In “IoB Minimally Invasive Technology Development” project, we aim to solve different social problems by pioneering the dissemination of BMI technology. To achieve this aim, we will develop innovative technologies beyond the existing measurement techniques currently being researched.
Here, we will develop a new type of minimally invasive BMI technology which is different from the invasive BMI technology requiring surgical procedures and more efficient than the non-invasive technology capturing information from the body surface. This technology will have both higher efficiency and safety hard to achieve in existing counterparts.
Through these efforts, we aim to provide the most appropriate technology suited to the user’s needs and their applications and purposes by the seamless utilization of all the technologies covered by the IoB.
Sanken, Osaka University
In this research, we will develop an “extremely minimally invasive BMI system” utilizing flexible and stretchable electronics technology that features flexibility. We will establish a brain measurement technology that allows long-term, minimally invasive access to extremely soft cranial nerve cells and human epidermis, and contribute to the medical treatment of central nervous system and brain-related diseases. Through collaboration within a project that brings together a diverse group of researchers, we will realize this truly socially beneficial BMI.
Department of Neurosurgery, Osaka University Graduate School of Medicine
In this research, we will develop an “extremely minimally invasive BMI system” that can directly acquire EEG information while minimizing the burden on patients, by consolidating the anatomical knowledge and medical techniques developed in neurosurgical practice. If this system was established, EEG information can be acquired with high accuracy over a long period of time without invasive surgical procedures, and we believe it will improve the quality of life of patients who are unable to express their will and behavior as they wish due to illness or trauma.
Professor and Clifford Chair of Neural Engineering
Department of Biomedical Engineering, The University of Melbourne
Graeme Clark Institute, The University of Melbourne
In this research project, we will investigate how visual information is decoded in the brain using different types of intracranial EEG systems. Specifically, we will use electrodes placed on the surface of the brain as well as within the blood vessels of the brain, called endovascular electrodes, to record how the brain responds to different types of visual scenes. We will also develop and evaluate evaluate machine learning algorithms that improve the accuracy and long-term reliability of brain-computer interfaces (BCIs). BCIs enable people to control external devices, such as a computer or vehicle, using brain signals recorded by electrodes placed on or in the head.