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Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation

Author(s): Guangyi Zhang, Ali Etemad

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Quantification of Motor Function Post-stroke using Novel Combination of Wearable Inertial and Mechanomyographic Sensors

Author(s): Lewis Formstone, Weiguang Huo, Samuel Wilson, Alison McGregor, Paul Bentley, Ravi Vaidyanathan

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Domain-adaptive Fall Detection Using Deep Adversarial Training

Author(s): Kai-Chun Liu, Michael Chan, Heng-Cheng Kuo, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Sparse Visual-Inertial Measurement Units Placement for Gait Kinematics Assessment

Author(s): Randa Mallat, Vincent Bonnet, Raphael Dumas, Mohamed Adjel, Gentiane Venture, Mohamad Khalil, Samer Mohammed

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Brain-Computer-Spinal Interface Restores Upper Limb Function after Spinal Cord Injury

Author(s): 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 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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Different biomechanical variables explain within-subjects versus between-subjects variance in step length asymmetry post-stroke

Author(s): Natalia Sánchez, Nicolas Schweighofer, James M. Finley

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Determining factors that influence adoption of new post-stroke sensorimotor rehabilitation devices in the USA

Author(s): Corey M. Morrow, Emily Johnson, Kit N. Simpson, Na Jin Seo

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Design and characterization of a textile electrode system for the detection of High-Density sEMG

Author(s): Giacinto Luigi Cerone, Alberto Botter, Taian Vieira, Marco Gazzoni

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution

Author(s): Minji Lee, Ji-Hoon Jeong, Yun-Hee Kim, Seong-Whan Lee

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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