IdpMichaelTautschnig

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

IDP Online Workflow Recovery

Literature

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Students.ProjectForm
Title: Online Workflow Recovery
Abstract: Workflow recovery deals with the problem of identifying related phases of two recorded processes, given one of them has been annotated as desired. Once the relation has been established, the information can be used for, e. g., documentation purposes or process optimization. On the other hand, training feedback can be given by synchronizing a trainee’s 3D hand movements to those of an expert surgeon [7]. In the latter case, dynamic time warping (DTW) has been used, which has also been applied successfully in the context of statistics, speech recognition or error detection in industrial processes. Our motivation stems from the analysis of surgical operations. The offline recovery of the workflow allows for, e. g., automated documentation, but also for general OR workflow optimization. The importance of this issue in the OR of the future has been underlined in the OR2020 workshop. Further work on this subject is based on hidden Markov models to analyze the skills of the surgeon. However, their focus is on extraction and analysis of single tasks, whereas here the analysis of the whole process, i. e., the complete surgery, shall be emphasized.
Student: Michael Tautschnig
Director: Prof. Lasser
Supervisor: Tobias Sielhorst
Type: IDP
Status: finished
Start: 2006/11/26
Finish: 2006/04/26


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