Area of research
Biomedical Engineering · Cognitive Neuroscience
Research interest
Research interests include Muscle activation and electromyography studies, Robot Manipulation and Learning, EEG and Brain-Computer Interfaces, and Motor Control and Adaptation.
Capturing non-Gaussianity of RR interval distributions based on Gaussian scale mixture representation
Motion-Robust Pulse Wave Measurement Using Piezoelectric Film Sensors With Machine Learning-Based Artifact Removal and Regression-Based Validity Assessment
Non-Gaussian modeling of sleep EEG based on a skewed scale mixture structure and its application to sleep stage analysis
Assessing the acute effect of compression socks on improving arterial compliance in young volunteers.
Epileptic Seizure Detection Using a Recurrent Neural Network With Temporal Features Derived From a Scale Mixture EEG Model
Finger-Tapping Motion Recognition Based on Skin Surface Deformation Using Wrist-Mounted Piezoelectric Film Sensors
Simultaneous Motion and Respiration Measurement in Adult Zebrafish Based on the Instantaneous Spatial Distribution of Separated Ventilatory Signals
The Number of Microbubbles Generated During Cardiopulmonary Bypass Can Be Estimated Using Machine Learning From Suction Flow Rate, Venous Reservoir Level, Perfusion Flow Rate, Hematocrit Level, and Blood Temperature.
Simultaneous Control of Venous Reservoir Level and Arterial Flow Rate in Cardiopulmonary Bypass With a Centrifugal Pump.
Repetitive pain experiences modulate feedforward control of hemodynamics and modification by nitrous oxide/oxygen inhalation in humans.
Beat-to-Beat Estimation of Peripheral Arterial Stiffness From Local PWV for Quantitative Evaluation of Sympathetic Nervous System Activity.
EMG pattern recognition via Bayesian inference with scale mixture-based stochastic generative models
Forward and backward locomotion patterns in C. elegans generated by a connectome-based model simulation.
The right hemisphere is important for driving-related cognitive function after stroke.
Non-Gaussianity Detection of EEG Signals Based on a Multivariate Scale Mixture Model for Diagnosis of Epileptic Seizures.
A Neural Network Based on the Johnson <i>S</i>
<sub>U</sub> Translation System and Related Application to Electromyogram Classification
Markerless Video Analysis of Spontaneous Bodily Movements in 4-Month-Old Infants Predicts Autism-like Behavior in 18-Month-Olds
Markerless Measurement and Evaluation of General Movements in Infants.
Is Human Brain Activity During Driving Operations Modulated by the Viscoelastic Characteristics of a Steering Wheel?: An fMRI Study
Targeted Central Nervous System Irradiation of <i>Caenorhabditis elegans</i> Induces a Limited Effect on Motility.
Spatiotemporal Parameterization of Human Reaching Movements Based on Time Base Generator
Steady-State Model of Pressure-Flow Characteristics Modulated by Occluders in Cardiopulmonary Bypass Systems
A myoelectric prosthetic hand with muscle synergy-based motion determination and impedance model-based biomimetic control.
Quantitative Evaluation of Human Finger Tapping Movements Through Magnetic Measurements
A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances.
Estimation of Arterial Viscosity Based on an Oscillometric Method and Its Application in Evaluating the Vascular Endothelial Function.
Unconstrained Vital Sign Monitoring System Using an Aortic Pulse Wave Sensor.
Development of fMRI-Compatible Steering Reaction Force Generation Unit
Muscle Fatigue Analysis by Using a Scale Mixture-based Stochastic Model of Surface EMG Signals.