Featured Articles

Assessments of Muscle Oxygenation and Cortical Activity Using Functional Near-infrared Spectroscopy in Healthy Adults During Hybrid Activation
Author(s)3: Tai-You Lin, Jin-Shang Wu, Linda L. Lin, Ting-Chuan Ho, Pei-Yi Lin, Jia-Jin J. Chen
Assessments of Muscle Oxygenation and Cortical Activity Using Functional Near-infrared Spectroscopy in Healthy Adults During Hybrid Activation 780 908 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Hybrid activation (HA), patterned electrical stimulation (ES) superimposed on attempted voluntary movement in close synchrony, can augment muscle force output. It has been proposed for limb function restoration and neuromodulation.…

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Assessment of Foot Trajectory for Human Gait Phase Detection Using Wireless Ultrasonic Sensor Network
Author(s)3: Yongbin Qi, Cheong Boon Soh, Erry Gunawan, Kay-Soon Low, Rijil Thomas
Assessment of Foot Trajectory for Human Gait Phase Detection Using Wireless Ultrasonic Sensor Network 1025 498 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

This paper presents a new highly accurate gait phase detection system using wearable wireless ultrasonic sensors, which can be used in gait analysis or rehabilitation applications. The gait phase detection…

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Mechanisms of Gait Asymmetry Due to Push-Off Deficiency in Unilateral Amputees
Author(s)3: Peter Gabriel Adamczyk, Arthur D. Kuo
Mechanisms of Gait Asymmetry Due to Push-Off Deficiency in Unilateral Amputees 780 705 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Unilateral lower-limb amputees exhibit asymmetry in many gait features, such as ground force, step time, step length, and joint mechanics. Although these asymmetries result from weak prosthetic-side push-off, there is…

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Using Actual and Imagined Walking Related Desynchronization Features in a BCI
Author(s)3: Marianne Severens, Monica Perusquia-Hernandez, Bart Nienhuis, Jason Farquhar, Jacques Duysens
Using Actual and Imagined Walking Related Desynchronization Features in a BCI 780 275 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Recently, brain–computer interface (BCI) research has extended to investigate its possible use in motor rehabilitation. Most of these investigations have focused on the upper body. Only few studies consider gait…

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Hand Pose Estimation by Fusion of Inertial and Magnetic Sensing Aided by a Permanent Magnet
Author(s)3: Henk G. Kortier, Jacob Antonsson, H. Martin Schepers, Fredrik Gustafsson, Peter H. Veltink
Hand Pose Estimation by Fusion of Inertial and Magnetic Sensing Aided by a Permanent Magnet 780 530 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Tracking human body motions using inertial sensors has become a well-accepted method in ambulatory applications since the subject is not confined to a lab-bounded volume. However, a major drawback is…

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FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing
Author(s)3: Ian Daly, Reinhold Scherer, Martin Billinger, Gernot Muller-Putz
FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing 780 858 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

A fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in braincomputer interfacing (BCI). The method (FORCe) is based upon a novel combination of…

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Vibrotactile Stimulation Promotes Embodiment of an Alien Hand in Amputees With Phantom Sensations
Author(s)3: Marco D'Alonzo, Francesco Clemente, Christian Cipriani
Vibrotactile Stimulation Promotes Embodiment of an Alien Hand in Amputees With Phantom Sensations 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract Tactile feedback is essential to intuitive control and to promote the sense of self-attribution of a prosthetic limb. Recent findings showed that amputees can be tricked to experience this embodiment, when synchronous…

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Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces
Author(s)3: Yiwen Wang, Fang Wang, Kai Xu, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng
Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract Reinforcement learning (RL)-based brain machine interfaces (BMIs) enable the user to learn from the environment through interactions to complete the task without desired signals, which is promising for clinical applications. Previous studies exploited…

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Hierarchy of Neural Organization in the Embryonic Spinal Cord: Granger-Causality Graph Analysis of In Vivo Calcium Imaging Data
Author(s)3: Fabrizio De Vico Fallani, Martina Corazzol, Jenna R. Sternberg, Claire Wyart, Mario Chavez
Hierarchy of Neural Organization in the Embryonic Spinal Cord: Granger-Causality Graph Analysis of In Vivo Calcium Imaging Data 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract The recent development of genetically encoded calcium indicators enables monitoring in vivo the activity of neuronal populations. Most analysis of these calcium transients relies on linear regression analysis based on the sensory…

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Running With a Powered Knee and Ankle Prosthesis
Author(s)3: Brian E. Lawson, Michael Goldfarb, Amanda H. Schultz
Running With a Powered Knee and Ankle Prosthesis 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract This paper presents a running control architecture for a powered knee and ankle prosthesis that enables a transfemoral amputee to run with a biomechanically appropriate running gait and to intentionally transition between…

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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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