Featured Articles

Robot-Based Assessment of HIV-Related Motor and Cognitive Impairment for Neurorehabilitation 448 227 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Robot-Based Assessment of HIV-Related Motor and Cognitive Impairment for Neurorehabilitation
Author(s)3: Kevin D. Bui, Carol A. Wamsley, Frances S. Shofer, Dennis L. Kolson, Michelle J. Johnson

There is a pressing need for strategies to slow or treat the progression of functional decline in people living with HIV. This paper explores a novel rehabilitation robotics approach to…

read more
Feasibility of Augmenting Ankle Exoskeleton Walking Performance With Step Length Biofeedback in Individuals With Cerebral Palsy 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Feasibility of Augmenting Ankle Exoskeleton Walking Performance With Step Length Biofeedback in Individuals With Cerebral Palsy
Author(s)3: Ying Fang, Zachary F. Lerner

Most people with cerebral palsy (CP) suffer from impaired walking ability and pathological gait patterns. Seeking to improve the effectiveness of gait training in this patient population, this study developed…

read more
VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel
Author(s)3: Mohammad Shahbakhti, Matin Beiramvand, Mojtaba Nazari, Anna Broniec-Wójcik, Piotr Augustyniak, Ana Santos Rodrigues, Michal Wierzchon, Vaidotas Marozas

Objective: Recent advances in development of low-cost single-channel electroencephalography (EEG) headbands have opened new possibilities for applications in health monitoring and brain-computer interface (BCI) systems. These recorded EEG signals, however,…

read more
Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring 526 336 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring
Author(s)3: Aleš Procházka, Ondřej Dostál, Pavel Cejnar, Hagar Ibrahim Mohamed, Zbyšek Pavelek, Martin Vališ, Oldřich Vyšata

Ataxic gait monitoring and assessment of neurological disorders belong to important multidisciplinary areas that are supported by digital signal processing methods and machine learning tools. This paper presents the possibility…

read more
Vibration Stimulation as a Non-Invasive Approach to Monitor the Severity of Meniscus Tears 983 231 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Vibration Stimulation as a Non-Invasive Approach to Monitor the Severity of Meniscus Tears
Author(s)3: Mohsen Safaei, Nicholas B. Bolus, Daniel C. Whittingslow, Hyeon Ki Jeong, Alper Erturk, Omer T. Inan

Musculoskeletal disorders and injuries are one of the most prevalent medical conditions across age groups. Due to a high load-bearing function, the knee is particularly susceptible to injuries such as…

read more
Symbitron Exoskeleton: Design, Control, and Evaluation of a Modular Exoskeleton for Incomplete and Complete Spinal Cord Injured Individuals 901 625 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Symbitron Exoskeleton: Design, Control, and Evaluation of a Modular Exoskeleton for Incomplete and Complete Spinal Cord Injured Individuals
Author(s)3: C. Meijneke, G. van Oort, V. Sluiter, E. van Asseldonk, N. L. Tagliamonte, F. Tamburella, I. Pisotta, M. Masciullo, M. Arquilla, M. Molinari, A.R. Wu, F. Dzeladini, A. J. Ijspeert, H. Van Der Kooij

In this paper, we present the design, control, and preliminary evaluation of the Symbitron exoskeleton, a lower limb modular exoskeleton developed for people with a spinal cord injury. The mechanical…

read more
Performance Improvement of Near-Infrared Spectroscopy-based Brain-Computer Interfaces Using Transcranial Near-Infrared Photobiomodulation with the Same Device 548 128 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Performance Improvement of Near-Infrared Spectroscopy-based Brain-Computer Interfaces Using Transcranial Near-Infrared Photobiomodulation with the Same Device
Author(s): Jinuk Kwon, Chang-Hwan Im

Transcranial near-infrared photobiomodulation (tNIR-PBM) can modulate physiological characteristics of the human brain, such as the cerebral blood flow and oxidative metabolism. Here, we investigated whether the performance of near-infrared spectroscopy (NIRS)-based brain-computer interfaces (BCIs) can be improved by tNIR-PBM applied to the prefrontal cortex with the same NIRS device.

read more
Non-invasive Ring Electrode with a Wireless Electrical Recording and Stimulating System for Monitoring Preterm Labor 546 713 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Non-invasive Ring Electrode with a Wireless Electrical Recording and Stimulating System for Monitoring Preterm Labor
Author(s): Yi Jae Lee, Changhyuk Lee, Eun Jin Wang, Dmytro Kotov, Hee Youn Kim, Jeong Ho Hwang, Ki Hoon Ahn, Soo Hyun Lee

Preterm labor and birth are the primary causes of neonatal morbidities and mortalities. The early detection and treatment of preterm uterine muscular contraction are crucial for the management of preterm labor. In this work, a ring electrode with a wireless electrical recording and stimulating (RE-WERS) system was designed, fabricated, and investigated for the noninvasive monitoring of uterine contraction/relaxation as a diagnostic and therapeutic tool for preterm labor.

read more
Improved High-density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural NetworkT 553 217 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Improved High-density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural NetworkT
Author(s): Le Wu, Xu Zhang, Kun Wang, Xiang Chen, Xun Chen

The objective of this work is to develop a robust method for myoelectric control towards alleviating the in-terference of electrode shift. Methods: In the proposed method, a preprocessing approach was first performed to convert high-den-sity surface electromyogram (HD-sEMG) signals into a series of images, and the electrode shift appeared as pixel shift in these im-ages.

read more
Search this website