Correlation

Comparing Powered Wheelchair Driving Characteristics of Real Driving and Two Types of Simulated Driving
Comparing Powered Wheelchair Driving Characteristics of Real Driving and Two Types of Simulated Driving 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
We aimed to gather evidence on the feasibility of using simulator-based driving assessments for prescribing powered mobility devices (PMDs). Therefore, we compared the driving characteristics of real driving and two… 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

Trial-by-Trial Variability of TMS-EEG in Healthy Controls and Patients With Depressive Disorder
Trial-by-Trial Variability of TMS-EEG in Healthy Controls and Patients With Depressive Disorder 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Depressive disorder has been known to be associated with high variability in resting-state electroencephalography (EEG) signals. However, this phenomenon is often ignored in stimulus-related brain activities. This study proposed a… 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

Effect of Inverse Solutions, Connectivity Measures, and Node Sizes on EEG Source Network: A Simultaneous EEG Study
Effect of Inverse Solutions, Connectivity Measures, and Node Sizes on EEG Source Network: A Simultaneous EEG Study 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Brain network provides an essential perspective for studying normal and pathological brain activities. Reconstructing the brain network in the source space becomes more needed, for example, as a target in… read more
Neural Decoding for Macaque’s Finger Position: Convolutional Space Model

Neural Decoding for Macaque’s Finger Position: Convolutional Space Model
Author(s)3: Haifeng Wu, Jingyi Feng, Yu Zeng
Neural Decoding for Macaque’s Finger Position: Convolutional Space Model 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

   In this paper, we study how to use the number of spike signals in a macaque’s motor cortex to estimate the position of its finger movement. First, we analyze…

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The results of significant and correlation analysis in Delta frequency band.

Magnitude Squared Coherence Method based on Weighted Canonical Correlation Analysis for EEG Synchronization Analysis in Amnesic Mild Cognitive Impairment of Diabetes Mellitus
Author(s)3: Dong Cui, Shunai Qi, Guanghua Gu, Xiaoli Li, Zhaohui Li, Lei Wang, Shimin Yin
Magnitude Squared Coherence Method based on Weighted Canonical Correlation Analysis for EEG Synchronization Analysis in Amnesic Mild Cognitive Impairment of Diabetes Mellitus 538 426 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

       Type 2 diabetes mellitus (T2DM) increases the risk of amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease(AD). aMCI is the transitory stage from normal cognition to AD, which seriously…

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Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network
Author(s)3: Hang Zhang, Li Yao, Zhiying Long
Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract Numerous studies provide evidences that motor skill learning changes the activity of some brain regions during task as well as some resting networks during rest. However, it is still…

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