Development of a 3D simulation which can provide better understanding of trainee's performance of the task using airway management training system WKA-1RII

Noh, Yohan; Ishii, Hiroyuki; Kikuta, Go; Ebihara, Kazuki; Tokumoto, Mitsuhiro; Okuyama, Isamu; Matsuoka, Yoh; Terunaga, Chihara; Takanishi, Atsuo; Hatake, Kazuyuki

doi:10.1109/robio.2011.6181702

Cited by 10 publications

(5 citation statements)

References 26 publications

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“…Studies on summary metrics of time and motion efficiency for technical skill assessment were excluded; these metrics are discussed elsewhere (43–48). Technical skills required for interventions such as central vein catheterization, biopsies, and airway management are also not considered here (49). Finally, we note that this review focuses on skill assessment, but does not consider the complementary problem of automatic detection of surgical activities or phases/workflow.…”

Section: Surgical Technical Skill and Competencymentioning

confidence: 99%

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Vedula

Ishii

Hager

2017

Annu. Rev. Biomed. Eng.

113

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Training skillful and competent surgeons is critical to ensure high quality of care and to minimize disparities in access to effective care. Traditional models to train surgeons are being challenged by rapid advances in technology, an intensified patient-safety culture, and a need for value-driven health systems. Simultaneously, technological developments are enabling capture and analysis of large amounts of complex surgical data. These developments are motivating a “surgical data science” approach to objective computer-aided technical skill evaluation (OCASE-T) for scalable, accurate assessment; individualized feedback; and automated coaching. We define the problem space for OCASE-T and summarize 45 publications representing recent research in this domain. We find that most studies on OCASE-T are simulation based; very few are in the operating room. The algorithms and validation methodologies used for OCASE-T are highly varied; there is no uniform consensus. Future research should emphasize competency assessment in the operating room, validation against patient outcomes, and effectiveness for surgical training.

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Section: Surgical Technical Skill and Competencymentioning

confidence: 99%

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Vedula

Ishii

Hager

2017

Annu. Rev. Biomed. Eng.

113

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“…In the simulators, various sensors are embedded in the robot to collect and feed back the operation information of trainees. They provide an objective assessment based on the quantitative information of the trainee's performance [17][18].…”

Section: Development Of Optic Nerve and Facial Nerve Models For Cranimentioning

confidence: 99%

Development of optic nerve and facial nerve models for cranial nerve examination training

Noh

Terunaga

Tokumoto

et al. 2012

2012 IEEE/SICE International Symposium on System Integration (SII)

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Cranial nerve system is the core part of human Nervous system. Different diseases on the pathway of the system correspond to different symptoms. According to the diagnosis of these symptoms the doctor can early diagnose out the related diseases on the nervous pathway. In order to master the adept skills, the neurologic medical staffs need to be trained on the diagnostic methods as well as learn abundant knowledge. As a traditional way of education, books and videos are used to help the students to comprehend the knowledge. However, compared with performing the examination on the real patient, this common way lacks vividness. Especially there are no active interactions. Recently more and more medical simulators are developed based on robotic technologies. These simulators bring innovative methods for medical education. Nevertheless, they just focus on the symptoms' reproduction, and do not have the abilities to show the relationships between sicknesses and symptoms. In this paper, we will propose a face robot (Fig. 1) for cranial nerves examination training to improve the training effectiveness. In this robot, we not only simulated various symptoms of optic tracking, eyeball movements, facial paralysis, but also made a cranial neurological model to simulate the different influences of the disorders on the nervous pathway. Finally, we performed a set of experiments to assess our proposed mechanism and control system. Three neurologists with over 30 years' experience were invited to show their opinions on the robot, and to discuss the results. All the results lead to the improvements for further researches.

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“…By making use of simulators, trainees can enhance their skills quickly [13].Several face robots have been developed up to now, such as WKA [14], [15],KOBIAN [16], Doldori [17], BARTHOC [18], and others. These robots mostly focus on the interaction between human and robot based on facial expression of emotions.…”

Section: Introductionmentioning

confidence: 99%

Development of a head robot with facial expression for training on neurological disorders

Chihara

Wang

Niibori

et al. 2013

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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Neurological examinations are among the most important clinical skills to identify disorders in the neurological system at early stages. Training on neurological examination for inexperienced doctors plays an important role in improving accuracy of diagnosis. Such training programs have been conducted until now using physical simulators or simulated patients (SPs). However, conventional simulators can simulate only facial features of patients and not their responses or motions. SP cannot simulate them either. We have therefore been developing a whole-body patient robot named WKP(Waseda Kyotokagaku Patient robot) for training on neurological examination. The main advantage of WKP over conventional simulators and SPs is its ability to simulate motions and responses of patients having disorders in their neurological systems. We then developed a head humanoid with facial expression for training on neurological disorders as a part of WKP. This humanoid is equipped with 21 degrees of freedom; it has 2 liquid crystal panels with lenses, and simulates facial movements with imitating the wrinkles and eyeball movements of patients with disorders in their cranial nerves. We then performed a set of experiments to validate the head humanoid. The main focus of this paper is on mechanical design and performance verification of the head humanoid. 

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Development of a 3D simulation which can provide better understanding of trainee's performance of the task using airway management training system WKA-1RII

Cited by 10 publications

References 26 publications

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Development of optic nerve and facial nerve models for cranial nerve examination training

Development of a head robot with facial expression for training on neurological disorders

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