Electrodes

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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Decoding Native Cortical Representations for Flexion and Extension at Upper Limb Joints Using Electrocorticography

Decoding Native Cortical Representations for Flexion and Extension at Upper Limb Joints Using Electrocorticography
Author(s)3: Tessy M. Thomas, Daniel N. Candrea, Matthew S. Fifer, David P. McMullen, W. S. Anderson, Nitish V. Thakor, Nathan E. Crone
Decoding Native Cortical Representations for Flexion and Extension at Upper Limb Joints Using Electrocorticography 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

       Brain–machine interface (BMI) researchers have traditionally focused on modeling endpoint reaching tasks to provide the control of neurally driven prosthetic arms. Most previous research has focused on achieving an…

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Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data

Cortico-Muscular Coherence Modulated by High-Definition Transcranial Direct Current Stimulation in People With Chronic Stroke
Author(s)3: Shi-Chun Bao, Wan-Wa Wong, Thomas Wai Hong Leung, Kai-Yu Tong
Cortico-Muscular Coherence Modulated by High-Definition Transcranial Direct Current Stimulation in People With Chronic Stroke 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    High-definition transcranial direct current stimulation (HD-tDCS) is a potential neuromodulation apparatus for stroke rehabilitation. However, its modulatory effects in stroke subjects is still not well understood. In this paper,…

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Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data

Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data
Author(s)3: Shuting Sun, Xiaowei Li, Jing Zhu, Ying Wang, Rong La, Xuemin Zhang, Liuqing Wei, Bin Hu
Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

        Existing studies have shown functional brain networks in patients with major depressive disorder (MDD) have abnormal network topology structure. But the methods to construct brain network still exist some…

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Unimanual Versus Bimanual Motor Imagery

Unimanual vs Bimanual Motor Imagery Classifiers for Assistive and Rehabilitative Brain Computer Interfaces
Author(s)3: Vuckovic Aleksandra, Pangaro Sara, Putri Finda
Unimanual vs Bimanual Motor Imagery Classifiers for Assistive and Rehabilitative Brain Computer Interfaces 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

   Bimanual movements are an integral part of everyday activities and are often included in rehabilitation therapies. Yet electroencephalography (EEG) based assistive and rehabilitative brain computer interface (BCI) systems typically…

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Functional selectivity of lumbosacral stimulation: Methodological approach and pilot study to assess visceral function in pigs
Author(s)3: Thomas Guiho, Christine Azevedo-Coste, David Andreu, Claire Delleci, Luc Bauchet, Jean-Rodolphe Vignes, David Guiraud
Functional selectivity of lumbosacral stimulation: Methodological approach and pilot study to assess visceral function in pigs 378 250 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Nearly all spinal cord injured (SCI) individuals lose bladder control and are prone to kidney complications if intermittent catheterization is not applied. Electrical stimulation (ES) of the sacral anterior roots…

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Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study

Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study
Author(s)3: Dustin L. Crouch, Lizhi Pan, William Filer, Jonathan W. Stallings, He Huang
Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study 502 415 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

     Simultaneous and proportional control (SPC) of neural-machine interfaces uses magnitudes of smoothed electromyograms (EMG) as control inputs. Though surface EMG (sEMG) electrodes are common for clinical neural-machine interfaces, intramuscular…

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TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.

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