Presentation Information
[10p-B32-1]Eight Years of EEG Measurement with ALS Patients: Body-Augmentation BMI Bridging Theory and Practice
〇Mikito Ogino1 (1.Univ. Tokyo)
Keywords:
brain-machine interface,body augmentation,neural dynamics
Brain–machine interfaces (BMIs) based on electroencephalography (EEG) aim to restore communication and device control for people who have lost voluntary movement, such as patients with amyotrophic lateral sclerosis (ALS). This talk brings together two perspectives. The first is practice: eight years of EEG measurement with ALS patients, including auditory ERP-based BMIs and the challenges of long-term, real-world recording. The second is theory: modeling neural dynamics as a linear dynamical system and asking how the brain can be measured and driven—through system identification, controllability, and the design of optimal perturbation inputs. Bridging the two is far from straightforward, and much remains future work. Sharing both the difficulties and current progress, I discuss a path beyond communication toward body-augmentation BMI that controls external devices and extends, rather than merely restores, lost bodily function.