feature extraction

FACT-Net: a Frequency Adapter CNN with Temporal-periodicity Inception for Fast and Accurate MI-EEG Decoding
FACT-Net: a Frequency Adapter CNN with Temporal-periodicity Inception for Fast and Accurate MI-EEG Decoding 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery brain-computer interface (MI-BCI) based on non-invasive electroencephalogram (EEG) signals is a typical paradigm of BCI. However, existing decoding methods face significant challenges in terms of signal decoding accuracy,… read more

Synergy-Based Estimation of Balance Condition During Walking Tests
Synergy-Based Estimation of Balance Condition During Walking Tests 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
In the area of human-machine interface research, the continuous estimation of the Center of Pressure (COP) in the human body can assess users’ balance conditions, thereby effectively enhancing the safety… read more

Dyslexia Analysis and Diagnosis Based on Eye Movement
Dyslexia Analysis and Diagnosis Based on Eye Movement 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Dyslexia is a complex reading disorder characterized by difficulties in accurate or fluent word recognition, poor spelling, and decoding abilities. These challenges are not due to intellectual, visual, or auditory… read more

AFSleepNet: Attention-Based Multi-View Feature Fusion Framework for Pediatric Sleep Staging
AFSleepNet: Attention-Based Multi-View Feature Fusion Framework for Pediatric Sleep Staging 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The widespread prevalence of sleep problems in children highlights the importance of timely and accurate sleep staging in the diagnosis and treatment of pediatric sleep disorders. However, most existing sleep… read more

A Novel Multi-Feature Fusion Network With Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition
A Novel Multi-Feature Fusion Network With Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Effectively integrating the time-space-frequency information of multi-modal signals from armband sensor, including surface electromyogram (sEMG) and accelerometer data, is critical for accurate gesture recognition. Existing approaches often neglect the abundant… read more

A Fusion Dimension Reduction Method for the Features of Surface Electromyographic Signals
A Fusion Dimension Reduction Method for the Features of Surface Electromyographic Signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Surface electromyographic signals (sEMG) usually have high-dimensional properties, and direct processing of these data consumes significant computational resources. Dimensionality reduction processing can reduce the dimension of the data and improve… read more

Motor-Related EEG Analysis Using a Pole Tracking Approach
Motor-Related EEG Analysis Using a Pole Tracking Approach 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
This study introduces an alternative approach to electroencephalography (EEG) time-frequency analysis based on time-varying autoregressive (TV-AR) models in a cascade configuration to independently monitor key EEG spectral components. The method… read more

MASER: Enhancing EEG Spatial Resolution With State Space Modeling
MASER: Enhancing EEG Spatial Resolution With State Space Modeling 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Consumer-grade Electroencephalography (EEG) devices equipped with few electrodes often suffer from low spatial resolution, hindering the accurate capture of intricate brain activity patterns. To address this issue, we propose MASER,… read more
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Closed-Loop Deep Brain Stimulation With Reinforcement Learning and Neural Simulation
Closed-Loop Deep Brain Stimulation With Reinforcement Learning and Neural Simulation 480 270 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

This article presents a significant advancement in the field of deep brain stimulation (DBS) through the development of a closed-loop system that integrates reinforcement learning (RL) and neural simulation techniques.…

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Adapting Action Recognition Neural Networks for Automated Infantile Spasm Detection
Adapting Action Recognition Neural Networks for Automated Infantile Spasm Detection 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Infantile spasms are a severe epileptic syndrome characterized by short muscular contractions lasting from 0.5 to 2 seconds. They are often misdiagnosed due to their atypical presentation, and treatment is… read more
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