Electrodes

Myoelectric Fatigue and Motor-Unit Firing Patterns During Sinusoidal Vibration Superimposed on Low-Intensity Isometric Contraction
Myoelectric Fatigue and Motor-Unit Firing Patterns During Sinusoidal Vibration Superimposed on Low-Intensity Isometric Contraction 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Vibration exercise (VE) has shown promising results for improving muscle strength and power performance when superimposed on high-level muscle contraction. However, low-level contraction may be more preferable in many rehabilitation… read more

A Scoping Review of Machine Learning Applied to Peripheral Nerve Interfaces
A Scoping Review of Machine Learning Applied to Peripheral Nerve Interfaces 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Peripheral nerve interfaces (PNIs) can enable communication with the peripheral nervous system and have a broad range of applications including in bioelectronic medicine and neuroprostheses. They can modulate neural activity… read more

Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange
Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
With the development and characterization of biomarkers that may reflect neural network state as well as a patient’s clinical deficits, there is growing interest in more complex stimulation designs. While… read more

Multimodal Emotion Recognition Based on EEG and EOG Signals Evoked by the Video-Odor Stimuli
Multimodal Emotion Recognition Based on EEG and EOG Signals Evoked by the Video-Odor Stimuli 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Affective data is the basis of emotion recognition, which is mainly acquired through extrinsic elicitation. To investigate the enhancing effects of multi-sensory stimuli on emotion elicitation and emotion recognition, we… read more

The Effect of Stimulation Intensity, Sampling Frequency, and Sample Synchronization in TMS-EEG on the TMS Pulse Artifact Amplitude and Duration
The Effect of Stimulation Intensity, Sampling Frequency, and Sample Synchronization in TMS-EEG on the TMS Pulse Artifact Amplitude and Duration 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Transcranial magnetic stimulation (TMS) coupled with electroencephalography (EEG) possesses diagnostic and therapeutic benefits. However, TMS provokes a large pulse artifact that momentarily obscures the cortical response, presenting a significant challenge… read more

EEG-Based Brain Functional Network Analysis for Differential Identification of Dementia-Related Disorders and Their Onset
EEG-Based Brain Functional Network Analysis for Differential Identification of Dementia-Related Disorders and Their Onset 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Diagnosing and treating dementia, including mild cognitive impairment (MCI), is challenging due to diverse disease types and overlapping symptoms. Early MCI detection is vital as it can precede dementia, yet… read more
From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes

From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes
Author(s)3: Rober Boshra, Kiret Dhindsa, Omar Boursalie, Kyle I. Ruiter, Ranil Sonnadara, Reza Samavi, Thomas E. Doyle, James P. Reilly, John F. Connolly
From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

         There has been increased effort to understand the neurophysiological effects of concussion aimed to move diagnosis and identification beyond current subjective behavioral assessments that suffer from poor sensitivity. Recent…

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Validation of Polymer-Based Screen-Printed Textile Electrodes for Surface EMG Detection

Validation of Polymer-Based Screen-Printed Textile Electrodes for Surface EMG Detection
Author(s)3: D. Pani, A. Achilli, A. Spanu, A. Bonfiglio, mgazzoni, A. Botter
Validation of Polymer-Based Screen-Printed Textile Electrodes for Surface EMG Detection 780 593 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

      In recent years, the variety of textile electrodes developed for electrophysiological signal detection has increased rapidly. Among the applications that could benefit from this advancement, those based on surface…

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A Carbon Slurry Separated Interface Nerve Electrode for Electrical Block of Nerve Conduction

A Carbon Slurry Separated Interface Nerve Electrode for Electrical Block of Nerve Conduction
Author(s)3: Tina L. Vrabec, Jesse S. Wainright, Narendra Bhadra, Laura Shaw, Kevin L. Kilgore, Niloy Bhadra
A Carbon Slurry Separated Interface Nerve Electrode for Electrical Block of Nerve Conduction 780 605 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

      Direct current (DC) nerve block has been shown to provide a complete block of nerve conduction without unwanted neural firing. Previous work shows that high capacitance electrodes can be…

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Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Author(s)3: Ulysse Côté-Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau-Lecours, Clément Gosselin, Kyrre Glette, François Laviolette, Benoit Gosselin
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

        In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field…

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