Articles

Stability during Stairmill Ascent with Upward and Downward Applied Forces on the Pelvis

Author(s)3: Sunil K. Agrawal, Biing-Chwen Chang
Stability during Stairmill Ascent with Upward and Downward Applied Forces on the Pelvis 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

This study investigates how external vertical forces on the pelvis change the stability of stairmill climbing and other gait parameters such as kinematics and muscle activity. We use a Tethered…

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Eye Blink Artifact Detection with Novel Optimized Multi-dimensional Electroencephalogram Features

Author(s)3: Feng Gao, Tiejia Jiang, Dinghan Hu, Jiuwen Cao, Jianhui Wang
Eye Blink Artifact Detection with Novel Optimized Multi-dimensional Electroencephalogram Features 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Accurate eye blink artifact detection is essential for electroencephalogram (EEG) analysis and auxiliary analysis of nervous system diseases, especially in the presence of the frontal epileptiform discharges. In this paper,…

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Continuous Gait Phase Estimation using LSTM for Robotic Transfemoral Prosthesis Across Walking Speeds

Author(s)3: Pilwon Hur, Woolim Hong, Jinwon Lee
Continuous Gait Phase Estimation using LSTM for Robotic Transfemoral Prosthesis Across Walking Speeds 507 183 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

User gait phase estimation plays a key role for the seamless control of the lower-limb robotic assistive devices (e.g., exoskeletons or prostheses) during ambulation. To achieve this, several studies have…

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Neural Dynamics for Facilitating ADHD Diagnosis in Preschoolers: Central and Parietal Delta Synchronization in the Kiddie Continuous Performance Test

Author(s)3: Li-Wei Ko, Cheng-Hsiu Lin, Dar-Shong Lin, Yang Chang, Chih-Hao Chang, I-Chun Chen
Neural Dynamics for Facilitating ADHD Diagnosis in Preschoolers: Central and Parietal Delta Synchronization in the Kiddie Continuous Performance Test 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

The present study aimed to characterize children at risk of attention-deficit/hyperactivity disorder (ADHD) during preschool age and provide early intervention. The continuous performance test (CPT) and electroencephalography (EEG) can contribute…

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Self-feeding kinematics in an ecological setting: typically developing children and children with cerebral palsy

Author(s)3: Patrice L. Weiss, Jason Friedman, Tal Keren-Capelovitch, Tal Krasovsky
Self-feeding kinematics in an ecological setting: typically developing children and children with cerebral palsy 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Assessment of self-feeding kinematics is seldom performed in an ecological setting. In preparation for development of an instrumented spoon for measurement of self-feeding in children with cerebral palsy (CP), the…

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Seizure Onset Detection Using Empirical Mode Decomposition and Common Spatial Pattern

Author(s)3: Chaosong Li, Weidong Zhou, Guoyang Liu, Yanli Zhang, Minxing Geng, Feng-Zhen Liu, Shang Wang, Wei Shang
Seizure Onset Detection Using Empirical Mode Decomposition and Common Spatial Pattern 430 478 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Automatic seizure onset detection plays an important role in epilepsy diagnosis. In this paper, a novel seizure onset detection method is proposed by combining empirical mode decomposition (EMD) of long-term…

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Characterization of a Benchmark Database for Myoelectric Movement Classification

Author(s)3: Manfredo Atzori, Arjan Gijsberts, Ilja Kuzborskij, Simone Elsig, Anne-Gabrielle Mittaz Hager, Olivier Deriaz, Claudio Castellini, Henning Müller, Barbara Caputo
Characterization of a Benchmark Database for Myoelectric Movement Classification 532 302 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

In this paper, we characterize the Ninapro database and its use as a benchmark for hand prosthesis evaluation. The database is a publicly available resource that aims to support research…

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Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces

Author(s)3: Wei Gao, Tianyou Yu, Jin-Gang Yu, Zhenghui Gu, Kendi Li, Yong Huang, Yuanqing Li, Zhu Liang Yu
Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces 540 430 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

A brain-computer interface (BCI) measures and analyzes brain activity and converts this activity into computer commands to control external devices. In contrast to traditional BCIs that require a subject-specific calibration…

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Hindsight Experience Replay Improves Reinforcement Learning for Control of a MIMO Musculoskeletal Model of the Human Arm

Author(s)3: Douglas C. Crowder, Robert F. Kirsch, Jessica Abreu
Hindsight Experience Replay Improves Reinforcement Learning for Control of a MIMO Musculoskeletal Model of the Human Arm 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

High-level spinal cord injuries often result in paralysis of all four limbs, leading to decreased patient independence and quality of life. Coordinated functional electrical stimulation (FES) of paralyzed muscles can…

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Sharpened and mechanically durable carbon fiber electrode arrays for neural recording

Author(s)3: Cynthia A. Chestek, Tim M. Bruns, John P. Seymour, Zhonghua Ouyang, Elizabeth C. Bottorff, Julianna M. Richie, Ahmad A. Jiman, Joshua E. Woods, Elissa J. Welle
Sharpened and mechanically durable carbon fiber electrode arrays for neural recording 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Bioelectric medicine treatments target disorders of the nervous system unresponsive to pharmacological methods. While current stimulation paradigms effectively treat many disorders, the underlying mechanisms are relatively unknown, and current neuroscience…

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