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Adaptive Electrode Calibration Method based on Muscle Core Activation Regions and Its Application in Myoelectric Pattern Recognition 471 356 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Adaptive Electrode Calibration Method based on Muscle Core Activation Regions and Its Application in Myoelectric Pattern Recognition
Author(s): Ruochen Hu, Xiang Chen, Xu Zhang, Xun Chen

To reduce the bad effect of electrode shifts on myoelectric pattern recognition, this paper presents an adaptive electrode calibration method based on core activation regions of muscles.

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Improving the Intelligibility of Speech for Simulated Electric and Acoustic Stimulation Using Fully Convolutional Neural Networks 1019 367 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Improving the Intelligibility of Speech for Simulated Electric and Acoustic Stimulation Using Fully Convolutional Neural Networks
Author(s): Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Tao-Wei Wang, Szu-Wei Fu, Xugan Lu, Hsin-Min Wang, Yu Tsao

Combined electric and acoustic stimulation (EAS) has demonstrated better speech recognition than conventional cochlear implant (CI) and yielded satisfactory performance under quiet conditions. However, when noise signals are involved, both the electric signal and the acoustic signal may be distorted, thereby resulting in poor recognition performance.

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Multi-directional Ankle Impedance During Standing Postures 592 1000 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Multi-directional Ankle Impedance During Standing Postures
Author(s): Guilherme A. Ribeiro, Lauren N. Knop, Mo Rastgaar

In this study, we estimated the multi-directional ankle mechanical impedance in two degrees-of-freedom (DOF) during standing, and determined how the stiffness, damping, and inertia vary with ankle angle and ankle torque at different postures.

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Inter-and Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-based BCIs 1000 920 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Inter-and Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-based BCIs
Author(s): Chi Man Wong, Ze Wang, Boyu Wang, Ka Fai Lao, Agostinho Rosa, Peng Xu, Tzyy-Ping Jung, C. L. Philip Chen, Feng Wan

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) that can deliver high information transfer rate (ITR) usually require subject’s calibration data to learn the class-and subject-specific model parameters (e.g. the spatial filters and SSVEP templates). Normally, the amount of the calibration data for learning is proportional to the number of classes (or visual stimuli), which could be huge and consequently lead to a time-consuming calibration.

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Optimal Control Perspective on Parkinson’s Disease: Increased Delay Between State Estimator and Controller Produces Tremor 770 1000 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Optimal Control Perspective on Parkinson’s Disease: Increased Delay Between State Estimator and Controller Produces Tremor
Author(s): Christopher R. Kelley, Jeffrey L. Kauffman

Parkinson’s disease produces tremor in a large subset of patients despite generally inhibiting movement. The pathophysiology of parkinsonian tremor is unclear, leading to uncertainty in how and why treatments reduce tremor with varying effectiveness. Models for parkinsonian tremor attempt to explain the underlying principles of tremor generation in the central nervous system, often focusing on neural activity of specific substructures.

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Topological Network Analysis of Early Alzheimer’s Disease Based on Resting-State EEG 1000 370 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Topological Network Analysis of Early Alzheimer’s Disease Based on Resting-State EEG
Author(s): Feng Duan, Zihao Huang, Zhe Sun, Yu Zhang, Qibin Zhao, Andrzej Cichocki, Zhenglu Yang, Jordi Solé-Casals

Previous studies made progress in the early diagnosis of Alzheimer’s disease (AD) using electroencephalography (EEG) without considering EEG connectivity. To fill this gap, we explored significant differences between early AD patients and controls based on frequency domain and spatial properties using functional connectivity in mild cognitive impairment (MCI) and mild AD datasets.

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Toward Predicting Infant Developmental Outcomes from Day-Long Inertial Motion Recordings 1000 964 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Toward Predicting Infant Developmental Outcomes from Day-Long Inertial Motion Recordings
Author(s): Naomi T. Fitter, Rebecca Funke, José Carlos Pulido, Maja J. Matarić, Beth A. Smith

As improvements in medicine lower infant mortality rates, more infants with neuromotor challenges survive past birth. The motor, social, and cognitive development of these infants are closely interrelated, and challenges in any of these areas can lead to developmental differences.

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Dynamic Bayesian Adjustment of Dwell Time for Faster Eye Typing 1000 733 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Dynamic Bayesian Adjustment of Dwell Time for Faster Eye Typing
Author(s): Jimin Pi, Paul A. Koljonen, Yong Hu, Bertram E. Shi

Eye typing is a hands-free method of human computer interaction, which is especially useful for people with upper limb disabilities. Users select a desired key by gazing at it in an image of a keyboard for a fixed dwell time. There is a tradeoff in selecting the dwell time; shorter dwell times lead to errors due to unintentional selections, while longer dwell times lead to a slow input speed.

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Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands? 786 1000 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands?
Author(s): Morten B. Kristoffersen, Andreas W. Franzke, Corry K. van der Sluis, Raoul M. Bongers, Alessio Murgia

When evaluating methods for machine-learning controlled prosthetic hands, able-bodied participants are often recruited, for practical reasons, instead of participants with upper limb absence (ULA). However, able-bodied participants have been shown to often perform myoelectric control tasks better than participants with ULA.

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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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