Higa Hiroki




Researcher Number(JSPS Kakenhi)


Current Affiliation Organization 【 display / non-display

  • Concurrently   University of the Ryukyus   Graduate School of Engineering and Science   Electrical and Electronics Engineering   Professor  

  • Concurrently   University of the Ryukyus   Graduate School of Engineering and Science   Interdisciplinary Intelligent Systems Engineering   Professor  

  • Duty   University of the Ryukyus   Faculty of Engineering   School of Engineering_Electrical and Systems Engineering Program   Professor  

  • Concurrently   University of the Ryukyus   Graduate School of Engineering and Science   Electrical Energy and Systems Control Engineering   Professor  

Academic degree 【 display / non-display

  • Tohoku University -  Doctor of Engineering

External Career 【 display / non-display

  • 2006.04

    University of the Ryukyus, Faculty of Engineering, Associate Professor  

Research Interests 【 display / non-display

  • Biomedical Engineering

Research Areas 【 display / non-display

  • Life Science / Medical systems

  • Life Science / Rehabilitation science

Research Theme 【 display / non-display

  • Assistive Robot for People with Physical Disabilities of the Extremities

Published Papers 【 display / non-display

  • Development of a Virtual Reality System that Generates Prism Adaptation for Multiple Motor Units

    Takashi Ishida, Hiroki Higa

    IEEJ Transactions on Electronics, Information and Systems ( IEEJ )  143 ( 12 ) 1170 - 1179   2023.12 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

     View Summary

    Conventionally, the adaptive body area for prism adaptation (PA) has been limited to the visible range of prism glasses, especially the unilateral upper limbs. In this study, we developed a virtual reality system that extends PA's adaptive body range. This system sets the visible area of the target and introduces a symbolic representation of the body position to realize a head position adaptation task. As a result, the head position adaptation task generates PA not to individual body parts but to a collection of multiple motor units, such as the upper trunk. Furthermore, experimental results in healthy subjects showed that the head position adaptation task could generate PA in the entire upper trunk and displace it to the left anteriorly. Therefore, the head position adaptation task is expected to be effective for the postural correction of USN patients with upper trunk deviated to the right posteriorly. Moreover, the developed system has potential applications in a wide range of fields, such as detecting cerebellar disorders.

  • Educational effectiveness of cardiopulmonary resuscitation using the Virtual Reality first aid training system with nursing students

    Mariko Oshiro, Tomoharu Genka, Hiroki Higa, Gen Ouchi, Sayuri Jahana

    proc. of 2023 AAPINA conference     2023.08 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

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    Nursing students have been trained in cardiopulmonary resuscitation (CPR); however, there is no objective evaluation index, and they lack confidence in their CPR skills. To examine the educational significance of simulation education on CPR using the VR emergency training system, seven students performed CPR on two occasions. In the group discussion, students were able to visualize the technique, such as being able to grasp the status of chest compressions over time. The use of the VR emergency training system for the actual practice of CPR was useful for visualizing the technique, enabling students to learn in an enjoyable and proactive manner, and for reflecting on knowledge and skills. In the future, nursing students should collaborate and utilize the VR emergency life-saving training system in the classroom.

  • Automated Diagnosis of Diabetic Retinopathy Using Deep Learning: On the Search of Segmented Retinal Blood Vessel Images for Better Performance

    M. B. Khan, M. Ahmad, S. B. Yaakob, R. Shahrior, M. A. Rashid and H. Higa

    Bioengineering ( MDPI )  10 ( 4 )   2023.04 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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    Diabetic retinopathy is one of the most significant retinal diseases that can lead to blindness. As a result, it is critical to receive a prompt diagnosis of the disease. Manual screening can result in misdiagnosis due to human error and limited human capability. In such cases, using a deep learning-based automated diagnosis of the disease could aid in early detection and treatment. In deep learning-based analysis, the original and segmented blood vessels are typically used for diagnosis. However, it is still unclear which approach is superior. In this study, a comparison of two deep learning approaches (Inception v3 and DenseNet-121) was performed on two different datasets of colored images and segmented images. The study’s findings revealed that the accuracy for original images on both Inception v3 and DenseNet-121 equaled 0.8 or higher, whereas the segmented retinal blood vessels under both approaches provided an accuracy of just greater than 0.6, demonstrating that the segmented vessels do not add much utility to the deep learning-based analysis. The study's findings show that the original-colored images are more significant in diagnosing retinopathy than the extracted retinal blood vessels.

  • Development of an Information Provision System for Attention Disorder Symptoms

    Takashi Ishida, Tatsuya Shinzato, Hiroki Higa

    IEEJ Transactions on Electronics, Information and Systems   143 ( 4 ) 488 - 497   2023.04 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

     View Summary

    Spatial attention disorder, also known as unilateral spatial neglect (USN), and non-spatial attention disorder often co-occur after stroke. In previous studies, the development of an electronic USN test system has made it possible to record detailed test data that are impossible with paper-based testing. However, the method of providing information on the test data has not been investigated, and the USN test system is exclusively used for research purposes. Therefore, we developed a system to provide information on the models of attention disorders in different formats, such as numerical, graphical, and superimposed images. The developed information provision system can provide information according to the characteristics of the users. Evaluation experiment was confirmed that the system is effective to change the information provision format according to the subject.

  • Expansion of Body Adaptation Areas for Prism Adaptation Therapy Using Virtual Reality: Head Orientation Experiments on Normal Subjects

    Takashi Ishida, Hiroki Higa

    IEEJ Trans ( 電気学会 )  18   65 - 71   2023 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

     View Summary

    We developed a system to conduct posture-measurable virtual prism adaptation therapy using an inside-out tracking stand-alone virtual reality system. This system enables the construction of a unilateral spatial neglect (USN) treatment room that is closed off from external stimuli from all surroundings in a hospital or home. Furthermore, it expands the prism adaptation body adaptive site, which was previously limited to the hand, to include the whole body using a symbolic body. This expansion allows for utilization of the new prism adaptation therapy in which giving postural feedback and the head is spontaneously turned to the neglected side. This prism adaptation is expected to improve the posture of patients with USN and turn the field of vision itself toward the neglected space.

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Other Papers 【 display / non-display

  • Dringking Water Task by Robotic Arm Using Depth Camera, 2nd Report



  • An Online Healthcare Training System, 2nd Report



  • Development of A Medical Device Training Simulator, 2nd Report



  • Development of A Medical Device Training Simulator



  • Drinking Water Task Using a Robotic Arm



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Presentations 【 display / non-display

  • A Data Conversion for Medical Training System

    Mohamed Atef Mahmoud Mostafa Khalil, Ryosuke Umeda, Yuji Uehara, and Hiroki Higa

    電気学会九州支部沖縄支所講演会論文集  2016.12  -  2016.12 

  • Improvement of Implantable Functional Electrical Stimulation (FES) System

    Mayumi Nishiyama and Hiroki Higa

    電気学会九州支部沖縄支所講演会論文集  2012.12  -  2012.12 

SDGs 【 display / non-display

  • 生体医工学

Social Activity 【 display / non-display

  • 2020.12

  • 2020.03

  • 2020.02

  • 2019.12

  • 2019.11

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Media Coverage 【 display / non-display

  • はえばる福祉まつり出展

    南風原町  南風原町文化センター  2018.11

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  • プチ・オープン・ラボ

    琉球大学工学部  2013.8

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  • はえばる福祉まつり出展

    南風原町  南風原町文化センター  2012.11

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  • 沖縄産学官イノベーションフォーラムでのパネル展示

    沖縄県工業技術センター  2009.11

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  • 親子サイエンスツアー

    オリオンビール  2007.10

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Academic Activities 【 display / non-display

  • ( 県立武道館アリーナ棟 )


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  • ( 国立病院機構沖縄病院 )


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  • ( 県立武道館アリーナ棟 )


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