
Hiroshima University
Intelligent Biosignal Informatics Laboratory
Graduate School of Advanced Science and Technology, Information Science Program, Hiroshima University
Research Approaches
Our thoughts, emotions, and actions arise from neural systems centered in the brain. "Biosignals" such as EEG, EMG, and ECG capture this activity from outside the body, revealing our cognitive states and intentions. By analyzing these signals with advanced technology, we can unlock human information processing mechanisms, opening doors to applications from early disease diagnosis to Human-Machine Interfaces (HMI). Our laboratory explores these mechanisms through mathematical modeling, AI/machine learning, and applied system development, aiming to create innovative technologies that benefit society.
Biomedical Signal Modeling and Analysis
We model biomedical signals such as EEG and EMG using mathematical models and analyze them using signal processing and probability theory.
Machine Learning / Deep Learning
We build intelligent systems utilizing pattern recognition, time series analysis, and deep learning.
Applied Systems & Interface Development
We implement research results as practical systems and interfaces, aiming for social implementation.