TY - GEN
T1 - Movement Analysis for Surgical Skill Assessment and Measurement of Ergonomic Conditions
AU - Weede, O.
AU - Mohrle, F.
AU - Worn, H.
AU - Falkinger, M.
AU - Feussner, H.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/5/5
Y1 - 2014/5/5
N2 - A measurement for ergonomic conditions is derived from motion analysis of surgical instruments. Several features for surgical skill assessment are examined and an overall grading system for surgical skill assessment and evaluation of ergonomic conditions based on the movement of the instruments' tool tips is presented. The grading system is applied to different ergonomic conditions provided by different types of displays, including three 3D displays. The features examined for skill evaluation include a movement alphabet derived from recorded trajectories by the k-Means algorithm. The system is trained with expert knowledge about the expertise of surgeons. The findings show that surgeons working under better ergonomic conditions perform less movements during an intervention. The time in which they move the instruments to complete the intervention is less. There is less depth oscillation with the tool-tips. The variety of different types of movements is less. The path length of the tool tips is shorter. There are less unnecessary movements. Results of a qualitative study show that measurements for skill evaluation can be applied for measuring ergonomic conditions.
AB - A measurement for ergonomic conditions is derived from motion analysis of surgical instruments. Several features for surgical skill assessment are examined and an overall grading system for surgical skill assessment and evaluation of ergonomic conditions based on the movement of the instruments' tool tips is presented. The grading system is applied to different ergonomic conditions provided by different types of displays, including three 3D displays. The features examined for skill evaluation include a movement alphabet derived from recorded trajectories by the k-Means algorithm. The system is trained with expert knowledge about the expertise of surgeons. The findings show that surgeons working under better ergonomic conditions perform less movements during an intervention. The time in which they move the instruments to complete the intervention is less. There is less depth oscillation with the tool-tips. The variety of different types of movements is less. The path length of the tool tips is shorter. There are less unnecessary movements. Results of a qualitative study show that measurements for skill evaluation can be applied for measuring ergonomic conditions.
KW - Movement analysis; surgical skill assessment; ergonomic conditions
UR - http://www.scopus.com/inward/record.url?scp=84983162488&partnerID=8YFLogxK
U2 - 10.1109/AIMS.2014.69
DO - 10.1109/AIMS.2014.69
M3 - Conference contribution
AN - SCOPUS:84983162488
T3 - Proceedings - 2nd International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014
SP - 97
EP - 102
BT - Proceedings - 2nd International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014
A2 - Al-Dabass, David
A2 - Romero, Gregorio
A2 - Corchado, Emilio
A2 - Pantelous, Athanasios
A2 - Saad, Ismail
A2 - Orsoni, Alessandra
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014
Y2 - 18 November 2014 through 20 November 2014
ER -