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Magdalena Chmarra Print E-mail
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Name: Magdalena Chmarra
Position: Post-Doc at TU Delft
Institution: Delft University of Technology
Title of the lecture: "TrEndo tracking system and motion analysis in minimally invasive surgery"
CV:

Magdalena Chmarra is a postdoc researcher at the Department of BioMechanical Engineering at Delft University of Technology. She obtained her MSc degree in Mechatronics (specialization: Biocybernetics and Biomedical Engineering) from the Warsaw University of Technology in 2002. In 2003, she started a PhD study at Delft University of Technology (Faculty of Mechanical, Maritime and Materials Engineering) under supervision of Prof. Jenny Dankelman. In January 2009, she defended her PhD thesis entitled TrEndo tracking system. Motion analysis in minimally invasive surgery. Since 2007, she is a researcher in the group of Prof. Tetsuo Tomiyama (Intelligent Mechanical Systems) of the Department of BioMechanical Engineering, Delft University of Technology.

 

Selected Publications:

  • Chmarra MK, Grimbergen CA, Dankelman J (2007) Systems for tracking minimally invasive surgical instruments. Accepted for publication in Minimally Invasive Therapy & Allied Technologies
  • Chmarra MK, Jansen FW, Grimbergen CA, Dankelman J (2007) Retracting and seeking movements during laparoscopic goal-oriented movements. Is the shortest path length optimal? Surgical Endoscopy (in press)
  • Chmarra MK, Kolkman W, Jansen FW, Grimbergen CA, Dankelman J (2007) The influence of experience and camera holding on laparoscopic instrument movements measured with the TrEndo tracking system. Surgical Endoscopy (in press)
  • Chmarra MK, Bakker NH, Grimbergen CA, Dankelman J (2007) Optical mouse sensors for tracking surgical instruments. Mikroniek 1: 38-41
  • Chmarra MK, Dankelman J (2006) TrEndo – a system for tracking minimally invasive surgical instruments during training. Conference Medical Robots 2006 in Zabrze, Poland (in press)
  • Chmarra MK, Bakker NH, Grimbergen CA, Dankelman J (2006) TrEndo, a device for tracking minimally invasive surgical instruments in training set-ups. Sensors and Actuators A-Physical 126: 328–334
  • Dankelman J, Chmarra MK, Verdaasdonk EGG, Stassen LPS, Grimbergen CA (2005) Fundamental aspects of learning minimally invasive surgical skills. Minimally Invasive Therapy & Allied Technologies 14: 247-256

Research Interests:

Training and objective assessment of psychomotor skills in surgery, motion analysis, biomechanical engineering, design of mechatronics products.

 
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