Spatiotemporal phenomena

Changes in Spatiotemporal Variability of Muscular Response under the Influence of Post-stroke Spasticity

Changes in Spatiotemporal Variability of Muscular Response under the Influence of Post-stroke Spasticity 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Spasticity is characterized by involuntary muscle activation due to the hyperexcitability of the stretch reflex. However, the temporal pattern and spatial heterogeneity of motor unit recruitment in this activation are… read more

Spatiotemporal Dynamics of Periodic and Aperiodic Brain Activity Under Peripheral Nerve Stimulation With Acupuncture

Spatiotemporal Dynamics of Periodic and Aperiodic Brain Activity Under Peripheral Nerve Stimulation With Acupuncture 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Brain activities are a mixture of periodic and aperiodic components, manifesting in the power spectral density (PSD) as rhythmic oscillations with spectral peaks and broadband fluctuations. Periodic oscillatory properties of… read more

A Compact Graph Convolutional Network With Adaptive Functional Connectivity for Seizure Prediction

A Compact Graph Convolutional Network With Adaptive Functional Connectivity for Seizure Prediction 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Seizure prediction using EEG has significant implications for the daily monitoring and treatment of epilepsy patients. However, the task is challenging due to the underlying spatiotemporal correlations and patient heterogeneity.… read more

Modeling the Heterogeneity of Post-Stroke Gait Control in Free-Living Environments Using a Personalized Causal Network

Modeling the Heterogeneity of Post-Stroke Gait Control in Free-Living Environments Using a Personalized Causal Network 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Post-stroke gait control is a complex, often fail to account for the heterogeneity and continuity of gait in existing gait models. Precisely evaluating gait speed adjustability and gait instability in… read more

A Combination Model of Shifting Joint Angle Changes With 3D-Deep Convolutional Neural Network to Recognize Human Activity

A Combination Model of Shifting Joint Angle Changes With 3D-Deep Convolutional Neural Network to Recognize Human Activity 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Research in the field of human activity recognition is very interesting due to its potential for various applications such as in the field of medical rehabilitation. The need to advance… read more