CPS), ISBN 978-1-5386-1711-3, [978-1-5386-1710-6], 830 p.
DOIDOI:10.1109/CBMS.2017.65
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 25-04-2019, BookChapterMatConf
Ministerial score (2013-2016) = 15.0, 25-04-2019, BookChapterMatConf
Citation count*
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back