Entropy

Investigating the Stroke- and Aging-related Changes in Intermuscular Coupling by Refined Composed Multiscale Fuzzy Entropy
Investigating the Stroke- and Aging-related Changes in Intermuscular Coupling by Refined Composed Multiscale Fuzzy Entropy 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Although the entropy algorithm is widely applied in signal complexity analysis, its stability and reliability are limited due to the existence of abnormal signal points. In order to explore the… read more

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

Multi-scale coupling between LFP and EMG in mice by low- intensity pulsed ultrasound stimulation with different number of tone-burst
Multi-scale coupling between LFP and EMG in mice by low- intensity pulsed ultrasound stimulation with different number of tone-burst 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Low-intensity pulsed ultrasound stimulation (LIPUS) as a non-invasive, high-spatial resolution and high penetration depth brain modulation technology has been used for modulating neuromuscular function. However, the modulation of neural electrical… 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

Prediction of Freezing of Gait in Parkinson’s Disease Using Statistical Inference and Lower–Limb Acceleration Data
Author(s)3: Nader Naghavi, Eric Wade
Prediction of Freezing of Gait in Parkinson’s Disease Using Statistical Inference and Lower–Limb Acceleration Data 1024 371 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

The freezing of gait (FoG) is a common type of motor dysfunction in advanced Parkinson’s disease (PD) associated with falls. Over the last decade, a significant amount of studies has…

read more
Search this website