Data analytics interrogates robotic surgical performance using a microsurgery-specific haptic device

References

• Ganslandt O, Behari S, Gralla J, et al. Neuronavigation: concept, techniques and applications. Neurol India. 2002;50(3):244.
   PubMed Web of Science ®Google Scholar
• Schulz C, Waldeck S, Mauer UM. Intraoperative image guidance in neurosurgery: development, current indications, and future trends. Radiol Res Pract. 2012;2012:1–9.
   PubMedGoogle Scholar
• Yasargil MG. Microneurosurgery: microneurosurgery of CNS tumors. Stuttgart, Germany: Georg Thieme Verlag; 1996.
   Google Scholar
• Sutherland GR, Maddahi Y, Gan LS, et al. Robotics in the neurosurgical treatment of glioma. Surg Neurol Int. 2015;6(Suppl 1):S1.
   PubMedGoogle Scholar
• Moccia S, Foti S, Routray A, et al. Toward improving safety in neurosurgery with an active handheld instrument. Ann Biomed Eng. 2018;46(10):1450–1464.
   PubMed Web of Science ®Google Scholar
• Zhang T, Gong L, Wang S, et al. Hand-Held instrument with integrated parallel mechanism for active tremor compensation during microsurgery. Ann Biomed Eng. 2020;48(1):413–425.
   PubMed Web of Science ®Google Scholar
• Bethea BT, Okamura AM, Kitagawa M, et al. Application of haptic feedback to robotic surgery. J Laparoendosc Adv Surg Techn. 2004;14(3):191–195.
   PubMed Web of Science ®Google Scholar
• Das H, Zak H, Johnson J, et al. Evaluation of a telerobotic system to assist surgeons in microsurgery. Comput Aided Surg. 1999;4(1):15–25.
   PubMedGoogle Scholar
• Greer AD, Newhook PM, Sutherland GR. Human–machine interface for robotic surgery and stereotaxy. IEEE ASME Trans Mechatron. 2008;13(3):355–361.
   Web of Science ®Google Scholar
• Sutherland GR. Surgeon at a workstation: information age surgery. Cureus. 2012;4:e40.
   Google Scholar
• Okamura AM. Haptic feedback in robot-assisted minimally invasive surgery. Curr Opin Urol. 2009;19(1):102.
   PubMed Web of Science ®Google Scholar
• Talasaz A, Patel RV. Integration of force reflection with tactile sensing for minimally invasive robotics-assisted tumor localization. IEEE Trans Haptics. 2012;6(2):217–228.
   Web of Science ®Google Scholar
• Bae JH, Ploch CJ, Lin MA, et al., editors. Display of needle tip contact forces for steering guidance. 2016 IEEE haptics symposium (HAPTICS); IEEE; Philadelphia, Pennsylvania; 2016.
   Google Scholar
• Tholey G, Desai JP, editors. A modular, automated laparoscopic grasper with three-dimensional force measurement capability. Proceedings 2007 IEEE international conference on robotics and automation; IEEE; Roma, Italy; 2007.
   Google Scholar
• Tholey G, Desai JP, Castellanos AE. Force feedback plays a significant role in minimally invasive surgery: results and analysis. Ann Surg. 2005;241(1):102.
   PubMed Web of Science ®Google Scholar
• Hayward V, Gregorio P, Astley O, et al. Freedom-7: a high fidelity seven axis haptic device with application to surgical training. In: Experimental robotics V. Berlin, Heidelberg: Springer; 1998. p. 443–456.
   Google Scholar
• Massie TH, Salisbury JK, editors. The phantom haptic interface: a device for probing virtual objects. Proceedings of the ASME winter annual meeting, symposium on haptic interfaces for virtual environment and teleoperator systems; Chicago (IL); 1994.
   Google Scholar
• Van der Linde RQ, Lammertse P, Frederiksen E, et al., editors. The HapticMaster, a new high-performance haptic interface. Proc EuroHaptics. 2002. Available from: http://lars.mec.ua.pt/public/LAR%20Projects/Humanoid/2012_PedroCruz/BIBLIOGRAPHY/HapticMaster_vanderlinde.pdf
   Google Scholar
• Zareinia K, Maddahi Y, Ng C, et al. Performance evaluation of haptic hand‐controllers in a robot‐assisted surgical system. Int J Med Rob Comput Assisted Surg. 2015;11(4):486–501.
   PubMed Web of Science ®Google Scholar
• Tobergte A, Helmer P, Hagn U, et al., editors. The sigma. 7 haptic interface for MiroSurge: a new bi-manual surgical console. 2011 IEEE/RSJ international conference on intelligent robots and systems; IEEE; San Francisco, California; 2011.
   Google Scholar
• Garrec P, Friconneau J-P, Louveau F, editors. Virtuose 6D: a new force-control master arm using innovative ball-screw actuators. Proceedings of OSR2004–35th symposium on robotics; Mar; Paris (France); 2004.
   Google Scholar
• Panarese A, Edin BB. A modified low-cost haptic interface as a tool for complex tactile stimulation. Med Eng Phys. 2011;33(3):386–390.
   PubMed Web of Science ®Google Scholar
• Hoshyarmanesh HZ, Lama S, Sutherland GR. Development of a microsurgery-specific haptic hand-controller and evaluation of intrinsic kinematic performance. IEEE Trans Rob. 2020. under review.
   PubMedGoogle Scholar
• Hoshyarmanesh H, Zareinia, K, Lama S, et al. Evaluation of haptic devices and end-users: Novel performance metrics in tele-robotic microsurgery. Int J Med Robotics Comput Assist Surg. 2020;e2101. Available from: https://doi.org/10.1002/rcs.2101
   Google Scholar
• Sutherland GR, Hoshyarmanesh H, Zareinia K, et al. Microsurgery-specific haptic hand controller WO2019126863, International Application No.PCT/CA2018/000243; Dec 28, 2018.
   Google Scholar
• Baghdadi A, Hussein AA, Ahmed Y, et al. A computer vision technique for automated assessment of surgical performance using surgeons’ console-feed videos. Int J Comput Assist Radiol Surg. 2019;14(4):697–707.
   PubMed Web of Science ®Google Scholar
• Darzi A, Mackay S. Assessment of surgical competence. BMJ Qual Saf. 2001;10(suppl 2):ii64–ii69.
   Google Scholar
• Ghasemloonia A, Baxandall S, Zareinia K, et al. Evaluation of haptic interfaces for simulation of drill vibration in virtual temporal bone surgery. Comput Biol Med. 2016;78:9–17.
   PubMed Web of Science ®Google Scholar
• Ghasemloonia A, Maddahi Y, Zareinia K, et al. Surgical skill assessment using motion quality and smoothness. J Surg Educ. 2017;74(2):295–305.
   PubMed Web of Science ®Google Scholar
• Maddahi Y, Ghasemloonia A, Zareinia K, et al. Quantifying force and positional frequency bands in neurosurgical tasks. J Robot Surg. 2016;10(2):97–102.
   PubMed Web of Science ®Google Scholar
• Kumar R, Jog A, Vagvolgyi B, et al. Objective measures for longitudinal assessment of robotic surgery training. J Thorac Cardiovasc Surg. 2012;143(3):528–534.
   PubMed Web of Science ®Google Scholar
• Sainsbury B, Lacki M, Shahait M, et al. Evaluation of a virtual reality percutaneous nephrolithotomy (PCNL) surgical simulator. Front Rob AI. 2019;6:145.
   PubMed Web of Science ®Google Scholar
• Friedrich S, Konietschke F, Pauly M Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA. RM. arXiv preprint arXiv:180108002. 2018.
   Google Scholar
• Slack P, Coulson C, Ma X, et al. The effect of operating time on surgeons’ muscular fatigue. Ann R Coll Surg Engl. 2008;90(8):651–657.
   PubMed Web of Science ®Google Scholar
• Sugiyama T, Lama S, Gan LS, et al. Forces of tool-tissue interaction to assess surgical skill level. JAMA Surg. 2018;153(3):234–242.
   PubMed Web of Science ®Google Scholar
• Uemura M, Tomikawa M, Kumashiro R, et al. Analysis of hand motion differentiates expert and novice surgeons. J Surg Res. 2014;188(1):8–13.
   PubMed Web of Science ®Google Scholar
• Gallagher AG, Ritter EM, Champion H, et al. Virtual reality simulation for the operating room: proficiency-based training as a paradigm shift in surgical skills training. Ann Surg. 2005;241(2):364.
   PubMed Web of Science ®Google Scholar
• Baghdadi A, Cavuoto LA, Jones-Farmer A, et al. Monitoring worker fatigue using wearable devices: a case study to detect changes in gait parameters. J Qual Technol. 2019:1–25. DOI:10.1080/00224065.2019.1640097
   Web of Science ®Google Scholar
• Baghdadi A, Megahed FM, Esfahani ET, et al. A machine learning approach to detect changes in gait parameters following a fatiguing occupational task. Ergonomics. 2018;61(8):1116–1129.
   PubMed Web of Science ®Google Scholar
• Gorantla KR, Esfahani ET, editors. Surgical skill assessment using motor control features and hidden Markov model. 2019 41st annual international conference of the IEEE engineering in medicine and biology society (EMBC); IEEE; Berlin, Germany; 2019.
   Google Scholar
• Memar AH, Esfahani ET. Objective assessment of human workload in physical human-robot cooperation using brain monitoring. ACM Trans Hum-Robot Inter (THRI). 2019;9(2):1–21.
   Web of Science ®Google Scholar
• Netravali NA, Shen F, Park Y, et al. A perspective on robotic assistance for knee arthroplasty. Adv Orthop. 2013;2013. Article ID 970703.
   Google Scholar