Featured Articles

Magnetic Measurement of Electrically Evoked Muscle Responses With Optically Pumped Magnetometers

Author(s)3: Wilhelm Schulte-Mattler, Eric Elzenheimer, Gerhard Schmidt, Helmut Laufs
Magnetic Measurement of Electrically Evoked Muscle Responses With Optically Pumped Magnetometers 1535 782 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Electroneurography has been an essential method for assessing peripheral nerve disorders for decades. During this procedure, a nerve is briefly electrically excited, and nerve conduction properties are identified by indirect…

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Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task

Author(s)3: Brandon Oubre, Jean-Francois Daneault, Hee-Tae Jung, Kallie Whritenour, Jose Garcia Vivas Miranda, Joonwoo Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee
Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task 1798 500 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Upper-limb paresis is the most common motor impairment post stroke. Current solutions to automate the assessment of upper-limb impairment impose a number of critical burdens on patients and their caregivers…

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Inertial Sensor-Based Centripetal Acceleration as a Correlate for Lateral Margin of Stability During Walking and Turning

Author(s)3: Peter C. Fino, Fay B. Horak, Carolin Curtze
Inertial Sensor-Based Centripetal Acceleration as a Correlate for Lateral Margin of Stability During Walking and Turning 1535 648 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

There is growing interest in using inertial sensors to continuously monitor gait during free-living mobility. Inertial sensors can provide many gait measures, but they struggle to capture the spatial stability…

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Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering

Author(s)3: Ji-Hoon Jeong, No-Sang Kwak, Seong-Whan Lee, Cuntai Guan
Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering 1610 928 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

An important challenge in developing a movement-related cortical potential (MRCP)-based brain-machine interface (BMI) is an accurate decoding of the user intention for real-world environments. However, the performance remains insufficient for…

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Modelling and Design of the Automatic Stance Phase Lock (ASPL) Knee Joint Control Mechanism for Paediatric Users with Transfemoral Amputations

Author(s)3: Jan Andrysek, Calvin C. Ngan
Modelling and Design of the Automatic Stance Phase Lock (ASPL) Knee Joint Control Mechanism for Paediatric Users with Transfemoral Amputations 820 548 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

The 2-axes Automatic Stance Phase Lock (ASPL) stance control mechanism has been demonstrated to improve adult amputees’ mobility but has yet to be developed for the paediatric population. The overall…

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Assessing Neural Compensation with Visuospatial Working Memory Load using Near-Infrared Imaging

Author(s)3: Nadira Nordin, Esther Gunaseli M. Ebenezer, Pui See Chin, Hung Loong Yip, Sook Ching Chan, Kah Hui Yap, Boon Tang Tong, Masashi Kiguchi, Wei Chun Ung, Cheng-Kai Lu
Assessing Neural Compensation with Visuospatial Working Memory Load using Near-Infrared Imaging 849 763 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Alzheimer’s disease is characterized by the progressive deterioration of cognitive abilities particularly working memory while mild cognitive impairment (MCI) represents its prodrome. It is generally believed that neural compensation is…

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Utilizing high-density electroencephalography and motion capture technology to characterize sensorimotor integration while performing complex actions

Author(s)3: Edward G. Freedman, John J. Foxe, Kevin A. Mazurek, Nicholas Abraham, David Richardson
Utilizing high-density electroencephalography and motion capture technology to characterize sensorimotor integration while performing complex actions 913 548 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Studies of sensorimotor integration often use sensory stimuli that require a simple motor response, such as a reach or a grasp. Recent advances in neural recording techniques, motion capture technologies,…

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Determining User Intent of Partly Dynamic Shoulder Tasks in Individuals with Chronic Stroke using Pattern Recognition

Author(s)3: Joseph V. Kopke, Levi J. Hargrove, Michael D. Ellis
Determining User Intent of Partly Dynamic Shoulder Tasks in Individuals with Chronic Stroke using Pattern Recognition 1009 775 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Stroke remains the leading cause of long-term disability in the US. Although therapy can achieve limited improvement of paretic arm use and performance, weakness and abnormal muscle synergies—which cause unintentional…

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Effect of Amplitude and Number of Repetitions of the Perturbation on System Identification of Human Balance Control During Stance

Author(s)3: I. M. Schut, J. H. Pasma, J. C. De Veij Mestdagh, H. Van Der Kooij, A. C. Schouten
Effect of Amplitude and Number of Repetitions of the Perturbation on System Identification of Human Balance Control During Stance 1883 1708 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

     To unravel the underlying mechanisms of human balance control, system identification techniques are applied in combination with dedicated perturbations, like support surface translations. However, it remains unclear what the…

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Proof of Concept of an Assistive Robotic Arm Control Using Artificial Stereovision and Eye-Tracking

Author(s)3: Yann-Seing Law-Kam Cio, Maxime Raison, Cédric Leblond Ménard, Sofiane Achiche
Proof of Concept of an Assistive Robotic Arm Control Using Artificial Stereovision and Eye-Tracking 820 470 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    Assistive robotic arms have become popular to help users with upper limb disabilities achieve autonomy in their daily tasks, such as drinking and grasping objects in general. Usually, these…

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