773
Views
7
CrossRef citations to date
0
Altmetric
Research Article

Sensor fusion for laparoscopic surgery skill acquisition

, , &
Pages 269-283 | Received 15 Nov 2011, Accepted 13 Aug 2012, Published online: 25 Oct 2012

References

  • Dunkin B, Adrales GL, Apelgren K, Mellinger JD. Surgical simulation: a current review. Surg Endosc 2007; 21(3)357–366
  • Martin JA, Regehr G, Reznick R, MacRae H, Murnaghan J, Hutchison C, Brown M. Objective structured assessment of technical skill (OSATS) for surgical residents. Br J Surg 1997; 84(2)273–278
  • Reiley CE, Lin HC, Yuh DD, Hager GD. Review of methods for objective surgical skill evaluation. Surg Endosc 2011; 25(2)356–366
  • Feng C, Haniffa H, Rozenblit J, Peng J, Hamilton A, Salkini M. Surgical training and performance assessment using a motion tracking system. Proceedings of the 2nd European Modeling and Simulation Symposium,. BarcelonaSpain October, 2006; 647–652
  • Dubois P, Thommen Q, Jambon AC. In vivo measurement of surgical gestures. IEEE Trans Biomed Eng 2002; 49(1)49–54
  • Cristancho SM, Hodgson AJ, Panton ONM, Meneghetti A, Warnock G, Qayumi K. Intraoperative monitoring of laparoscopic skill development based on quantitative measures. Surg Endosc 2009; 23(10)2181–2190
  • Grober ED, Roberts M, Shin EJ, Mahdi M, Bacal V. Intraoperative assessment of technical skills on live patients using economy of hand motion: establishing learning curves of surgical competence. Am J Surg 2010; 199(1)81–85
  • Datta V, Mackay S, Mandalia M, Darzi A. The use of electromagnetic motion tracking analysis to objectively measure open surgical skill in the laboratory-based model. J Am Coll Surgeons 2001; 193(5)479–485
  • Emam TA, Hanna GB, Kimber C, Cuschieri A. Differences between experts and trainees in the motion pattern of the dominant upper limb during intracorporeal endoscopic knotting. Digest Surg 2000; 17(2)120–123
  • Emam TA, Hanna GB, Kimber C, Dunkley P, Cuschieri A. Effect of intracorporeal-extracorporeal instrument length ratio on endoscopic task performance and surgeon movements. Arch Surg Chicago 2000; 135(1)62–65
  • Hwang H, Lim J, Kinnaird C, Nagy AG, Panton ONM, Hodgson AJ, Qayumi KA. Correlating motor performance with surgical error in laparoscopic cholecystectomy. Surg Endosc 2006; 20(4)651–655
  • Rosen J, Brown JD, Chang L, Barreca M, Sinanan M, Hannaford B, The BlueDRAGON – A system for measuring the kinematics and the dynamics of minimally invasive surgical tools in-vivo. In: Proceedings of the IEEE International Conference on Robotics and Automation, Washington, DC, USA, May 2002. pp 1876–1881
  • Lamata de la Orden P, Gomez Aguilera EJ, Lamata Hernandez F, Oltra Pastor A, Sanchez Margallo FM, del Pozo Guerrero F. Understanding perceptual boundaries in laparoscopic surgery. IEEE Trans Biomed Eng 2008; 55(3)866–873
  • Richards C, Rosen J, Hannaford B, Pellegrini C, Sinanan M. Skills evaluation in minimally invasive surgery using force/torque signatures. Surg Endosc 2000; 14(9)791–798
  • Gunther S, Rosen J, Hannaford B, Sinanan M. The red DRAGON: A multi-modality system for simulation and training in minimally invasive surgery. Stud Health Technol Inform 2007; 125: 149–154
  • Dubrowski A, Sidhu R, Park J, Carnahan H. Quantification of motion characteristics and forces applied to tissues during suturing. Am J Surg 2005; 190(1)131–136
  • Cotin S, Stylopoulos N, Ottensmeyer M, Neumann P, Rattner D, Dawson S, Metrics for laparoscopic skills trainers: The weakest link! In: Dohi T, Kikinis R, editors. Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2002), Tokyo, Japan, September 2002. Part I. Lecture Notes in Computer Science 2488. Berlin: Springer; 2002. pp 35–43
  • Chmarra MK, Kolkman W, Jansen FW, Grimbergen CA, Dankelman J. The influence of experience and camera holding on laparoscopic instrument movements measured with the TrEndo tracking system. Surg Endosc 2007; 21(11)2069–2075
  • Judkins TN, Oleynikov D, Stergiou N. Objective evaluation of expert and novice performance during robotic surgical training tasks. Surg Endosc 2009; 23(3)590–597
  • Oostema JA, Abdel MP, Gould JC. Time-efficient laparoscopic skills assessment using an augmented-reality simulator. Surg Endosc 2008; 22(12)2621–2624
  • Rosen J, Solazzo M, Hannaford B, Sinanan M. Objective laparoscopic skills assessments of surgical residents using hidden markov models based on haptic information and tool/tissue interactions. Stud Health Technol Inform 2001; 81: 417–423
  • Trejos AL, Patel RV, Naish MD, Schlachta CM, Design of a sensorized instrument for skills assessment and training in minimally invasive surgery. In: Proceedings of the 2nd IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2008), London, Ontario, Canada, October 2008. pp 965-970
  • Besl PJ, McKay ND. A method for registration of 3-D shapes. IEEE Trans Pattern Anal Machine Intel 1992; 14(2)239–256
  • Magill RA. Motor learning and control: Concepts and applications. McGraw-Hill, Boston, MA 2001
  • Sparrow WA, Newell KM. Metabolic energy expenditure and the regulation of movement economy. Psychon Bull Rev 1998; 5(2)173–196
  • Heise GD, Cornwell A. Relative contributions to the net joint moment for a planar multijoint throwing skill: Early and late in practice. Res Q Exerc Sport 1997; 68(2)116–124

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.