Grant: Research Tools and Instruments - Category 1 (<$150,000)
University of Alberta
$93,309.00
System for the objective evaluation of minimally invasive surgical skills using curvature and mechanical energy signatures
FY 2010-11
Summary
Laparoscopic surgery, when performed by a well-trained surgeon, is a remarkably effective procedure that minimizes complications associated with large incisions, operative blood loss and post-operative pain, and speeds up recovery time. Unfortunately, from a surgeon's perspective, laparoscopic surgery is more challenging than conventional surgery because of the restricted vision, hand-eye coordination problems, limited working space and lack of tactile sensation. These issues also make laparoscopic surgery a more difficult skill
for medical students to master. In general, surgical performance is usually evaluated by experienced surgeons who determine if a resident has acquired sufficient experience to be autonomous. This task is made more complex in minimally invasive surgery as the gestures are carried out inside the patient body. There is no widely accepted method to objectively evaluate surgical skill. The need for such a method is particularly evident in minimally invasive surgery, where specific training methods have not been fully established and little is known about surgeons' skill acquisition process. Our approach to create an objective surgical
evaluation technique is based on the assumption that technical skill will reveal itself in the motions, forces, and torques as measured by sensors. Our goal is to develop a system that collect detailed data of the surgeon gesture which will then be compare to action of know experts to provide a closeness metric.
Program
Research Tools and Instruments - Category 1 (<$150,000)
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
406467-2011
Name nom
Boulanger, Pierre
Department département
Computing Science
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2011
Award amount
93309
Program id
EQPEQ
Program name en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
Research subject code
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Partie
1
Nb partie
1
Application title
System for the objective evaluation of minimally invasive surgical skills using curvature and mechanical energy signatures
Keyword
NSERC
Application summary
Laparoscopic surgery, when performed by a well-trained surgeon, is a remarkably effective procedure that minimizes complications associated with large incisions, operative blood loss and post-operative pain, and speeds up recovery time. Unfortunately, from a surgeon's perspective, laparoscopic surgery is more challenging than conventional surgery because of the restricted vision, hand-eye coordination problems, limited working space and lack of tactile sensation. These issues also make laparoscopic surgery a more difficult skill
for medical students to master. In general, surgical performance is usually evaluated by experienced surgeons who determine if a resident has acquired sufficient experience to be autonomous. This task is made more complex in minimally invasive surgery as the gestures are carried out inside the patient body. There is no widely accepted method to objectively evaluate surgical skill. The need for such a method is particularly evident in minimally invasive surgery, where specific training methods have not been fully established and little is known about surgeons' skill acquisition process. Our approach to create an objective surgical
evaluation technique is based on the assumption that technical skill will reveal itself in the motions, forces, and torques as measured by sensors. Our goal is to develop a system that collect detailed data of the surgeon gesture which will then be compare to action of know experts to provide a closeness metric.