TY - GEN
T1 - Workflow analysis and surgical phase recognition in minimally invasive surgery
AU - Weede, Oliver
AU - Dittrich, Frank
AU - Worn, Heinz
AU - Jensen, Brian
AU - Knoll, Alois
AU - Wilhelm, Dirk
AU - Kranzfelder, Michael
AU - Schneider, Armin
AU - Feussner, Hubertus
PY - 2012
Y1 - 2012
N2 - In this paper, a new approach is described to recognize the phases of a single-port sigma resection intraoperatively, based on the position signal of the surgical instruments, the endoscopic video and an audio signal, signaling coagulations. Approaches for detecting the coagulation sounds, as well as the instruments visible in the endoscopic video using a bag of words model are detailed. The intervention phases are regarded as classes of a naive Bayes classifier. Features that differentiate intervention phases are examined. The naive Bayes classifier is extended by a dynamic feature, which includes the order of the intervention phases and their duration. First results show that in 93.2% the recognized phases are classified as true positive.
AB - In this paper, a new approach is described to recognize the phases of a single-port sigma resection intraoperatively, based on the position signal of the surgical instruments, the endoscopic video and an audio signal, signaling coagulations. Approaches for detecting the coagulation sounds, as well as the instruments visible in the endoscopic video using a bag of words model are detailed. The intervention phases are regarded as classes of a naive Bayes classifier. Features that differentiate intervention phases are examined. The naive Bayes classifier is extended by a dynamic feature, which includes the order of the intervention phases and their duration. First results show that in 93.2% the recognized phases are classified as true positive.
KW - Cognitive medical technology
KW - high-level task recognition
KW - object recognition
KW - sound recognition
KW - trajectory segmentation
KW - workflow analysis
UR - http://www.scopus.com/inward/record.url?scp=84876461134&partnerID=8YFLogxK
U2 - 10.1109/ROBIO.2012.6491111
DO - 10.1109/ROBIO.2012.6491111
M3 - Conference contribution
AN - SCOPUS:84876461134
SN - 9781467321273
T3 - 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest
SP - 1068
EP - 1074
BT - 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest
T2 - 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012
Y2 - 11 December 2012 through 14 December 2012
ER -