Japanese

Biomedical System Control Engineering

Using information, systems and control engineering and advanced information technology, students will engage in research related to development of biosystem modeling, state estimation and simulation techniques along with development of technology to optimally control artificial organs, rehabilitation equipment, healthcare equipment and other medical systems as well as technology to achieve high-performance human interfaces.

Cyber Medical System

Cyber-physical Systems for Well-being Society

  • Professor Norihiro Sugita Professor
    Norihiro Sugita

We are conducting a study on the analysis, evaluation, and modeling of biological systems using methods that integrate biological sensing, artificial intelligence, and system control. We aim to propose theories about cyber–physical systems in medicine, health, and welfare and develop advanced techniques for social implementation.

  1. Cyber health management systems
  2. Contactless human sensing
  3. Virtual reality systems for medicine, health, and welfare
  4. Assessment of digital content using biological signals
Laboratory site
  • Mirror type device for non-contact measurement of biological signal

    Mirror type device for non-contact measurement of biological signal

  • Virtual cycling wheelchair

    Virtual cycling wheelchair

Intelligent Biomedical Systems Engineering

Intelligent Computer-aided Diagnosis and Therapy based on Biomedical Signal Analysis and Control

  • Professor Noriyasu Homma Professor
    Noriyasu Homma

To derive clinically useful information and findings from biomedical signal and images, we aim at studying and developing new methods and theories of computational intelligence including AI and machine learning technologies and implementing them as intelligent medical systems to advance the clinical diagnosis and treatment further. For example, we are developing intelligent systems that automatically detect lesions latently captured in the medical diagnosis images and classify them based on more clear explanations associated with medical evidence and practices in specialists’ diagnoses. The mathematical and computational methods to accurately track and predict the time-varying location and shape of tumors obscurely captured in X-ray images is another research topic for achieving more accurate radiation therapy. Also, we are actively advancing research collaboration with companies in the field of medical systems and making contributions to our society by releasing our developed technologies.

  1. Development of intelligent computer-aided medical image diagnosis systems
  2. Development of intelligent image-guided control systems for adaptive targeting radiotherapy
  3. Study on improvement of superficiality of deep learning for reliable AI
  4. Study on digital social infrastructure for healthy life
Laboratory site
Movie
Explainable deep learning-based computer-aided system for H. Pylori infection diagnosis using gastric X-ray images.

Explainable deep learning-based computer-aided system for H. Pylori infection diagnosis using gastric X-ray images.

Comfortable bio-feedback control system with body surface measurement for stable respiration induced tumor motion during radiotherapy.

Comfortable bio-feedback control system with body surface measurement for stable respiration induced tumor motion during radiotherapy.

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