A5036970055- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
- Muscle activation and electromyography studies
- Non-Invasive Vital Sign Monitoring
- Robot Manipulation and Learning
- Optical Imaging and Spectroscopy Techniques
- Neural dynamics and brain function
- Balance, Gait, and Falls Prevention
- Action Observation and Synchronization
- Hand Gesture Recognition Systems
- Neuroscience and Neural Engineering
- Functional Brain Connectivity Studies
- Water resources management and optimization
- Cardiovascular Function and Risk Factors
- Blind Source Separation Techniques
- Tactile and Sensory Interactions
- Neural and Behavioral Psychology Studies
- Robotic Locomotion and Control
- Heart Rate Variability and Autonomic Control
- Cardiac Imaging and Diagnostics
- Reinforcement Learning in Robotics
- Gaze Tracking and Assistive Technology
- Human Motion and Animation
- Hemodynamic Monitoring and Therapy
- Advanced Memory and Neural Computing
Nagaoka University of Technology
2014-2023
Nagaoka University
2011-2021
International Water Management Institute
2017
United Nations University Institute for Water, Environment, and Health
2017
Utrecht University
2017
International Institute for Applied Systems Analysis
2017
International Water Management Institute
2017
Chiba Institute of Technology
2013-2017
College of Industrial Technology
2017
Nihon University
2017
Functional near-infrared spectroscopy (fNIRS) is used to measure cerebral activity because it simple and portable. However, scalp-hemodynamics often contaminates fNIRS signals, leading detection of cortical in regions that are actually inactive. Methods for removing these artifacts using standard source–detector distance channels (Long-channel) tend over-estimate the artifacts, while methods additional short (Short-channel) require numerous probes cover broad areas, which leads a high cost...
There is an infinity of impedance parameter values, and thus different co-contraction levels, that can produce similar movement kinematics from which the CNS must select one. Although signal-dependent noise (SDN) predicts larger motor-command variability during higher co-contraction, relationship between task performance not theoretically obvious was examined here. Subjects made goal-directed, single-joint elbow movements to either move naturally target sizes or voluntarily co-contract at...
Poststenotic blood flow velocities were evaluated in nine patients with 75% to 99% stenosis of the left anterior descending coronary artery (LAD) during bypass graft surgery. We used 20 MHz 80-channel pulsed Doppler velocimeter developed our laboratory. An operator placed a specially designed probe on native LAD his fingers. Before induction extracorporeal circulation, measured at several locations distal stenosis. The poststenotic rich systolic component reduced diastolic component....
Many evidences suggest that the central nervous system (CNS) acquires and switches internal models for adaptive control in various environments. However, little is known about neural mechanisms responsible switching. A recent computational model simultaneous learning switching of proposes two separate mechanisms: a predictive mechanism purely based on contextual information postdictive difference between actual predicted sensorimotor feedbacks. This can switch solely fashion immediately...
Many researchers have used machine learning models to control artificial hands, walking aids, assistance suits, etc., using the biological signal of electromyography (EMG). The use such devices requires high classification accuracy. One method for improving performance is normalization, as z-score. However, normalization not in most EMG-based motion prediction studies because need calibration and fluctuation reference value (cannot re-use). Therefore, this study, we proposed a that combines...
Performing a complex sequential finger movement requires the temporally well-ordered organization of individual movements. Previous behavioural studies have suggested that brain prepares whole sequence movements as single set, rather than fingers. However, direct neuroimaging support for this hypothesis is lacking and, assuming it to be true, remains unclear which regions represent information prepared sequence. Here, we measured activity with functional magnetic resonance imaging while 14...
In order to evaluate the functional characteristics of intramyocardial capacitance vessels during prolonged diastole, we analyzed response coronary vein flow after stepwise changes artery pressure in anesthetized open-chest dogs by using our newly developed laser Doppler velocimeter with an optical fiber. The peripheral portion great cardiac was isolated and fiber tip inserted into vessel. left anterior descending cannulated connected a reservoir regulate perfusion pressure. Intracoronary...
Brain-machine interfaces (BMI) rely on the accurate classification of event-related potentials (ERPs) and their performance greatly depends appropriate selection classifier parameters features from dense-array electroencephalography (EEG) signals. Moreover, in order to achieve a portable more compact BMI for practical applications, it is also desirable use system capable using information as few EEG channels possible. In present work, we propose method classifying P300 ERPs combination...
Functional near-infrared spectroscopy (fNIRS) is expected to be applied brain-computer interface (BCI) technologies. Since lengthy fNIRS measurements are uncomfortable for participants, it difficult obtain enough data train classification models; hence, the fNIRS-BCI accuracy decreases.In this study, improve accuracy, we examined an augmentation method using Wasserstein generative adversarial networks (WGANs). Using during hand-grasping tasks, evaluated whether proposed could generate...
The auditory Brain-Computer Interface (BCI) using electroencephalograms (EEG) is a subject of intensive study. As cue, BCIs can deal with many the characteristics stimuli such as tone, pitch, and voices. Spatial information on also provides useful for BCI. However, in portable system, virtual have to be presented spatially through earphones or headphones, instead loudspeakers. We investigated possibility an BCI out-of-head sound localization technique, which enables us present users from any...
Objective: The aim was to investigate the phasic characteristics of normal human left coronary artery flow and velocity profiles across vessel. Methods: in anterior descending artery, centreline velocities, were measured 10 patients during corrective surgery for atrial septal defect after closure defect. None these had any detectable stenosis or ventricular hypertrophy. Measurements made with a 20 MHz 80 channel pulsed Doppler velocimeter. Results: waveform displayed diastolic-predominant...
Abstract Why does Fitts’ law fit various human behavioural data well even though it is not a model based on physical dynamics? To clarify this, we derived the relationships among factors applied in law—movement duration and spatial endpoint error—based multi-joint forward- inverse-dynamics models presence of signal-dependent noise. As result, relationship between them was modelled as an inverse proportion. validate whether error calculated by can represent actual movements, conducted...
In recent years, study of brain computer interface (BCI) is conducted actively and many researches implementation using electro encephalic gram (EEG) are reported. On the other hand, some realization BCI based on near-infrared spectroscopy (NIRS) also had been Since a measurement instrument for NIRS comparatively small-scale it can perform noninvasive measurements, expected as one useful tool in order to realize versatile BCIs. this paper, estimation method shown possibility applications...
From allowing basic communication to move through an environment, several attempts are being made in the field of brain-computer interfaces (BCI) assist people that somehow find it difficult or impossible perform certain activities. Focusing on these as potential users BCI, we obtained electroencephalogram (EEG) readings from nine healthy subjects who were presented with auditory stimuli via earphones six different virtual directions. We following oddball paradigm elicit P300 waves within...
Recently, a brain-computer interface (BCI) using virtual sound sources has been proposed for estimating user intention via electroencephalogram (EEG) in an oddball task. However, its performance is still insufficient practical use. In this study, we examine the impact that shortening stimulus onset asynchrony (SOA) on auditory BCI. While very short SOA might improve performance, perception and task become difficult, event-related potentials (ERPs) may not be induced if too short. Therefore,...