2023/02/06 更新

写真a

スガミヤ ユリナ
菅宮 友莉奈
Scopus 論文情報  
論文数: 0  Citation: 0  h-index: 1

Citation Countは当該年に発表した論文の被引用数

所属
理工学術院 創造理工学部
職名
講師(任期付)

学歴

  • 2017年04月
    -
    2021年03月

    早稲田大学   先進理工学研究科   生命理工学専攻  

    博士後期課程

  • 2017年06月
    -
    2020年07月

    東京女子医科大学   医学研究科   特別聴講生  

  • 2013年04月
    -
    2017年03月

    早稲田大学   先進理工学研究科   生命理工学専攻  

    博士前期課程

  • 2009年04月
    -
    2013年03月

    早稲田大学   創造理工学部   総合機械工学科  

経歴

  • 2022年04月
    -
    継続中

    早稲田大学   創造理工学部   講師

  • 2017年04月
    -
    継続中

    東京デザインテクノロジーセンター専門学校   ロボット専攻,ゲーム専攻,AI&IT専攻   非常勤講師

  • 2021年04月
    -
    2022年03月

    早稲田大学   創造理工学部   助教

 

研究キーワード

  • 医用ロボット

  • 医学教育

論文

  • Development of Neonatal Airway Management Simulator for Evaluation of Tracheal Intubation.

    Y Takebe, M Shiina, Y Sugamiya, Y Nakae, T Katayama, T Otani, H Ishii, A Takanishi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference   2021   7535 - 7538  2021年11月  [国際誌]

     概要を見る

    The long-term goal of this study is a training system that can simulate medical cases and advise physicians based on quantitative evaluation of neonatal resuscitation. In this paper, we designed and manufactured a neonatal airway management simulator for quantitative evaluation of tracheal intubation. This robotic simulator is equipped with 25 sensors of 6 types, which detect motions that lead to complications, inside the manikin replicated a neonate. A performance experiment of the developed sensor and an evaluation experiment with physicians were conducted. We observed that an erroneous operation in the laryngoscopy can be detected by the sensors in our simulator.

    DOI PubMed

    Scopus

  • Development of robot simulator for interactive training of neonatal cardio-pulmonary resuscitation

    Y. Takebe, K. Imamura, Y. Sugamiya, Y. Nakae, T. Katayama, T. Otani, H. Ishii, A. Takanishi

    2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021     1230 - 1235  2021年08月

     概要を見る

    In recent years, awareness of improving the quality of medical care has increased. We focused on neonatal resuscitation, which is difficult to train clinically, and our long-term goal is a neonatal resuscitation training system that can simulate cases and can feedback interactively based on quantitative evaluation of the procedures. In this study, we developed the neonatal simulator that has a respiratory movement simulating mechanism and a chest compression measurement mechanism. Through an interview with neonatologists, the fidelity of respiratory movements and the possibility of evaluating chest compression with the developed simulator were assessed.

    DOI

    Scopus

  • Construction of Automatic Scoring System to Support Objective Evaluation of Clinical Skills in Medical Education

    Yurina Sugamiya, Takuya Otani, Ryu Nakadate, Atsuo Takanishi

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS     4177 - 4181  2019年07月

     概要を見る

    In this study, we focused on the automatic scoring of medical clinical abilities. The objective clinical ability tests that all undergraduate students take before starting clinical practice were considered. As these tests evaluate practical skills, there is a problem that the learning method is poor compared to the examination of other lectures. Therefore, in this study, we recorded the voice of a student examining a simulated patient using a microphone. We constructed a system comprising a speech recognition module and a scoring system that performed automatic scoring by checking against a prepared example answer. This system was evaluated by medical doctors.

    DOI PubMed

    Scopus

    1
    被引用数
    (Scopus)
  • Development of state transition model and speech recognition module for training of neurological examination

    Y. Sugamiya, K. Matsunaga, C. Wang, S. Tokunaga, S. Kawasaki, H. Ishii, Y. Nakae, T. Katayama, A. Takanishi

    2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014     1124 - 1129  2014年04月

     概要を見る

    This study aims to develop a state transition model and speech recognition module for application to a whole-body patient simulator for scenario based training (SBT) of neurological examination procedures. These procedures are very important for the early identification of neurological system disorders. In neurological examinations, the doctor selects procedures by situation of patients, interacts with the patient and performs a series of medical procedures to judge the site of nerve disorders and lesions. SBT is one type of training that doctor performs to be based on scenario. Scenario is patient situation and examination procedure. SBT is used for the training of such examinations. SBT is often performed using simulated patients (SPs); however, the number of SPs is not sufficient and SPs cannot adequately reproduce diseases. Therefore, we integrated a state transition model with a commercial speech recognition software and developed a dialogue system for SBT. First, we customized the grammatical rules and the different words that the software can recognize. By doing so, the recognition rate improved to about 90%. Second, we developed a probability model for the state transition model. In neurological examinations, patient pause is limited and an order of procedures is generally decided. We developed a state transition model including probability model with the customized speech recognition module.

    DOI

    Scopus

  • Development of a human-like motor nerve model to simulate the diseases effects on muscle tension for neurologic examination training

    Chunbao Wang, Lihong Duan, Qing Shi, Ai Nibori, Yusaku Miura, Yurina Sugamiya, Weisheng Kong, Di Zhang, Hiroyuki Ishii, Salvatore Sessa, Massimiliano Zecca, Atsuo Takanishi, Zhengzhi Wu, Jian Qin, Weiguang Li

    2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014     713 - 718  2014年04月

     概要を見る

    Neurologic examination takes an important role in the physical examination. By now, several methods have been carried out for medical training which bring the benefits for trainee to master the skills and accumulate experiences. However, because of the limits of these methods, the training effectiveness is limited. With the developments of technology, more and more simulators have been launched to improve medical training effectiveness. However, most of these simulators only focus on mimicking the symptoms, not simulating the pathology of diseases. In this paper, we propose an improved motor nerve model which is used in the elbow robot named WKE-2(Waseda Kyotokagaku Elbow Robot No.2). This robot is designed to simulate the disorders of motor nerves to give the trainee a full training on the elbow examination. The motor nerve model mimics the real motor nerve structure. And the functions of each part are designed from analysis of the real functions of each organ. In this robot, the effects of motor nerve system, and various symptoms related to the examination of elbow force, biceps tendon reflex, involuntary action are simulated. Making use of this robot, a systematic training on the skills as well as the understanding of knowledge is provided. Finally, several experiments are performed to verify our proposed system. The experimental results lead to the consideration that the approach is worth following in further research.

    DOI

    Scopus

    3
    被引用数
    (Scopus)
  • Development of a nerve model of eyeball motion nerves to simulate the disorders of eyeball movements for neurologic examination training

    Lin Wang, Chunbao Wang, Lihong Duan, Ai Nibori, Yusaku Miura, Yurina Sugamiya, Weisheng Kong, Qing Shi, Hiroyuki Ishii, Salvatore Sessa, Massimiliano Zecca, Atsuo Takanishi, Zhengzhi Wu, Jian Qin, Weiguang Li

    2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014     707 - 712  2014年04月

     概要を見る

    Cranial nerve examination takes an important role in the physical examination. All the medical staffs need to be trained to master the skills for examination. By now, several training methods have been carried out for medical training including training with the simulated patient (SP). However, considering the characters of eyeball, the involuntary actions cannot be simulated by Sp. With the developments of technology, more and more robot heads have been launched. However, these simulators only focus on mimicking the healthy human abilities, not simulating disorders for medical training. In this paper, we propose a novel eyeball motion nerve model which is used in the head robot named WKH-2(Waseda Kyotokagaku Head Robot No.2). This robot is designed to simulate the disorders of eyeball movements to give the trainee a full training on cranial examination. The motor nerve model is carried out from mimicking the real eyeball nerve structure. And the functions of each part are designed from analysis of the real functions of each organ. In this robot, the effects of eyeball motion nerve system, and various symptoms are simulated. Making use of this robot, a systematic training on the skills as well as the understanding of medical knowledge is provided. Finally, several experiments are carried out to verify our proposed system. The experimental results show that the approach is worth following in further research.

    DOI

    Scopus

▼全件表示

Misc

  • 新生児蘇生法トレーニング・システムの開発-陥没呼吸動作の再現が可能な新生児シミュレータの設計・製作-

    小川駿也, 菅宮友莉奈, 武部康隆, 今村健人, 川崎智佑喜, 片山保, 中江悠介, 高西淳夫, 石井裕之

    日本ロボット学会学術講演会予稿集(CD-ROM)   37th  2019年

    J-GLOBAL

  • 状態遷移モデルと患者CGを用いた臨床技能訓練システム

    菅宮友莉奈, 大谷拓也, 中楯龍, 大久保由美子, 山内かづ代, 高西淳夫, 高西淳夫

    日本ロボット学会学術講演会予稿集(CD-ROM)   37th  2019年

    J-GLOBAL

  • 医療手技習得の定量的評価のための患者ロボットとRGB-Dカメラを用いた動作計測手法の検討

    武部康隆, 菅宮友莉奈, 今村健人, 川崎智佑喜, 小川駿也, 片山保, 中江悠介, 高西淳夫, 石井裕之

    日本ロボット学会学術講演会予稿集(CD-ROM)   37th  2019年

    J-GLOBAL

  • 気管挿管における手技進行の認識のためのニューラルネットを用いた画像処理システムの開発

    桂亮平, 菅宮友莉奈, 武部康隆, 渋沢良太, 片山保, 高西淳夫, 石井裕之

    日本ロボット学会学術講演会予稿集(CD-ROM)   36th  2018年

    J-GLOBAL

  • 新生児蘇生法トレーニング・システムの開発-新生児に近い外見と多数のセンサを有する気道管理シミュレータの設計・製作-

    武部康隆, 椎名恵, 菅宮友莉奈, 中江悠介, 片山保, 石井裕之, 高西淳夫

    日本ロボット学会学術講演会予稿集(CD-ROM)   35th  2017年

    J-GLOBAL

  • 医学教育における臨床能力の客観的評価をサポートするための自動採点システムの構築

    菅宮友莉奈, 中楯龍, 大谷拓也, 高西淳夫, 高西淳夫

    日本ロボット学会学術講演会予稿集(CD-ROM)   35th  2017年

    J-GLOBAL

  • 全身型患者シミュレータに関する研究-空気圧を利用した表情皺形成機構を有する頭部診察シミュレータの開発-

    椎名恵, 菅宮友莉奈, 徳永慎也, 石井裕之, 山根宗昭, 中江悠介, 片山保, 高西淳夫, 高西淳夫

    日本ロボット学会学術講演会予稿集(CD-ROM)   33rd  2015年

    J-GLOBAL

  • 全身型患者シミュレータのための対話システムの構築

    菅宮友莉奈, 松永健太朗, 王春宝, 徳永慎也, 川嵜慎太郎, 石井裕之, 庄司聡, 中江悠介, 松岡紀之, 高西淳夫, 高西淳夫

    日本ロボット学会学術講演会予稿集(CD-ROM)   32nd  2014年

    J-GLOBAL

  • 超音波診断装置による肝臓領域の自動走査制御系構築のための肋間認識と肋間走査

    菅宮友莉奈, 中楯龍, 石井裕之, アマル サフワン, 斎藤明子, 菅原基晃, 仁木清美, 高西淳夫, 高西淳夫

    日本ロボット学会学術講演会予稿集(CD-ROM)   31st  2013年

    J-GLOBAL

▼全件表示

受賞

  • 優秀研究・技術賞

    2022年09月   日本ロボット学会   新生児蘇生法トレーニング・システムの開発―筋緊張変化を再現可能な新生児シミュレータの設計・製作―  

共同研究・競争的資金等の研究課題

  • 言動の自動計測による問診の自習システムの開発

    日本学術振興会  科学研究費助成事業 若手研究

    研究期間:

    2022年04月
    -
    2024年03月
     

    菅宮 友莉奈

  • 立石科学技術振興財団 研究助成(C)

    立石科学技術振興財団  研究助成(C)

    研究期間:

    2019年04月
    -
    2021年03月
     

講演・口頭発表等

  • Intercostal localization for automated ultrasound diagnosis system of abdominal area

    Y. Sugamiya, S. Ammar, R. Nakadate, H. Ishii, A. Saito, M. Sugawara, K. Niki, A. Takanishi

    Computer Assisted Radiology 28th International Congress and Exhibition (CARS 2014)  

    発表年月: 2014年06月

学内研究費(特定課題)

  • 臨床技能のトレーニングサポートシステムについての研究

    2021年  

     概要を見る

     臨床技能のうち超音波診断についてトレーニングをサポートするシステムの開発を行った.3次元的な構造を持つ人間の臓器断面を推定することが,初学者には困難であることから,初学者向けのトレーニングツールの開発を行った.プローブ型のコントローラを製作し,内蔵したセンサでプローブの位置と姿勢を取得し,それをPC画面上のCGに反映をさせる一連のシステムを開発した.また,開発した実機の性能を数値によって評価を行い,さらに,複数の医師によって使用感を評価する実験を行った.その結果,十分な位置精度が得られたが,姿勢については不十分であること,さらに,医師らからは高評価が得られた.

 

現在担当している科目

▼全件表示

 

社会貢献活動

  • 音声認識を用いた臨床手技の自動採点システム

    Symposium for Women Researchers 戸山高校 研究交流会 

    2018年11月
    -
     

メディア報道

  • 女性研究者に聞く

    新聞・雑誌

    執筆者: 本人以外  

    朝日新聞   早稲田理工 by AERA  

    P.43  

    2019年03月