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Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation
Author(s)3: Guangyi Zhang, Ali Etemad
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Driver vigilance estimation is an important task for transportation safety. Wearable and portable brain-computer interface devices provide a powerful means for real-time monitoring of the vigilance level of drivers to…

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Quantification of Motor Function Post-stroke using Novel Combination of Wearable Inertial and Mechanomyographic Sensors
Author(s)3: Lewis Formstone, Weiguang Huo, Samuel Wilson, Alison McGregor, Paul Bentley, Ravi Vaidyanathan
Quantification of Motor Function Post-stroke using Novel Combination of Wearable Inertial and Mechanomyographic Sensors 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Subjective clinical rating scales represent the gold-standard diagnosis of motor function following stroke, however in practice they suffer from well-recognized limitations including assessor variance, low inter-rater reliability and low resolution.…

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Domain-adaptive Fall Detection Using Deep Adversarial Training
Author(s)3: Kai-Chun Liu, Michael Chan, Heng-Cheng Kuo, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao
Domain-adaptive Fall Detection Using Deep Adversarial Training 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Fall detection (FD) systems are important assistive technologies for healthcare that can detect emergency fall events and alert caregivers. However, it is not easy to obtain large-scale annotated fall events…

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Sparse Visual-Inertial Measurement Units Placement for Gait Kinematics Assessment
Author(s)3: Randa Mallat, Vincent Bonnet, Raphael Dumas, Mohamed Adjel, Gentiane Venture, Mohamad Khalil, Samer Mohammed
Sparse Visual-Inertial Measurement Units Placement for Gait Kinematics Assessment 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

This study investigates the possibility of estimating lower-limb joint kinematics and meaningful performance indexes for physiotherapists, during gait on a treadmill based on data collected from a sparse placement of…

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Brain-Computer-Spinal Interface Restores Upper Limb Function after Spinal Cord Injury
Author(s)3: Soshi Samejima, Abed Khorasani, Vaishnavi Ranganathan, Jared Nakahara, Nick M. Tolley, Adrien Boissenin, Vahid Shalchyan, Mohammad Reza Daliri, Joshua R. Smith, Chet T. Moritz
Brain-Computer-Spinal Interface Restores Upper Limb Function after Spinal Cord Injury 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Brain-computer interfaces (BCIs) are an emerging strategy for spinal cord injury (SCI) intervention that may be used to reanimate paralyzed limbs. This approach requires decoding movement intention from the brain…

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Different biomechanical variables explain within-subjects versus between-subjects variance in step length asymmetry post-stroke
Author(s)3: Natalia Sánchez, Nicolas Schweighofer, James M. Finley
Different biomechanical variables explain within-subjects versus between-subjects variance in step length asymmetry post-stroke 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Step length asymmetry (SLA) is common in most stroke survivors. Several studies have shown that factors such as paretic propulsion can explain between-subjects differences in SLA. However, whether the factors…

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Determining factors that influence adoption of new post-stroke sensorimotor rehabilitation devices in the USA
Author(s)3: Corey M. Morrow, Emily Johnson, Kit N. Simpson, Na Jin Seo
Determining factors that influence adoption of new post-stroke sensorimotor rehabilitation devices in the USA 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Rehabilitation device efficacy alone does not lead to clinical practice adoption. Previous literature identifies drivers for device adoption by therapists but does not identify the best settings to introduce devices,…

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Design and characterization of a textile electrode system for the detection of High-Density sEMG
Author(s)3: Giacinto Luigi Cerone, Alberto Botter, Taian Vieira, Marco Gazzoni
Design and characterization of a textile electrode system for the detection of High-Density sEMG 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Muscle activity monitoring in dynamic conditions is a crucial need in different scenarios, ranging from sport to rehabilitation science and applied physiology. The acquisition of surface electromyographic (sEMG) signals by…

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Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution
Author(s)3: Minji Lee, Ji-Hoon Jeong, Yun-Hee Kim, Seong-Whan Lee
Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

In stroke rehabilitation, motor imagery based on a brain–computer interface is an extremely useful method to control an external device and utilize neurofeedback. Many studies have reported on the classification…

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Deep-Learning-Based Emergency Stop Prediction for Robotic Lower-Limb Rehabilitation Training Systems
Author(s)3: Baekdong Cha, Kyung-hwan Lee, Jeha Ryu
Deep-Learning-Based Emergency Stop Prediction for Robotic Lower-Limb Rehabilitation Training Systems 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Robotic lower-limb rehabilitation training is a better alternative for the physical training efforts of a therapist due to advantages, such as intensive repetitive motions, economical therapy, and quantitative assessment of…

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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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