The department of surgery is the core unit of the patient care system within a hospital. Due to
continuous technical and medical developments, such departments are equipped with …

In this paper, we contribute to the development of context-aware operating rooms by
introducing a novel approach to modeling and monitoring the workflow of surgical …

In this paper, we present robust methods for automatically segmenting phases in a specified
surgical workflow by using latent Dirichlet allocation (LDA) and hidden Markov model (HMM) …

Identifying and recognizing the workflow of surgical interventions is a field of growing
interest. Several methods have been developed to identify intra-operative activities, detect …

Surgery rooms are complex environments where many interactions take place between staff
members and the electronic and mechanical systems. In spite of their inherent complexity …

The amount of signals that can be recorded during a surgery, like tracking data or state of
instruments, is constantly growing. These signals can be used to better understand surgical …

Surgical workflow recovery and analysis is gaining more and more importance for the
design of intelligent surgery rooms. In this work we used Hidden Markov Models to segment …

Managing workflows for surgical services in large multi-speciality hospitals is a challenging
task in part due to intrinsic as well as exogenous uncertainties and disturbances. Models …

Purpose Analyzing surgical activities has received a growing interest in recent years.
Several methods have been proposed to identify surgical activities and surgical phases from …

The field of surgical work-flow fosters the formalization and acquisition of surgical task
descriptions from real-time surgical interventions to support clinical and technical analysis …