國立陽明交通大學 神經工程實驗室

Research: Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review

Research: Study of Neural Mechanisms and Classification in Human Inhibition

Research: Longitudinal electrophysiological and psychometric correlates of emotional state and sustained attention ability in graduate students

Research: Developing a Wearable Physiological State Monitoring System for Assistive Diagnosis of ADHD

Research: A Bipedal Brain-Computer Interface System based on Functional Connectivity Network for Post-Stroke Rehabilitation

Research: Studying Neurodynamics of Visual Search During Locomotion Multitasking using Mobile Wireless EEG

Research: Enhancement of Hybrid BCI Using Two Central EEG Channels via Motor Imagery and SSVEP

Research: Fragment Delivering Aroma Stimulus during Whole Night Sleep Can Effectively Enhance Sleep Quality

Research: Brain Oscillations and Hemodynamics of Simultaneous EEG/fNIRS Recording in Exploring Attention Network Task

Research: Neural Mechanisms of Inhibitory Response in Battlefield Scenario: a Simultaneous FMRI-EEG Study

Research: Wireless Forehead EEG and Eye-blink Feature Extraction for Enhancing Alertness in Fatigue Driving

Research: SSVEP-based Brain–computer Interface for the Practical Game Design

Research: Integration of Wireless ECG and Skin Temperature Signals for Developing a Clinical Vital Sign Monitoring System

Research: Neural Mechanism of Attention Network under Competitive Stress Using Simultaneous EEG & fNIRS Recording

Research: Habituated Trends of Wireless EEG Power Spectrum for Developing a Migraine States Classification System

Research: Phasic Patterns of Resting EEG Spectrum and Assessment of Headache Intensity in Migraine

Research: Resting EEG Asymmetry and Oscillations Associated with Academic Stress in the Classroom

Research: Knowledge transfer based SSVEP BCI development for exploration and enhancing sustained usage performance during physiological state changes

Research: Development and Performance Evaluation of Hybrid BCI System based on RSVP and SSVEP

Research: CCA-based Motion Artifact Removal Algorithm for Single-channel Exercise ECG

Research: EEG oscillation associated with identification levels in a video game

Research: Resting and pre-stimulus EEG spectra predict SNR of EEG and BCI performance

Research: EEG Oscillatory Changes of Parkinson’s Disease Patients using the Co-ordinated Multifocal Burst Stimulation

Research: Neural Oscillation of Utilizing Music Rhythm Feedback in Mixed Reality for Assisting Post-Stroke Lower-Limb Rehabilitation

Research: Adaptive artifact subspace reconstruction for artifact removal in real-time EEG processing

Research: Adaptive Optimization for Enhancing Practical BCI Performance based on Nonparametric Supervised Learning

Research: Development of the Flexible Graphene-Silicone Dry Electrode for Real-World BCI

Research: Development of a K-CPT-Based Hierarchy Inference System Utilizing Wireless EEG to Evaluate ADHD Symptoms in Preschoolers

Research: Brain Dynamics of Functional Electrical Stimulation on Sensorimotor Activity and Corticomuscular Coherence in Gait Training for Stroke Rehabilitation

Research: Decoding human somatosensory sensitivity through resting EEG and behavior analysis: a multi-modal fusion system

Research: Emotion Recognition using Hierarchical Classification of EEG Based on Gender Differences

Research: Development of a Brain-Controlled Knee-Joint Exoskeleton with Multi-Neurophysiological Features Ensemble

Research: Exploring multivariate EEG features associated with visual and auditory attention tests for enhancing assistive school-age ADHD diagnosis

Research: A Novel Brain Topology-map Convolution and Human Cognition-based Multi-Modality Exoskeleton BCI System for Lower-limbs Stroke Rehabilitation

Research: Development of an EEG-based inattentiveness severity estimation system in children with ADHD

Research: Development of a Wearable AR-based BCI on a Single Board Computer for Mobile Brain Imaging

Research: Characterizing Cortical Activity Changes Associated with Motor Relearning During Gamified Upper Limb Ergometer Training in Stroke Rehabilitation