- Prediction of Optimal Facial Electromyographic Sensor Configurations for Human–Machine Interface Control
- 3D Ultrasound Imaging of Residual Limbs With Camera-Based Motion Compensation
- Friction in Passive Tactile Perception Induces Phase Coherency in Late Somatosensory Single Trial Sequences
- Holding Static Arm Configurations With Functional Electrical Stimulation: A Case Study
- A High Performance Spelling System based on EEG-EOG Signals With Visual Feedback
- Mathematical Modeling for Description of Oscillation Suppression Induced by Deep Brain Stimulation
- Connectivity and Centrality Characteristics of the Epileptogenic Focus Using Directed Network Analysis
- Intraoperative Thermography of the Electrical Stimulation Mapping: A Safety Control Study
- Design and Validation of a Semi-Active Variable Stiffness Foot Prosthesis
- Using the Motion of the Head-Neck as a Joystick for Orientation Control
- Synergy-Based FES for Post-Stroke Rehabilitation of Upper-Limb Motor Functions
- Language-Model Assisted and Icon-Based Communication Through a Brain–Computer Interface With Different Presentation Paradigms
- Predicting Microsleep States Using EEG Inter-Channel Relationships
- Muscle Synergy Assessment during Single-Leg Stance
- An Adaptive SSVEP-Based Brain-Computer Interface to Compensate Fatigue-Induced Decline of Performance in Practical Application
- Objective Assessment of Spasticity With a Method Based on a Human Upper Limb Model
- Reducing the Energy Cost of Human Running Using an Unpowered Exoskeleton
- Sparse Coding and Compressive Sensing for Overlapping Neural Spike Sorting
- Multi-view Multi-scale Optimization of Feature Representation for EEG Classification Improvement
- fNIRS Evidence for Distinguishing Patients with Major Depression and Healthy Controls
- Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Feedforward Ballistic Contractions and Implications for Direct Neural Control of Powered Lower Limb Prostheses
- Spatio–Spectral Representation Learning for Electroencephalographic Gait-Pattern Classification
- Automatically Evaluating Balance: A Machine Learning Approach
- Multiple Classification of Gait Using Time-Frequency Representations and Deep Convolutional Neural Networks
- Motion Imagery-BCI Based on EEG and Eye Movement Data Fusion
- A Real-Time Movement Artifact Removal Method for Ambulatory Brain-Computer Interfaces
- Online Learning of Gait Models From Older Adult Data
- Single-Finger Neural Basis Information-Based Neural Decoder for Multi-Finger Movements
- A Soft Exosuit for Flexible Upper-Extremity Rehabilitation
- STEW: Simultaneous Task EEG Workload Data Set
- The Effect of Manual Wheelchair Propulsion Speed on Users’ Shoulder Muscle Coordination Patterns in Time-Frequency and Principal Component Analysis
- Analysis of Light Propagation on Physiological Properties of Neurons for Nanoscale Optogenetics
- Study of Weak Periodic Signals in the EEG Signals and Their Relationship With Postsynaptic Potentials
- Feedback Control of Functional Electrical Stimulation for 2-D Arm Reaching Movements
- simBCI—A Framework for Studying BCI Methods by Simulated EEG
- Combined Lateral and Longitudinal Control of EEG Signals-Based Brain-Controlled Vehicles
- A Novel Technique for Selecting EMG-Contaminated EEG Channels in Self-Paced Brain–Computer Interface Task Onset
- Temporal–Spatial Patterns in Dynamic Functional Brain Network for Self-Paced Hand Movement
- Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication
- Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
- Selecting a Best Compromise Direction for a Powered Wheelchair Using PROMETHEE
- Spatial–Temporal Discriminative Restricted Boltzmann Machine for Event-Related Potential Detection and Analysis
- Stand Trainer With Applied Forces at the Pelvis and Trunk: Response to Perturbations and Assist-As-Needed Support
- Batch Mode Query by Committee for Motor Imagery-Based BCI
- Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson’s Disease
- Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network
- Decoding Imagined Speech Based on Deep Metric Learning for Intuitive BCI Communication
- Learning Spatial–Spectral–Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment
- A Weighted Speaker-Specific Confusion Transducer-Based Augmentative and Alternative Speech Communication Aid for Dysarthric Speakers
- Decoding Native Cortical Representations for Flexion and Extension at Upper Limb Joints Using Electrocorticography
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