Chunjiang Fan
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View article: A Novel Brain–Computer Interface Application: Precise Decoding of Urination and Defecation Motor Attempts in Spinal Cord Injury Patients
A Novel Brain–Computer Interface Application: Precise Decoding of Urination and Defecation Motor Attempts in Spinal Cord Injury Patients Open
Patients with spinal cord injury (SCI) often face urinary and defecation dysfunction, and existing treatments have limited effectiveness. Brain-computer interface (BCI) technology has been shown to have positive effects on the rehabilitati…
View article: A NOVEL INTEGRATION OF MULTI-SCALE AND TEMPORAL CONVOLUTION ALGORITHM FOR ENHANCING STROKE REHABILITATION THROUGH AN INNOVATIVE COMBINATION OF MIRRORED ACTION OBSERVATION AND MOTOR IMAGERY
A NOVEL INTEGRATION OF MULTI-SCALE AND TEMPORAL CONVOLUTION ALGORITHM FOR ENHANCING STROKE REHABILITATION THROUGH AN INNOVATIVE COMBINATION OF MIRRORED ACTION OBSERVATION AND MOTOR IMAGERY Open
Brain–computer interface (BCI) techniques, especially those based on electroencephalogram (EEG), have demonstrated substantial value in stroke rehabilitation by enhancing neuroplasticity and motor skills. This study seeks to further improv…
View article: Not Another Dual Attention UNet Transformer (NNDA-UNETR): a plug-and-play parallel dual attention block in U-Net with enhanced residual blocks for medical image segmentation
Not Another Dual Attention UNet Transformer (NNDA-UNETR): a plug-and-play parallel dual attention block in U-Net with enhanced residual blocks for medical image segmentation Open
NNDA-UNETR offers a robust solution for accurate segmentation in multi-organ tasks, particularly where organ adhesion poses challenges. Its lightweight design also makes it well-suited for deployment in real-world medical environments with…
View article: A computer-aid speech rehabilitation system with mirrored video generating
A computer-aid speech rehabilitation system with mirrored video generating Open
BACKGROUND: Aphasia is a communication disorder that affects the ability to process and produce language, which severely impacting their lives. Computer-aid exercise rehabilitation has shown to be highly effective for these patients. OBJEC…
View article: A Novel Algorithmic Structure of EEG Channel Attention Combined With Swin Transformer for Motor Patterns Classification
A Novel Algorithmic Structure of EEG Channel Attention Combined With Swin Transformer for Motor Patterns Classification Open
With the development of brain-computer interfaces (BCI) technologies, EEG-based BCI applications have been deployed for medical purposes. Motor imagery (MI), applied to promote neural rehabilitation for stroke patients, is among the most c…
View article: A Novel Deep Learning Method Based on an Overlapping Time Window Strategy for Brain–Computer Interface-Based Stroke Rehabilitation
A Novel Deep Learning Method Based on an Overlapping Time Window Strategy for Brain–Computer Interface-Based Stroke Rehabilitation Open
Globally, stroke is a leading cause of death and disability. The classification of motor intentions using brain activity is an important task in the rehabilitation of stroke patients using brain–computer interfaces (BCIs). This paper prese…
View article: AN EFFECTIVE ACTION RECOGNITION APPROACH USED IN PHYSICAL EXERCISE FOR COPD PATIENTS
AN EFFECTIVE ACTION RECOGNITION APPROACH USED IN PHYSICAL EXERCISE FOR COPD PATIENTS Open
This study was conducted to evaluate the effect of computer vision-based respiratory rehabilitation. Chronic obstructive pulmonary disease (COPD) is one of the primary respiratory diseases worldwide. Recently, image-capturing devices are i…
View article: An Effective Fusing Approach by Combining Connectivity Network Pattern and Temporal-Spatial Analysis for EEG-Based BCI Rehabilitation
An Effective Fusing Approach by Combining Connectivity Network Pattern and Temporal-Spatial Analysis for EEG-Based BCI Rehabilitation Open
Motor-modality-based brain computer interface (BCI) could promote the neural rehabilitation for stroke patients. Temporal-spatial analysis was commonly used for pattern recognition in this task. This paper introduced a novel connectivity n…
View article: An Inter- and Intra-Subject Transfer Calibration Scheme for Improving Feedback Performance of Sensorimotor Rhythm-Based BCI Rehabilitation
An Inter- and Intra-Subject Transfer Calibration Scheme for Improving Feedback Performance of Sensorimotor Rhythm-Based BCI Rehabilitation Open
The Brain Computer Interface (BCI) system is a typical neurophysiological application which helps paralyzed patients with human-machine communication. Stroke patients with motor disabilities are able to perform BCI tasks for clinical rehab…
View article: Alertness-based subject-dependent and subject-independent filter optimization for improving classification efficiency of SSVEP detection
Alertness-based subject-dependent and subject-independent filter optimization for improving classification efficiency of SSVEP detection Open
BACKGROUND: Mental task-based brain computer interface (BCI) systems are usually developed for neural prostheses technologies and medical rehabilitation. The mental workload was too heavy for the user to manipulate BCI effectively. Fortuna…
View article: Could the Clinical Effectiveness Be Improved Under the Integration of Orthotic Intervention and Scoliosis-Specific Exercise in Managing Adolescent Idiopathic Scoliosis?
Could the Clinical Effectiveness Be Improved Under the Integration of Orthotic Intervention and Scoliosis-Specific Exercise in Managing Adolescent Idiopathic Scoliosis? Open
Objective The aim of the study was to compare the effectiveness of the integration of orthotic intervention and scoliosis-specific exercise with orthotic intervention only via assessing the spinal deformity, back muscle endurance, and pulm…
View article: A Novel Combination Model of Convolutional Neural Network and Long Short-Term Memory Network for Upper Limb Evaluation Using Kinect-Based System
A Novel Combination Model of Convolutional Neural Network and Long Short-Term Memory Network for Upper Limb Evaluation Using Kinect-Based System Open
Nowadays, somatosensory devices were widely used for developing the rehabilitation systems for limb-injured patients. However, professional evaluation was rarely studied in this field. In our study, we presented a novel hybrid deep network…
View article: A Novel Real-Time Multi-Phase BCI Speller Based on Sliding Control Paradigm of SSVEP
A Novel Real-Time Multi-Phase BCI Speller Based on Sliding Control Paradigm of SSVEP Open
Speller had been proved that it's a kind of well interactive manners for brain computer interface (BCI) system. In this study, we proposed a novel steady-state visual evoked potential (SSVEP) BCI speller developed for numerical input. Base…