Development of a novel flow sensor to acquire quantitative information on BVM operation during airway management training

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

doi:10.1109/robio.2011.6181297

Cited by 10 publications

(3 citation statements)

References 11 publications

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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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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)

Self Cite

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“…This series of robots could fully simulate the human motor nervous system to help the students master the examination skills and understand various diseases. At the same time, the laboratory also developed a training robot that can simulate the opening and closing process of the mandible of patients and provide human airway examination training [18,19]. Saverio Farsoni from the University of Ferrara designed an ultrasound training system to provide high-quality training scenarios to improve the effectiveness of ultrasound education [20].…”

Section: Introductionmentioning

confidence: 99%

Development of a novel massage platform for medical training

Sun

et al. 2020

THC

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BACKGROUND: Traditional Chinese medicine (TCM) massage has a better effect on treating infant diarrhea compared to medical treatment. The TCM doctors need to be trained to master professional massage techniques. Traditional Chinese massage training relies on the students' understanding ability, and cannot accurately record the students' operating information. This situation leads to insufficient clinical massage skills of the students. OBJECTIVE: This paper proposes a novel massage training platform to quantitatively perceive the massage techniques of students. METHODS: The paper proposed two types of flexible array sensors, which are arranged and placed into the bionic baby according to the position of the human acupoints. The massage techniques of the training object can be analyzed and evaluated during the massage process by studying the voltage from pressure sensors when the participants massage the bionic infant. RESULTS: A medical student was invited to conduct the massage training experiment, and the massage information included the operating strength, massage frequency and the massage direction, which were recorded and analyzed through the training platform. CONCLUSION: The platform can perceive the parameters related to the massage technique of students and can be used for medical training.

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“…Making use of the simulators, the trainees can enhance their skills quickly [10]. These training systems not only simulate the real-world conditions of the task, but also provide objective assessments of the trainee's performance, and feedback useful information to trainees [11]- [12]. However, most of them just focus on mimicries and do not show the pathological relationships between the symptoms and diseases.…”

Section: Introductionmentioning

confidence: 99%

Development of a human-like neurologic model to simulate the influences of diseases for neurologic examination training

Noh

Tokumoto

Terunaga

et al. 2013

2013 IEEE International Conference on Robotics and Automation

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Neurologic examination procedures require not only abundant knowledge but also prominent skills. During medical education and training, several methods will be put to use such as watching video, reading books, making use of the simulated patient (SP), and so on. These can help medical staffs, especially novices, to master the skills and accumulate experiences. To make up for the drawbacks of the above methods, such as lack of active interactions, limitation of multi-symptom reproductions, etc, the medical training simulators have been developed to improve training effectiveness. However, most of these simulators only mimic the symptoms. They have no the abilities to show the pathology of diseases. This limits the training effectiveness. In this paper, we propose an elbow robot named WKE-1(Waseda Kyotokagaku Elbow Robot No.1) for neurologic examination training as one part of the whole body patient robot named WKP (Waseda Kyotokagaku Patient). In this robot, we simulate various symptoms occurring during the examination of elbow force, biceps tendon reflex, involuntary action, and also make a physiological neurological model to simulate the pathology of the nervous system. Taking advantage of this robot, the trainee can get a systematic training on both the skills and knowledge. Finally, we take a set of experiments to verify our proposed mechanism and system. The experimental results lead to the consideration that the approach is worth following in further research.

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Development of a novel flow sensor to acquire quantitative information on BVM operation during airway management training

Cited by 10 publications

References 11 publications

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

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

Development of a novel massage platform for medical training

Development of a human-like neurologic model to simulate the influences of diseases for neurologic examination training

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