Updated on 2021/12/07

写真a

 
OYAMA Shintaro
 
Organization
Nagoya University Hospital Medical IT Center Designated assistant professor
Title
Designated assistant professor

Degree 1

  1. 博士(医学) ( 2017.3   名古屋大学 ) 

Research Areas 4

  1. Nanotechnology/Materials / Optical engineering and photon science

  2. Life Science / Orthopedics

  3. Life Science / Medical systems

  4. Informatics / Life, health and medical informatics

Research History 2

  1. Nagoya University   Information Technology Center Advanced Networking Division   Specially Appointed Assistant Professor

    2018.4

  2. Image Processing Team, RAP, RIKEN   Visiting Scientist

    2017.4

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    Country:Japan

Education 2

  1. Nagoya University   Graduate School, Division of Medical Sciences   General Medicine

    2013.4 - 2017.3

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    Country: Japan

  2. Nagoya University   Faculty of Medicine

    - 2007.3

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    Country: Japan

Professional Memberships 2

  1. JHS

  2. JOS

 

Papers 18

  1. Experimental pilot study for augmented reality-enhanced elbow arthroscopy. International journal

    Michiro Yamamoto, Shintaro Oyama, Syuto Otsuka, Yukimi Murakami, Hideo Yokota, Hitoshi Hirata

    Scientific reports   Vol. 11 ( 1 ) page: 4650 - 4650   2021.2

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    The purpose of this study was to develop and evaluate a novel elbow arthroscopy system with superimposed bone and nerve visualization using preoperative computed tomography (CT) and magnetic resonance imaging (MRI) data. We obtained bone and nerve segmentation data by CT and MRI, respectively, of the elbow of a healthy human volunteer and cadaveric Japanese monkey. A life size 3-dimensional (3D) model of human organs and frame was constructed using a stereo-lithographic 3D printer. Elbow arthroscopy was performed using the elbow of a cadaveric Japanese monkey. The augmented reality (AR) range of error during rotation of arthroscopy was examined at 20 mm scope-object distances. We successfully performed AR arthroscopy using the life-size 3D elbow model and the elbow of the cadaveric Japanese monkey by making anteromedial and posterior portals. The target registration error was 1.63 ± 0.49 mm (range 1-2.7 mm) with respect to the rotation angle of the lens cylinder from 40° to - 40°. We attained reasonable accuracy and demonstrated the operation of the designed system. Given the multiple applications of AR-enhanced arthroscopic visualization, it has the potential to be a next-generation technology for arthroscopy. This technique will contribute to the reduction of serious complications associated with elbow arthroscopy.

    DOI: 10.1038/s41598-021-84062-7

    Web of Science

    Scopus

    PubMed

  2. Development Of A Machine Learning Combination With Deep Learning For Diagnosing Idiopathic Pulmonary Fibrosis In Chronic Interstitial Lung Disease

    Taiki Furukawa, Shintaro Oyama, Hideo Yokota, Yasuhiro Kondoh, Yoshimune Shiratori, Yoshinori Hasegawa

    EUROPEAN RESPIRATORY JOURNAL   Vol. 56   2020.9

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:EUROPEAN RESPIRATORY SOC JOURNALS LTD  

    DOI: 10.1183/13993003.congress-2020.808

    Web of Science

  3. Biomechanical Reconstruction Using the Tacit Learning System: Intuitive Control of Prosthetic Hand Rotation. Reviewed International journal

    Shintaro Oyama, Shingo Shimoda, Fady S K Alnajjar, Katsuyuki Iwatsuki, Minoru Hoshiyama, Hirotaka Tanaka, Hitoshi Hirata

    Frontiers in neurorobotics   Vol. 10   page: 19 - 19   2016

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:FRONTIERS MEDIA SA  

    Background: For mechanically reconstructing human biomechanical function, intuitive proportional control, and robustness to unexpected situations are required. Particularly, creating a functional hand prosthesis is a typical challenge in the reconstruction of lost biomechanical function. Nevertheless, currently available control algorithms are in the development phase. The most advanced algorithms for controlling multifunctional prosthesis are machine learning and pattern recognition of myoelectric signals. Despite the increase in computational speed, these methods cannot avoid the requirement of user consciousness and classified separation errors. "Tacit Learning System" is a simple but novel adaptive control strategy that can self-adapt its posture to environment changes. We introduced the strategy in the prosthesis rotation control to achieve compensatory reduction, as well as evaluated the system and its effects on the user. Methods: We conducted a non-randomized study involving eight prosthesis users to perform a bar relocation task with/without Tacit Learning System support. Hand piece and body motions were recorded continuously with goniometers, videos, and a motion-capture system. Findings: Reduction in the participants' upper extremity rotatory compensation motion was monitored during the relocation task in all participants. The estimated profile of total body energy consumption improved in five out of six participants. Interpretation: Our system rapidly accomplished nearly natural motion without unexpected errors. The Tacit Learning System not only adapts human motions but also enhances the human ability to adapt to the system quickly, while the system amplifies compensation generated by the residual limb. The concept can be extended to various situations for reconstructing lost functions that can be compensated.

    DOI: 10.3389/fnbot.2016.00019

    Web of Science

    Scopus

    PubMed

  4. Author Correction: Experimental pilot study for augmented reality-enhanced elbow arthroscopy. International journal

    Michiro Yamamoto, Shintaro Oyama, Syuto Otsuka, Yukimi Murakami, Hideo Yokota, Hitoshi Hirata

    Scientific reports   Vol. 11 ( 1 ) page: 10708 - 10708   2021.5

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    <title>Abstract</title>The purpose of this study was to develop and evaluate a novel elbow arthroscopy system with superimposed bone and nerve visualization using preoperative computed tomography (CT) and magnetic resonance imaging (MRI) data. We obtained bone and nerve segmentation data by CT and MRI, respectively, of the elbow of a healthy human volunteer and cadaveric Japanese monkey. A life size 3-dimensional (3D) model of human organs and frame was constructed using a stereo-lithographic 3D printer. Elbow arthroscopy was performed using the elbow of a cadaveric Japanese monkey. The augmented reality (AR) range of error during rotation of arthroscopy was examined at 20 mm scope–object distances. We successfully performed AR arthroscopy using the life-size 3D elbow model and the elbow of the cadaveric Japanese monkey by making anteromedial and posterior portals. The target registration error was 1.63 ± 0.49 mm (range 1–2.7 mm) with respect to the rotation angle of the lens cylinder from 40° to − 40°. We attained reasonable accuracy and demonstrated the operation of the designed system. Given the multiple applications of AR-enhanced arthroscopic visualization, it has the potential to be a next-generation technology for arthroscopy. This technique will contribute to the reduction of serious complications associated with elbow arthroscopy.

    DOI: 10.1038/s41598-021-90073-1

    Scopus

    PubMed

    Other Link: http://www.nature.com/articles/s41598-021-84062-7

  5. Development of a Deep Learning Model for Accurate Predicting Interstitial Lung Disease Prognosis

    Furukawa T., Oyama S., Kondoh Y., Baba T., Ogura T., Hasegawa Y., Shiratori Y.

    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE   Vol. 201   2020

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Web of Science

  6. Electroencephalographic Functional Connectivity With the Tacit Learning System Prosthetic Hand: A Case Series Using Motor Imagery. Reviewed International journal

    Katsuyuki Iwatsuki, Minoru Hoshiyama, Shintaro Oyama, Hidemasa Yoneda, Shingo Shimoda, Hitoshi Hirata

    Frontiers in synaptic neuroscience   Vol. 12   page: 7 - 7   2020

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    Language:English   Publishing type:Research paper (scientific journal)  

    We previously created a prosthetic hand with a tacit learning system (TLS) that automatically supports the control of forearm pronosupination. This myoelectric prosthetic hand enables sensory feedback and flexible motor output, which allows users to move efficiently with minimal burden. In this study, we investigated whether electroencephalography can be used to analyze the influence of the auxiliary function of the TLS on brain function. Three male participants who had sustained below-elbow amputations and were myoelectric prosthesis users performed a series of physical movement trials with the TLS inactivated and activated. Trials were video recorded and a sequence of videos was prepared to represent each individual's own use while the system was inactivated and activated. In a subsequent motor imagery phase during which electroencephalography (EEG) signals were collected, each participant was asked to watch both videos of themself while actively imagining the physical movement depicted. Differences in mean cortical current and amplitude envelope correlation (AEC) values between supplementary motor areas (SMA) and each vertex were calculated. For all participants, there were differences in the mean cortical current generated by the motor imagery tasks when the TLS inactivated and activated conditions were compared. The AEC values were higher during the movement imagery task with TLS activation, although their distribution on the cortex varied between the three individuals. In both S1 and other brain areas, AEC values increased in conditions with the TLS activated. Evidence from this case series indicates that, in addition to motor control, TLS may change sensory stimulus recognition.

    DOI: 10.3389/fnsyn.2020.00007

    Web of Science

    Scopus

    PubMed

  7. Evaluation of the brain function for the myoelectric hand prosthesis with tacit learning system

    Iwatsuki K.

    Biosystems and Biorobotics   Vol. 21   page: 248-251   2019

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/978-3-030-01845-0_49

    Scopus

  8. Magnetoencephalographic evaluation for the myoelectric hand prosthesis with tacit learning system. Reviewed International journal

    Katsuyuki Iwatsuki, Minoru Hoshiyama, Shintaro Oyama, Shingo Shimoda, Hitoshi Hirata

    NeuroRehabilitation   Vol. 44 ( 1 ) page: 19 - 23   2019

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    BACKGROUND: The effect of tacit learning systems (TLSs) on brain plasticity are as of yet unknown. We developed a myoelectric hand prosthesis equipped with a TLS to auto-regulate forearm rotation in response to upper extremity movement patterns. OBJECTIVE: To evaluate the effects of tacit learning on the central nervous system during a prosthesis control exercise. METHODS: The experienced prosthetic user performed a series of simple mechanical tasks with the TLS inactivated (the baseline condition) and then with it activated (the enhanced, experimental condition). The process was video recorded. Subsequently, the participant viewed video recordings of each condition (baseline and experimental) during magnetoencephalography and electroencephalography recordings. RESULTS: Stronger connections between the motor area and other cortical areas were observed, as indicated by a significant increase in coherence values. CONCLUSIONS: Integration and interoperability may underlie tacit learning and promote motor function-related adaptive neuroplasticity.

    DOI: 10.3233/NRE-182514

    Web of Science

    Scopus

    PubMed

  9. Development of a Machine Learning Combination with Deep Learning for Diagnosing Idiopathic Pulmonary Fibrosis in Interstitial Lung Disease

    Furukawa T., Oyama S., Yokota H., Kondoh Y., Hasegawa Y.

    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE   Vol. 199   2019

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Web of Science

  10. Forearm-hand crush injury reconstructed by free DIEP flap

    MITSUYA So

    The Central Japan Journal of Orthopaedic Surgery & Traumatology   Vol. 58 ( 1 ) page: 139-140   2015

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.11359/chubu.2015.139

    CiNii Article

  11. Surgical treatment for the scapula neck fracture with a humeral fracture ; A case report

    KUMAGAI Hiroaki

      Vol. 55 ( 1 ) page: 143-144   2012.1

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    Language:English   Publishing type:Research paper (scientific journal)  

    CiNii Article

  12. Surgical treatment for the scapula neck fracture with a humeral fracture; A case report

    KUMAGAI Hiroaki

    The Central Japan Journal of Orthopaedic Surgery & Traumatology   Vol. 55 ( 1 ) page: 143-144   2012

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.11359/chubu.2012.143

    CiNii Article

  13. Three cases of the atypical diaphyseal femoral fracture in elderly

    HIBINO Takuya

    The Central Japan Journal of Orthopaedic Surgery & Traumatology   Vol. 55 ( 6 ) page: 1337-1338   2012

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.11359/chubu.2012.1337

    CiNii Article

  14. 橈骨遠位端骨折に対する AcuMed 社製 AcuLoc Plate^【○!R】 と Synthes 社製 Distal Radius Plate 2.4 System Extra-Articular Plate の比較

    大山 慎太郎, 渡邉 健太郎, 水野 直樹, 矢崎 尚哉, 熊谷 寛明, 米田 英正

    骨折   Vol. 33 ( 2 ) page: 285-288   2011.5

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    Language:English   Publishing type:Research paper (scientific journal)  

    CiNii Article

  15. Clinical investigation of the prognosis of elderly patients with severe multiple trauma

    HIBINO Takuya

      Vol. 54 ( 3 ) page: 457-458   2011.5

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    Language:English   Publishing type:Research paper (scientific journal)  

    CiNii Article

  16. Obturator internus muscle pyomyositis in a child ; a case report

    OSAWA Yusuke

      Vol. 54 ( 2 ) page: 269-270   2011.3

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    Language:English   Publishing type:Research paper (scientific journal)  

    CiNii Article

  17. Obturator internus muscle pyomyositis in a child; a case report

    OSAWA Yusuke

    The Central Japan Journal of Orthopaedic Surgery & Traumatology   Vol. 54 ( 2 ) page: 269-270   2011

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.11359/chubu.2011.269

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  18. Clinical investigation of the prognosis of elderly patients with severe multiple trauma

    HIBINO Takuya

    The Central Japan Journal of Orthopaedic Surgery & Traumatology   Vol. 54 ( 3 ) page: 457-458   2011

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.11359/chubu.2011.457

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Books 3

  1. 3Dプリンタ用 新規材料開発

    大山 慎太郎, 山澤 建二, 渡邉 政樹, 辻村 有紀, 横田 秀夫( Role: Joint author ,  3Dプリンタ向け新規人工骨材の開発 -結合剤噴射法(Binder Jetting)による 人工骨造形を行うαTCP材料-)

    NTS出版  2021.1 

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    Language:Japanese

  2. 3Dプリンタ用材料開発と造形物の高精度化

    渡邉政樹, 大山慎太郎, 辻村有紀, 山澤建二, 横田秀夫( Role: Joint author ,  第11章 各産業分野における3Dプリンタの活用事例 インクジェット式3Dプリンターによる骨置換型人工骨の成形)

    技術情報協会  2020.5  ( ISBN:9784861047930

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    Total pages:469p   Language:Japanese

    CiNii Books

  3. Evaluation of the brain function for the myoelectric hand prosthesis with tacit learning system

    Iwatsuki K., Oyama S., Hoshiyama M., Shimoda S., Hirata H.( Role: Sole author)

    Biosystems and Biorobotics  2018  ( ISBN:978-3-030-01844-3

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    Language:Japanese

    We developed a myoelectric hand prosthesis equipped with the tacit learning system (TLS) to auto-regulate forearm rotation in response to upper extremity movement patterns. We evaluated the tacit learning effects on the central nervous system during a prosthesis control exercise. The experienced prosthetic user performed a series of simple mechanical tasks with the system inactivated (the baseline, normal condition) and then with it activated (the enhanced, experimental condition). The process was video recorded. Video 1 documents the ordinary TLS-inactive condition while Video 2 documents the TLS-active condition. Subsequently, the participant viewed each video under experimental conditions during magnetoencephalography and electroencephalography recording. The connections between the motor area and the other cortical areas were observed with a significant increase in the coherence value. Results suggest integration and interoperability as the process undergirding tacit learning promotes motor function related adaptive neuroplasticity.

    DOI: 10.1007/978-3-030-01845-0_49

    Scopus

MISC 4

  1. Augmented Realityを活用した肘関節鏡の開発

    山本 美知郎, 大山 慎太郎, 横田 秀夫, 平田 仁

    日本肘関節学会雑誌   Vol. 25 ( 1 ) page: S125 - S125   2018.1

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    Language:Japanese   Publisher:日本肘関節学会  

  2. Bashir法を利用した皮弁採取部の縮小・閉鎖法 Kirschner wireを使用した皮膚牽引による創閉鎖法

    三矢 聡, 宮津 優, 羽賀 貴博, 仲野 隆彦, 山内 一平, 大山 慎太郎

    日本マイクロサージャリー学会学術集会プログラム・抄録集   Vol. 40周年記念   page: 158 - 158   2013.9

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    Language:Japanese   Publisher:(一社)日本マイクロサージャリー学会  

  3. LCP cable systemによる大腿骨インプラント周囲骨折の治療経験

    呉 愛玲, 渡邉 健太郎, 水野 直樹, 矢島 弘毅, 奥井 伸幸, 佐々木 宏, 熊谷 寛明, 佐々木 梨恵, 日比野 卓哉, 竹内 智洋, 徳武 克浩, 村山 敦彦, 加藤 友規, 米田 英正, 大山 慎太郎

    東海整形外科外傷研究会誌   Vol. 26   page: 100 - 103   2013.9

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    Language:Japanese   Publisher:東海整形外科外傷研究会  

    大腿骨インプラント周囲骨折に対しLCP cable systemによる観血的骨接合術を行った5例の治療成績について検討した。男性1例、女性4例で、平均年齢は71.2歳、術後経過観察期間は平均14ヵ月であった。使用プレートはLCP curved broadプレートが2例、LCP Distal Femurプレート(LCP-DF)が3例、LCP broadプレートが1例であった。その結果、4例は良好な骨癒合が得られた。一方、LCP-DFを用いた1例は免荷が守れずワイヤーの断裂によりプレートが脱転し、偽関節となった。

  4. LIPUSを併用した四肢新鮮骨折の治療経験

    竹内 智洋, 渡邉 健太郎, 水野 直樹, 矢崎 尚哉, 佐々木 宏, 熊谷 寛明, 米田 英正, 大山 慎太郎, 服部 順和

    骨折   Vol. 32 ( Suppl. ) page: S247 - S247   2010.7

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    Language:Japanese   Publisher:(一社)日本骨折治療学会  

KAKENHI (Grants-in-Aid for Scientific Research) 1

  1. Development of next-generation arthroscopy system using Augmented Reality (AR)

    Grant number:19K09547  2019.4 - 2022.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

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    Authorship:Coinvestigator(s) 

 

Social Contribution 1

  1. 奥三河メディカルバレー

    Role(s):Lecturer, Planner

    2018.10

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    Audience: Researchesrs, Company, Governmental agency

    Type:Seminar, workshop