Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics)
Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics)
Application of ultrasonic sensors in a smart environment
Pervasive and Mobile Computing
Real world activity recognition with multiple goals
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
On-line recognition of surgical activity for monitoring in the operating room
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
A new distance measure for hidden Markov models
Expert Systems with Applications: An International Journal
Human computing and machine understanding of human behavior: a survey
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
Acquisition of process descriptions from surgical interventions
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Machine Recognition of Human Activities: A Survey
IEEE Transactions on Circuits and Systems for Video Technology
Surgical phases detection from microscope videos by combining SVM and HMM
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Guest Editorial: Biomedical Complexity and Error
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
An application-dependent framework for the recognition of high-level surgical tasks in the OR
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Classification of surgical processes using dynamic time warping
Journal of Biomedical Informatics
Workflow mining and outlier detection from clinical activity logs
Journal of Biomedical Informatics
Intervention time prediction from surgical low-level tasks
Journal of Biomedical Informatics
Multi-site study of surgical practice in neurosurgery based on surgical process models
Journal of Biomedical Informatics
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Recognizing and understanding surgical high-level tasks from sensor readings is important for surgical workflow analysis. Surgical high-level task recognition is also a challenging task in ubiquitous computing because of the inherent uncertainty of sensor data and the complexity of the operating room environment. In this paper, we present a framework for recognizing high-level tasks from low-level noisy sensor data. Specifically, we present a Markov-based approach for inferring high-level tasks from a set of low-level sensor data. We also propose to clean the noisy sensor data using a Bayesian approach. Preliminary results on a noise-free dataset of ten surgical procedures show that it is possible to recognize surgical high-level tasks with detection accuracies up to 90%. Introducing missed and ghost errors to the sensor data results in a significant decrease of the recognition accuracy. This supports our claim to use a cleaning algorithm before the training step. Finally, we highlight exciting research directions in this area.