Biomechanical Engineering

Students in the Course of Biomechanical Engineering for Biomechani-cal Systems learn how to employ a mechanical systems engineering approach to research on life systems, and to apply this approach to fundamental medical research as well as education and research on clinical applications. We teach the following fields.

Biological Flow Studies

Biomechanics for studying physiological and pathological phenomena of human

  • Professor Takuji Ishikawa Professor
    Takuji Ishikawa
  • Associate Professor Kenji Kikuchi Associate Professor
    Kenji Kikuchi
  • Associate Professor Keiko Numayama Associate Professor
    Keiko Numayama
  • Associate Professor Toshihiro Omori Associate Professor
    Toshihiro Omori

Biomechanics is a research field to understand biological, physiological and pathological phenomena in terms of physical principles. The methodology gives novel knowledge, which has not been accessible by conventional biological, medical and chemical tools. Our group focuses on biological flow related to human being and microorganisms, and try to overcome some of health and environmental problems. Our research interests cover a broad range of topics, such as large scale GPU computing of a suspension of biological cells, physiological and pathological flow in the cardiovascular, respiratory and digestive systems, and development of a micro-fluidic device for diagnosis.

  • Computational biomechanics of cardiovascular, respiratory and digestive systems

    Computational biomechanics of cardiovascular, respiratory and digestive systems

  • Microfluidics for cancer diagnosis and blood flow measurement

    Microfluidics for cancer diagnosis and blood flow measurement

Medical Nanosystem Engineering

Research and development of biomedical micro/nano system based on semiconductor neural engineering

  • Professor Tetsu Tanaka Professor
    Tetsu Tanaka
  • Associate Professor Takafumi Fukushima Associate Professor
    Takafumi Fukushima

Semiconductor neural engineering is a discipline that uses semiconductor process/device/circuit technologies to further understand properties of neural systems and to create novel fusion systems of living body and machine. One of the goals in this laboratory is to establish semiconductor neural engineering and develop biomedical micro/nano systems. Another goal is to educate the next generation of leaders in biomedical engineering through research including:

  1. Fully-implantable retinal prosthesis system
  2. Intelligent neural probe and brain-machine interface
  3. Wearable and Flexible Device Technology
  4. 3-dimensional integration technology and analog/digital IC design
  • Electrical stimulation and recording of hippocampal slice with intelligent Si neural probe

    Electrical stimulation and recording of hippocampal slice with intelligent Si neural probe

  • A 37x37 pixels artificial retina chip (3.2mm x 3.2mm)

    A 37x37 pixels artificial retina chip (3.2mm x 3.2mm)

  • Device fabrication in the clean room (Handling of 8-inch silicon wafer)

    Device fabrication in the clean room (Handling of 8-inch silicon wafer)

Biomedical Nanoscience

Nano-imaging analysis of life and diseases

  • Professor Makoto Kanzaki Professor
    Makoto Kanzaki

We are experiencing an explosive increase in the number of people diagnosed with the various lifestyle diseases including type 2 diabetes worldwide. Current research in the Kanzaki laboratory has been focused on understanding the molecular pathogenesis of the lifestyle diseases (and mechanisms underlying the beneficial effects of physical exercise) by using cutting-edge nano-imaging technology and advanced cellular/molecular engineering technologies.

  1. Nano-imaging analysis of Cellular Functions and Diseases
  2. Cellular Engineering Innovation
  3. Sorting Disorders and Lifestyle Diseases
  4. Mechanisms underlying the Beneficial Effects of Exercise
  • Live Imaging Analysis of Skeletal Muscles

    Live Imaging Analysis of Skeletal Muscles

  • Fluorescent Microscopy for Biological Nano-systems Analysis

    Fluorescent Microscopy for Biological Nano-systems Analysis

Wet Device Engineering

Research and development of bio-hybrid devices

  • Professor Matsuhiko Nishizawa Professor
    Matsuhiko Nishizawa

We have developed biohybrid devices and systems that are bio- and eco-compatible. By inventing manufacturing techniques applicable for delicate biological elements (proteins, hydrogels, cells etc.), superior biofunctions including high-sensitivity and high-efficiency can be utilized as the device functions for medical, healthcare, cosmetic, drug discovery applications.

  1. Biobattery-driven skin patches for healthcare and drug delivery
  2. Hydrogel-based microelectrodes for neuro-monitoring
  3. Implantable autonomous DDS devices
  4. Novel in vitro cellular assay devices
  • Self-powered DDS patch

    Self-powered DDS patch

  • Hydrogel-based microelectrodes

    Hydrogel-based microelectrodes

Neuro-Robotics

Robotics for Neuroscience, Neuroscience for Robotics

  • Professor Mitsuhiro Hayashibe Professor
    Mitsuhiro Hayashibe

Recently, the current era is referred as a century of robotics and AI. However, robot capability in real life is still rather limited then there are still a lot of things we need to deeply learn from advanced and robust motor control and sensory functions which humans have, for next step forward. Robotics is also useful as computational tool to understand human motor learning mechanism. Neuroscience knowledge can be useful to improve robot capability. We study on neuroscience for robotics and robotics for neuroscience as [Neuro-Robotics].

  1. Study of human motor control, adaptive learning mechanism
  2. Modeling and identifying biological signals and functions
  3. Study on redundant joint control and biological motor learning of vertebrates
  4. Development of robot technology to Neuro-Rehabilitation
  • NIRS-EEG joint imaging during transcranial direct current stimulation

    NIRS-EEG joint imaging during transcranial direct current stimulation

  • Muscle volumetric modeling for function, physiology and deformation

    Muscle volumetric modeling for function, physiology and deformation

  • Balance estimation independent from foot pressure measurement

    Balance estimation independent from foot pressure measurement