Transactions on Neural Systems and Rehabilitation Engineering

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Neural Decoding for Macaque’s Finger Position: Convolutional Space Model
   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 the time correlation of a traditional state space model (SSM) and... Read more
Articles, Published Articles
Identification of Developmental Delay in Infants using Wearable Sensors: Full-Day Leg Movement Statistical Feature Analysis
       Abstract This paper examines how features extracted from full-day data recorded by wearable sensors are able to differentiate between infants with typical development and those with or at risk for developmental delays. Wearable sensors were used to collect full-day (8–13 h)... Read more
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Magnitude Squared Coherence Method based on Weighted Canonical Correlation Analysis for EEG Synchronization Analysis in Amnesic Mild Cognitive Impairment of Diabetes Mellitus
       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 impacts the quality of human life, especially for old people. Electroencephalography... Read more
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Classification of Schizophrenia Based on Individual Hierarchical Brain Networks Constructed From Structural MRI Images
With structural magnetic resonance imaging (MRI) images, conventional methods for the classification of schizophrenia (SCZ) and healthy control (HC) extract cortical thickness independently at different regions of interest (ROIs) without considering the correlation between these regions. In this paper, we... Read more
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Abnormality Detection in Correlated Gaussian Molecular Nano-Networks: Design and Analysis
A nano-abnormality detection scheme (NADS) in molecular nano-networks is studied. This is motivated by the fact that early detection of diseases such as cancer plays a crucial role in their successful treatment. The proposed NADS is in fact a two-tier... Read more
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Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network
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 unclear how motor learning affects the resting-state default-mode network (DMN). Using... Read more