Articles

A Control-Theoretical System for Modulating Hippocampal Gamma Oscillations using Stimulation of the Posterior Cingulate Cortex
A Control-Theoretical System for Modulating Hippocampal Gamma Oscillations using Stimulation of the Posterior Cingulate Cortex 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Author (s): Carlos E. Davila;David X. Wang;Maxwell Ritzer;Rosalyn Moran;Bradley C. Lega Closed-loop stimulation for targeted modulation of brain signals has emerged as a promising strategy for episodic memory restoration. In…

read more

Coil efficiency for inductive peripheral nerve stimulation
Coil efficiency for inductive peripheral nerve stimulation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Author (s): Philipp Braun;Jonathan Rapp;Werner Hemmert;Bernhard Gleich Magnetic stimulation of peripheral nerves is evoked by electric field gradients caused by high-intensity, pulsed magnetic fields created from a coil. Currents required…

read more

Multilevel Feature Learning Method for Accurate Interictal Epileptiform Spike Detection
Multilevel Feature Learning Method for Accurate Interictal Epileptiform Spike Detection 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Author (s): Chenchen Cheng;Yan Liu;Bo You;Yuanfeng Zhou;Fei Gao;Liling Yang;Yakang Dai Interictal epileptiform spike (referred to as spike) detected from electroencephalograms lasting only 20- to 200-ms can provide a reliable evidence-based…

read more

eyeSay: Brain Visual Dynamics Decoding with Deep Learning & Edge Computing
eyeSay: Brain Visual Dynamics Decoding with Deep Learning & Edge Computing 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Author (s): Jiadao Zou;Qingxue Zhang Brain visual dynamics encode rich functional and biological patterns of the neural system, and if decoded, are of great promise for many applications such as…

read more

Random Channel Masks for Regularization of Least Squares-Based Finger EMG-Force Modeling to Improve Cross-Day Performance
Random Channel Masks for Regularization of Least Squares-Based Finger EMG-Force Modeling to Improve Cross-Day Performance 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Authors (s): Xinyu Jiang;Xiangyu Liu;Jiahao Fan;Chenyun Dai;Edward A. Clancy;Wei Chen Estimating the finger forces from surface electromyography (sEMG) is essential for diverse applications (e.g., human-machine interfacing). The performance of pre-trained…

read more

Development and Characterization of a Micromagnetic Alternative to Cochlear Implant Electrode Arrays
Development and Characterization of a Micromagnetic Alternative to Cochlear Implant Electrode Arrays 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Author (s): Ressa Reneth S. Sarreal;David T. Blake;Pamela T. Bhatti To stimulate the auditory nerve, cochlear implants directly inject electrical current into surrounding tissue via an implanted electrode array. While…

read more

Design of an Interactive Virtual Reality System, InViRS, for Joint Attention Practice in Autistic Children
Author(s)3: Ashwaq Z. Amat, Huan Zhao, Amy Swanson, Amy S. Weitlauf, Zachary Warren, Nilanjan Sarkar
Design of an Interactive Virtual Reality System, InViRS, for Joint Attention Practice in Autistic Children 439 456 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Many children with Autism Spectrum Disorder (ASD) exhibit atypical gaze behaviors related to joint attention, a fundamental social-communication skill. Specifically, children with ASD1 show differences in the skills of gaze…

read more

A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery
Author(s)3: Susanna Yu. Gordleeva, Victor B. Kazantsev, Alexander E. Hramov, Alexander Ya. Kaplan, Natalia N. Shusharina, Anna Udoratina, Maksim V. Lukoyanov, Andrey O. Savosenkov, Nikita A. Grigorev
A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery 535 480 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

In this study, we address the issue of whether vibrotactile feedback can enhance the motor cortex excitability translated into the plastic changes in local cortical areas during motor imagery (MI)…

read more

An Index from Transcranial Doppler Signals for Evaluation of Stroke Rehabilitation Using External Counterpulsation
Author(s)3: Balazs Elod, Ka Sing Wong, Yawei Wang, Danyang Liu, Li Xiong
An Index from Transcranial Doppler Signals for Evaluation of Stroke Rehabilitation Using External Counterpulsation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

This study aimed to develop a sensitive index from transcranial Doppler (TCD) signals for quantitatively evaluating the effects of long-term external counterpulsation (ECP) treatment on stroke rehabilitation. We recruited 27…

read more

A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Motor Imagery EEG Decoding
Author(s)3: Fangang Meng, Jingyu Liu, Lianghui Guo, Yang Li, Yu Liu
A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Motor Imagery EEG Decoding 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Motor imagery (MI) electroencephalography (EEG) decoding plays an important role in brain-computer interface (BCI), which enables motor-disabled patients to communicate with the outside world via external devices. Recent deep learning…

read more
Search this website