Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery
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[1] J. Ruiz-Rabelo,et al. Validation of the NASA-TLX Score in Ongoing Assessment of Mental Workload During a Laparoscopic Learning Curve in Bariatric Surgery , 2015, Obesity Surgery.
[2] S. Bunce,et al. Functional near-infrared spectroscopy , 2006, IEEE Engineering in Medicine and Biology Magazine.
[3] Masakatsu G. Fujie,et al. Operability evaluation using an simulation system for gripping motion in robotic tele-surgery , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[4] Somayeh B. Shafiei,et al. Understanding Cognitive Performance During Robot-Assisted Surgery. , 2015, Urology.
[5] Cindy H. Lio,et al. A Mental Workload Study on the 2d and 3d Viewing Conditions of the da Vinci Surgical Robot , 2009 .
[6] D. Eisenstein,et al. Quality of Communication in Robotic Surgery and Surgical Outcomes , 2016, JSLS : Journal of the Society of Laparoendoscopic Surgeons.
[7] H. G. van der Poel,et al. Cognitive training for technical and non‐technical skills in robotic surgery: a randomised controlled trial , 2018, BJU international.
[8] Adolfo Peña,et al. The Dreyfus model of clinical problem-solving skills acquisition: a critical perspective , 2010, Medical education online.
[9] Thenkurussi Kesavadas,et al. Augmented‐reality‐based skills training for robot‐assisted urethrovesical anastomosis: a multi‐institutional randomised controlled trial , 2015, BJU international.
[10] R. Flin,et al. Non-technical skills for surgeons in the operating room: a review of the literature. , 2006, Surgery.
[11] Guang-Zhong Yang,et al. Cognitive Burden Estimation for Visuomotor Learning with fNIRS , 2010, MICCAI.
[12] K. Cleary,et al. State of the Art in Surgical Robotics: Clinical Applications and Technology Challenges , 2001 .
[13] Michael B. McCamy,et al. Saccadic Eye Movement Metrics Reflect Surgical Residents' Fatigue , 2014, Annals of surgery.
[14] K. Guru,et al. Improving Teamwork: Evaluating Workload of Surgical Team During Robot-assisted Surgery. , 2017, Urology.
[15] Torsten B Neilands,et al. The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research , 2006, BMC Health Services Research.
[16] P. Chiu,et al. Randomized controlled trial of EndoWrist-enabled robotic versus human laparoendoscopic single-site access surgery (LESS) in the porcine model , 2018, Surgical Endoscopy.
[17] Prokar Dasgupta,et al. Defining and Validating Non-technical Skills Training in Robotics , 2021 .
[18] Manreet Kaur,et al. Wisconsin Card Sorting Test: Normative data and experience , 2006, Indian journal of psychiatry.
[19] Sarah Feldt Muldoon,et al. Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery , 2018, Scientific Reports.
[20] Scientific Skill Assessment of Basic Surgical Dissection and Overall Laparoscopic Performance. , 2017, Journal of endourology.
[21] P. Dasgupta,et al. Development and validation of a tool for non-technical skills evaluation in robotic surgery—the ICARS system , 2017, Surgical Endoscopy.
[22] S. Thangaratinam,et al. The Delphi technique , 2005 .
[23] Face, content, construct, and concurrent validity of a novel robotic surgery patient-side simulator: the Xperience™ Team Trainer , 2016, Surgical Endoscopy.
[24] I. Broeders,et al. Ergonomics, user comfort, and performance in standard and robot-assisted laparoscopic surgery , 2008, Surgical Endoscopy.
[25] C. Walters,et al. Maximizing Efficiency and Reducing Robotic Surgery Costs Using the NASA Task Load Index , 2017, AORN journal.
[26] Gerald Matthews,et al. Mental workload and stress perceived by novice operators in the laparoscopic and robotic minimally invasive surgical interfaces. , 2012, Journal of endourology.
[27] Ehsanollah Habibi,et al. Evaluation of Rating Scale Mental Effort (RSME) effectiveness for mental workload assessment in nurses , 2016 .
[28] Christine L. Lisetti,et al. Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals , 2004, EURASIP J. Adv. Signal Process..
[29] Xiaoyang Jin,et al. Adapting the short form of the Coping Inventory for Stressful Situations into Chinese , 2017, Neuropsychiatric disease and treatment.
[30] Gerald Matthews,et al. Multidimensional Profiling of Task Stress States for Human Factors , 2016, Hum. Factors.
[31] Mark R. Wilson,et al. Development and Validation of a Surgical Workload Measure: The Surgery Task Load Index (SURG-TLX) , 2011, World Journal of Surgery.
[32] Sarah Henrickson Parker,et al. Is the "sterile cockpit" concept applicable to cardiovascular surgery critical intervals or critical events? The impact of protocol-driven communication during cardiopulmonary bypass. , 2010, The Journal of thoracic and cardiovascular surgery.
[33] An Ergonomic Assessment Of Four Different Donor Nephrectomy Approaches For The Surgeons And Their Assistants , 2019, Research and reports in urology.
[34] I. Pavlidis,et al. Fast by Nature - How Stress Patterns Define Human Experience and Performance in Dexterous Tasks , 2012, Scientific Reports.
[35] Tamas Haidegger,et al. Autonomy for Surgical Robots: Concepts and Paradigms , 2019, IEEE Transactions on Medical Robotics and Bionics.
[36] Nassib G. Chamoun,et al. An introduction to bispectral analysis for the electroencephalogram , 1994, Journal of Clinical Monitoring.
[37] Keno März,et al. Toward a standard ontology of surgical process models , 2018, International Journal of Computer Assisted Radiology and Surgery.
[38] K. Chinzei. Safety of Surgical Robots and IEC 80601-2-77: The First International Standard for Surgical Robots , 2019, Acta Polytechnica Hungarica.
[39] Peter Kazanzides,et al. Mobile Teleoperation: Evaluation of Wireless Wearable Sensing of the Operator's Arm Motion , 2021, ArXiv.
[40] K. Guru,et al. Do surgeon non-technical skills correlate with teamwork-related outcomes during robot-assisted surgery? , 2019, BMJ Leader.
[41] Masakatsu G. Fujie,et al. Development of Real-Time Simulation for Workload Quantization in Robotic Tele-surgery , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.
[42] Paula Gomes,et al. Surgical robotics: Reviewing the past, analysing the present, imagining the future , 2011 .
[43] Nick Sevdalis,et al. The impact of nontechnical skills on technical performance in surgery: a systematic review. , 2012, Journal of the American College of Surgeons.
[44] Nigel H. Lovell,et al. Advanced Intelligent Systems for Surgical Robotics , 2020, Adv. Intell. Syst..
[45] Mark R. Wilson,et al. Surgeons’ display reduced mental effort and workload while performing robotically assisted surgical tasks, when compared to conventional laparoscopy , 2015, Surgical Endoscopy.
[46] Demetrios Demetriades,et al. The impact of heat stress on operative performance and cognitive function during simulated laparoscopic operative tasks. , 2015, Surgery.
[47] Gyusung I. Lee,et al. Comparative assessment of physical and cognitive ergonomics associated with robotic and traditional laparoscopic surgeries , 2014, Surgical Endoscopy.
[48] A Prospective, Observational, Multicentre Study Concerning Nontechnical Skills in Robot-assisted Radical Cystectomy Versus Open Radical Cystectomy , 2020, European urology open science.
[49] Gregory Wilding,et al. Cognitive skills assessment during robot‐assisted surgery: separating the wheat from the chaff , 2015, BJU international.
[50] David Azari,et al. In Search of Characterizing Surgical Skill. , 2019, Journal of surgical education.
[51] J L Ochsner,et al. Minimally invasive surgical procedures. , 2000, The Ochsner journal.
[52] R. Darin Ellis,et al. Toward Personalized Training and Skill Assessment in Robotic Minimally Invasive Surgery , 2016, WCE 2016.
[53] Teresa Wilcox,et al. fNIRS in the developmental sciences. , 2015, Wiley interdisciplinary reviews. Cognitive science.
[54] Lora Cavuoto,et al. Anticipation, teamwork and cognitive load: chasing efficiency during robot-assisted surgery , 2017, BMJ Quality & Safety.
[55] A. Darzi,et al. Qualitative and quantitative analysis of the learning curve of a simulated surgical task on the da Vinci system , 2004, Surgical Endoscopy And Other Interventional Techniques.
[56] Probabilistic Method to Improve the Accuracy of Computer-Integrated Surgical Systems , 2019, Acta Polytechnica Hungarica.
[57] J. Pow-Sang,et al. Urology residents experience comparable workload profiles when performing live porcine nephrectomies and robotic surgery virtual reality training modules , 2016, Journal of Robotic Surgery.
[58] C. Thompson,et al. Robot-assisted endoscopic submucosal dissection versus conventional ESD for colorectal lesions: outcomes of a randomized pilot study in endoscopists without prior ESD experience (with video). , 2019, Gastrointestinal endoscopy.
[59] Esther Lau,et al. Impact of robotic assistance on mental workload and cognitive performance of surgical trainees performing a complex minimally invasive suturing task , 2019, Surgical Endoscopy.
[60] A. Hung,et al. The Importance of Technical and Non-technical Skills in Robotic Surgery Training. , 2018, European urology focus.
[61] Nick Sevdalis,et al. The impact of intra-operative interruptions on surgeons’ perceived workload: an observational study in elective general and orthopedic surgery , 2014, Surgical Endoscopy.
[62] Hee Chan Kim,et al. A Novel Wearable EEG and ECG Recording System for Stress Assessment , 2019, Sensors.
[63] Mark R. Wilson,et al. Conscious motor processing and movement self-consciousness: two dimensions of personality that influence laparoscopic training. , 2014, Journal of surgical education.
[64] Rajnikant V. Patel,et al. Robotics-Assisted Surgical Skills Evaluation based on Electrocortical Activity , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[65] A. Darzi,et al. Robotic Surgery Improves Technical Performance and Enhances Prefrontal Activation During High Temporal Demand , 2018, Annals of Biomedical Engineering.
[66] R. Nager,et al. Skin temperature reveals the intensity of acute stress , 2015, Physiology & Behavior.
[67] W. Kinlaw,et al. Indirect measurement of isovolumetric contraction time and tension period in normal subjects. , 1962, The American journal of cardiology.
[68] V. Naik,et al. Do technical skills correlate with non-technical skills in crisis resource management: a simulation study , 2012, British journal of anaesthesia.
[69] J. Anger,et al. Safety, efficiency and learning curves in robotic surgery: a human factors analysis , 2016, Surgical Endoscopy.
[70] Pawel Wisz,et al. Training in robotic surgery, replicating the airline industry. How far have we come? , 2019, World Journal of Urology.
[71] Steven Yule,et al. Surgeons' non-technical skills. , 2012, The Surgical clinics of North America.
[72] Sandra G. Hart,et al. Nasa-Task Load Index (NASA-TLX); 20 Years Later , 2006 .
[73] Chandru P Sundaram,et al. Validation of a novel virtual reality robotic simulator. , 2009, Journal of endourology.
[74] Gordon H Guyatt,et al. GrADe : what is “ quality of evidence ” and why is it important to clinicians ? rATING quALITY of evIDeNCe AND STreNGTH of reCommeNDATIoNS , 2022 .
[75] The Value of Open Conversion Simulations During Robot-Assisted Radical Prostatectomy: Implications for Robotic Training Curricula. , 2015, Journal of endourology.
[76] Nick Sevdalis,et al. Reliability of a revised NOTECHS scale for use in surgical teams. , 2008, American journal of surgery.
[77] Irfan A. Essa,et al. Automated surgical skill assessment in RMIS training , 2017, International Journal of Computer Assisted Radiology and Surgery.
[78] Masakatsu G. Fujie,et al. Pilot study on verification of effectiveness on operability of assistance system for robotic tele-surgery using simulation , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[79] M. Stella Atkins,et al. Eye gaze patterns differentiate novice and experts in a virtual laparoscopic surgery training environment , 2004, ETRA.
[80] Algis Daktariunas,et al. Functional near-infrared spectroscopy: a continuous wave type based system for human frontal lobe studies , 2015, EXCLI journal.
[81] G. Youngson. Nontechnical skills in pediatric surgery: Factors influencing operative performance. , 2016, Journal of pediatric surgery.
[82] Sandra Marshall,et al. Using objective robotic automated performance metrics and task-evoked pupillary response to distinguish surgeon expertise , 2019, World Journal of Urology.
[83] M. Forsman,et al. Intraoperative workload in robotic surgery assessed by wearable motion tracking sensors and questionnaires , 2017, Surgical Endoscopy.
[84] Stefanie Speidel,et al. Video-based surgical skill assessment using 3D convolutional neural networks , 2019, International Journal of Computer Assisted Radiology and Surgery.
[85] S. Hart,et al. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .
[86] Lora Cavuoto,et al. The Loud Surgeon Behind the Console: Understanding Team Activities During Robot-Assisted Surgery. , 2016, Journal of surgical education.
[87] Renaldo C. Blocker,et al. NASA-Task Load Index Differentiates Surgical Approach: Opportunities for Improvement in Colon and Rectal Surgery. , 2020, Annals of surgery.
[88] A. Darzi,et al. Inattention blindness in surgery , 2015, Surgical Endoscopy.
[89] Nick Sevdalis,et al. Observational teamwork assessment for surgery: content validation and tool refinement. , 2011, Journal of the American College of Surgeons.
[90] J. Korndorffer,et al. Robotic assistance improves intracorporeal suturing performance and safety in the operating room while decreasing operator workload , 2010, Surgical Endoscopy.
[91] W. B. Seales,et al. Assessing Mental Workload During Laparoscopic Surgery , 2005, Surgical innovation.
[92] Gyusung I. Lee,et al. Can a virtual reality surgical simulation training provide a self-driven and mentor-free skills learning? Investigation of the practical influence of the performance metrics from the virtual reality robotic surgery simulator on the skill learning and associated cognitive workloads , 2017, Surgical Endoscopy.
[93] Paolo Fiorini,et al. Neurophysiological measures for users' training objective assessment during simulated robot-assisted laparoscopic surgery , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[94] Guang-Zhong Yang,et al. Gaze-Contingent Motor Channelling, haptic constraints and associated cognitive demand for robotic MIS , 2012, Medical Image Anal..
[95] H. John,et al. Da Vinci© Skills Simulator™: is an early selection of talented console surgeons possible? , 2016, Journal of Robotic Surgery.
[96] M. Stella Atkins,et al. Workload assessment of surgeons: correlation between NASA TLX and blinks , 2012, Surgical Endoscopy.
[97] William S. Helton,et al. Validation of a Short Stress State Questionnaire , 2004 .
[98] J. Heemskerk,et al. Relax, It's Just Laparoscopy! A Prospective Randomized Trial on Heart Rate Variability of the Surgeon in Robot-Assisted versus Conventional Laparoscopic Cholecystectomy , 2014, Digestive Surgery.
[99] Ahmed M. Zihni,et al. Operative performance outcomes of a simulator-based robotic surgical skills curriculum , 2019, Surgical Endoscopy.
[100] David B. Boles,et al. The Multiple Resources Questionnaire (MRQ) , 2001 .
[101] Juan Pablo Wachs,et al. Joint Surgeon Attributes Estimation in Robot-Assisted Surgery , 2018, HRI.
[102] Tamás Haidegger,et al. Handover Process of Autonomous Vehicles – Technology and Application Challenges , 2019, Acta Polytechnica Hungarica.
[103] K. Catchpole,et al. Intra-operative disruptions, surgeon’s mental workload, and technical performance in a full-scale simulated procedure , 2015, Surgical Endoscopy.
[104] L. Panait,et al. Do laparoscopic skills transfer to robotic surgery? , 2014, The Journal of surgical research.
[105] Khurshid A Guru,et al. Technical mentorship during robot‐assisted surgery: a cognitive analysis , 2016, BJU international.
[106] T. Haidegger,et al. Robot-Assisted Minimally Invasive Surgical Skill Assessment—Manual and Automated Platforms , 2019, Acta Polytechnica Hungarica.
[107] P. McCulloch,et al. The influence of non-technical performance on technical outcome in laparoscopic cholecystectomy , 2007, Surgical Endoscopy.
[108] M. Riley,et al. Performance, Stress, Workload, and Coping Profiles in 1st Year Medical Students' Interaction with the Endoscopic/Laparoscopic and Robot-Assisted Surgical Techniques , 2008 .
[109] M. Hallbeck,et al. Impact of single-incision laparoscopic cholecystectomy (SILC) versus conventional laparoscopic cholecystectomy (CLC) procedures on surgeon stress and workload: a randomized controlled trial , 2015, Surgical Endoscopy.
[110] T. Haidegger,et al. Surgery in space: the future of robotic telesurgery , 2011, Surgical Endoscopy.
[111] Joel S. Warm,et al. Perceived Mental Workload in an Endocopic Surgery Simulator , 2005 .
[112] R. Aggarwal,et al. Non-technical skills assessment in surgery. , 2011, Surgical oncology.
[113] Warren D. Smith,et al. An ergonomic comparison of robotic and laparoscopic technique: the influence of surgeon experience and task complexity. , 2003, The Journal of surgical research.
[114] Nabeel A. Arain,et al. Proficiency-based training for robotic surgery: construct validity, workload, and expert levels for nine inanimate exercises , 2012, Surgical Endoscopy.
[115] F. Shaffer,et al. An Overview of Heart Rate Variability Metrics and Norms , 2017, Front. Public Health.
[116] Chris Melhuish,et al. Estimation of Tool-Tissue Forces in Robot-Assisted Minimally Invasive Surgery Using Neural Networks , 2019, Front. Robot. AI.
[117] Manuela Perez,et al. Comparative analysis of the functionality of simulators of the da Vinci surgical robot , 2015, Surgical Endoscopy.
[118] Tian Zhou,et al. Eye-Tracking Metrics Predict Perceived Workload in Robotic Surgical Skills Training , 2019, Hum. Factors.
[119] Omaira Rodríguez,et al. Robotic surgery training: construct validity of Global Evaluative Assessment of Robotic Skills (GEARS) , 2016, Journal of Robotic Surgery.
[120] Imre J. Rudas,et al. Employing Process Models for Surgical Training , 2020, 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
[121] Khurshid A Guru,et al. Dynamic changes of brain functional states during surgical skill acquisition , 2018, PloS one.