1,821 results match your criteria IEEE Transactions on Neural Systems and Rehabilitation Engineering [Journal]


Modeling of Brain Tissue Heating Caused by Direct Cortical Stimulation for Assessing the Risk of Thermal Damage.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 8. Epub 2019 Feb 8.

This paper aims to employ numerical simulations to assess the risk of cellular damage during the application of a novel paradigm of electrical stimulation mapping (ESM) used in neurosurgery. The core principle of the paradigm is the use of short, high-intensity and high-frequency stimulation pulses. We developed a complex numerical model and performed coupled electro-thermal transient simulations. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2898253DOI Listing
February 2019

Linear Logistic Regression for Estimation of Lower Limb Muscle Activations.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 8. Epub 2019 Feb 8.

This paper addresses a techique to estimate muscle activity from movement data. Statistical models, such as linear regression (LR) models and artificial neural networks (ANNs), are good candidate estimation techniques. Although an ANN has a high estimation capability, it is frequently in the clinical application that a very small amount of data leads to performance deterioration. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2898207DOI Listing
February 2019

Synergy-Based FES for Post-Stroke Rehabilitation of Upper-Limb Motor Functions.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb;27(2):256-264

Functional electrical stimulation (FES) is capable of activating muscles that are under-recruited in neurological diseases, such as stroke. Therefore, FES provides a promising technology for assisting upper-limb motor functions in rehabilitation following stroke. However, the full benefits of FES may be limited due to lack of a systematic approach to formulate the pattern of stimulation. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2891004DOI Listing
February 2019

A Magnetoencephalography Study of Pediatric Interictal Neuromagnetic Activity Changes and Brain Network Alterations Caused by Epilepsy in the High Frequency(80-1000Hz).

Authors:
Lu Meng

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 12. Epub 2019 Feb 12.

More and more studies propose that high frequency brain signals are promising biomarkers of epileptogenic zone. In this study, our aim is to investigate the neuromagnetic changes and brain network topological alterations during an interictal period at high frequency ranges (80-1000Hz) between healthy controls and epileptic patients with Magnetoencephalography (MEG). We analyzed neuromagnetic activities with accumulated source imaging, and constructed brain network based on graph theory. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2898683DOI Listing
February 2019

Predicting object-mediated gestures from brain activity: an EEG study on gender differences.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 11. Epub 2019 Feb 11.

Recent functional magnetic resonance imaging (fMRI) studies have identified specific neural patterns related to three different categories of movements: intransitive (i.e., meaningful gestures that do not include the use of objects), transitive (i. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2898469DOI Listing
February 2019

A Brain Robot Interaction System by Fusing Human and Machine Intelligence.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 4. Epub 2019 Feb 4.

This paper presents a new brain robot interaction system by fusing human and machine intelligence to improve the real-time control performance. This system consists of a hybrid P300 and SSVEP mode conveying a human being's intention, and the machine intelligence combining a Fuzzy-logic-based image processing algorithm with multi-sensor fusion technology. A subject selects an object of interest via P300, and the classification algorithm transfers the corresponding parameters to Improved Fuzzy Color Extractor (IFCE) for object extraction. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2897323DOI Listing
February 2019
1 Read
3.188 Impact Factor

Long-Term Functionality of Transversal Intraneural Electrodes Is Improved By Dexamethasone Treatment.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 4. Epub 2019 Feb 4.

Neuroprostheses aimed to restore lost functions after a limb amputation are based on the interaction with the nervous system by means of neural interfaces. Among the different designs, intraneural electrodes implanted in peripheral nerves represent a good strategy to stimulate nerve fibers to send sensory feedback and to record nerve signals to control the prosthetic limb. However, intraneural electrodes, as any device implanted in the body, induce a foreign body reaction (FBR) that results in the tissue encapsulation of the device. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2897256DOI Listing
February 2019

Investigating the Reliability and Validity of Three Novel Virtual Reality Environments with Different Approaches to Simulate Wheelchair Maneuvers.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 1. Epub 2019 Feb 1.

Wheelchair manoeuvring has received little attention in the literature despite its importance in mobility and performing activities of daily living and its role in developing secondary injuries for wheelchair users. The focus in this study was technology development with iterative and proof of concept testing: three versions of a wheelchair simulator that were designed and developed for simulating curvilinear wheelchair propulsion in Virtual Reality were tested for their validity and reliability. The wheelchair simulators comprise of a sophisticated wheelchair ergometer in an immersive Virtual Reality environment and are developed for manual wheelchair propulsion. Read More

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https://ieeexplore.ieee.org/document/8632936/
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http://dx.doi.org/10.1109/TNSRE.2019.2896904DOI Listing
February 2019
5 Reads

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 31. Epub 2019 Jan 31.

Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography (PSG) epochs one at a time. In this work, we tackle the task as a sequence-to-sequence classification problem that receives a sequence of multiple epochs as input and classifies all of their labels at once. For this purpose, we propose a hierarchical recurrent neural network named SeqSleepNet1. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2896659DOI Listing
January 2019
1 Read

Improved Kinematics and Motor Control in a Longitudinal Study of a Complex Therapy Movement in Chronic Stroke.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 31. Epub 2019 Jan 31.

Impaired motor control post-stroke is typically measured using clinical assessments employing categorical and subjective scoring. We investigated quantitative kinematic parameters of a complex movement with therapy in chronic stroke. Tri-axial accelerometry of the more-affected arm of 24 patients was recorded during early- (day 2-3) and late- (days 12-14) therapy, and for 13 patients at 6-month follow-up. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2895018DOI Listing
January 2019

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 31. Epub 2019 Jan 31.

In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field of electromyographybased gesture recognition, deep learning algorithms are seldom employed as they require an unreasonable amount of effort from a single person, to generate tens of thousands of examples. This work's hypothesis is that general, informative features can be learned from the large amounts of data generated by aggregating the signals of multiple users, thus reducing the recording burden while enhancing gesture recognition. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2896269DOI Listing
January 2019

A Brain-computer Interface Based on Three-dimensional Stereo Stimuli for Assisting Clinical Object Recognition Assessment in Patients with Disorders of Consciousness.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 31. Epub 2019 Jan 31.

The Coma Recovery Scale-Revised (CRS-R) behavioural scale is commonly used for the clinical evaluation of patients with disorders of consciousness (DOC). However, since DOC patients generally cannot supply stable and efficient behavioural responses to external stimulation, evaluation results based on behavioural scales are not sufficiently accurate. In this study, we proposed a novel brain-computer interface (BCI) based on three-dimensional (3D) stereo audiovisual stimuli to supplement object recognition evaluation in the CRS-R. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2896092DOI Listing
January 2019
3.188 Impact Factor

Environmental Features Recognition for Lower Limb Prostheses Toward Predictive Walking.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 25. Epub 2019 Jan 25.

This study aims to present a robust environmental features recognition system (EFRS) for lower limb prosthesis, which can assist the control of prosthesis by predicting locomotion modes of amputees and estimating environmental features in the following steps. A depth sensor and an inertial measurement unit (IMU) are combined to stabilize the point cloud of environments. Subsequently, the 2D point cloud is extracted from origin 3D point cloud and is classified through a neural network. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2895221DOI Listing
January 2019

Walking Imagery Evaluation in Brain Computer Interfaces via a New Deep Learning Framework.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 25. Epub 2019 Jan 25.

Brain-computer interfaces (BCIs) based on motor imagery (MI) have been widely used to support the rehabilitation of motor functions of upper limbs rather than lower limbs. This is probably because it is more difficult to detect brain activities of lower limb MI. In order to reliably detect the brain activities of lower limbs to restore or improve the walking ability of the disabled, we propose a new paradigm of walking imagery (WI) in a virtual environment (VE) in order to elicit reliable brain activities and achieve a significant training effect. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2895064DOI Listing
January 2019

A Paradigm to Enhance Motor Imagery Using Rubber Hand Illusion Induced by Visuo-tactile Stimulus.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 25. Epub 2019 Jan 25.

Enhancing motor imagery (MI) results in amplified event-related desynchronization (ERD) and is important for MI-based rehabilitation and brain-computer interface (BCI) applications. Many attempts to enhance MI by providing visual guidance have been reported. We believe that the rubber hand illusion (RHI), which induces body ownership over an external object, can provide better guidance to enhance MI; thus, an RHI-based paradigm with motorized moving rubber hand was proposed. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2895029DOI Listing
January 2019

Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 25. Epub 2019 Jan 25.

Data-driven spatial filtering algorithms optimize scores such as the contrast between two conditions to extract oscillatory brain signal components. Most machine learning approaches for filter estimation, however, disregard within-trial temporal dynamics and are extremely sensitive to changes in training data and involved hyperparameters. This leads to highly variable solutions and impedes the selection of a suitable candidate for, e. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2894914DOI Listing
January 2019

Acute Seizure Control Efficacy of Multi-site Closed-loop Stimulation in a Temporal Lobe Seizure Model.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 25. Epub 2019 Jan 25.

Closed-loop electrical stimulation is emerging as a promising neural modulation therapy for refractory epilepsy. However, the efficacy of electrical stimulation is less than optimal and the mechanism of seizure control is still unclear. In this work, we evaluated the acute seizure control efficacy of multi-site closed-loop stimulation (MSCLS) in a rodent model with a custom designed closed-loop neurostimulator. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2894746DOI Listing
January 2019

How expertise changes cortical sources of EEG rhythms and functional connectivity in divers under simulated deep-sea conditions.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 24. Epub 2019 Jan 24.

Although the recent years have witnessed a growing interest in functional connectivity (FC) through brain sources, FC in extreme situations has not been completely elucidated. This study aimed at investigating whether the expertise acquired during deep-sea diving is reflected in FC in a group of professional divers (PDs) compared with a group of new divers (NDs) and how it could affect concentration and stress levels. The source of brain frequency rhythms, derived by electroencephalography (EEG) acquisition in a hyperbaric chamber, were extracted in different frequency bands and the corresponding FC was estimated in order to compare the two groups. Read More

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https://ieeexplore.ieee.org/document/8625501/
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http://dx.doi.org/10.1109/TNSRE.2019.2894848DOI Listing
January 2019
3 Reads

Using the Motion of the Head-Neck as a Joystick for Orientation Control.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 23;27(2):236-243. Epub 2019 Jan 23.

Head-neck interfaces have the potential to command and control orientation tasks when the hand-wrist is not available for use as a joystick. We pose the question in this paper-How well can the head-neck be used to perform orientation tasks when compared to the hand-wrist? Anatomically, the motion of the head-neck is similar to that of the hand-wrist. We hypothesize that the head-neck motion can be as effective as the motion of the hand-wrist to control orientation tasks. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2894517DOI Listing
February 2019

Adaptive Auto-Regressive Proportional Myoelectric Control.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 23;27(2):314-322. Epub 2019 Jan 23.

In proportional myographic control, one can control either position or velocity of movement. Here, we propose to use adaptive auto-regressive filters, so as to gradually adjust between the two. We implemented this in an adaptive system with closed-loop feedback, where both the user and the machine simultaneously attempt to follow a cursor on a 2-D arena. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2894464DOI Listing
February 2019
1 Read

Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 23. Epub 2019 Jan 23.

Existing studies have shown functional brain networks in patients with major depressive disorder (MDD) have abnormal network topology structure. But the methods to construct brain network still exist some issues to be solved. This study is to explore reliable and robust construction methods of functional brain network using different coupling methods and binarization approaches, based on high-density 128-channel resting state EEG recordings from 16 MDD patients and 16 normal controls (NC). Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2894423DOI Listing
January 2019
5 Reads

3D Ultrasound Imaging of Residual Limbs With Camera-Based Motion Compensation.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 23;27(2):207-217. Epub 2019 Jan 23.

Ultrasound is a cost-effective, readily available, and non-ionizing modality for musculoskeletal imaging. Though some research groups have pursued methods that involve submerging the transducer and imaged body segment into a water bath, many limitations remain in regards to acquiring an unloaded volumetric image of an entire human limb in a fast, safe, and adequately accurate manner. A 3D dataset of a limb is useful in several rehabilitative applications including biomechanical modeling of soft tissue, prosthetic socket design, monitoring muscle condition and disease progression, bone health, and orthopedic surgery. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2894159DOI Listing
February 2019
1 Read

Damping Perception During Active Ankle and Knee Movement.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 22;27(2):198-206. Epub 2019 Jan 22.

The mechanical impedance of the leg governs many important aspects of locomotion, including energy storage, transfer, and dissipation between joints. These mechanical properties, including stiffness and damping, have been recently quantified at the ankle joint during walking. However, little is known about the human ability to sense changes in impedance. Read More

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https://ieeexplore.ieee.org/document/8621057/
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http://dx.doi.org/10.1109/TNSRE.2019.2894156DOI Listing
February 2019
2 Reads

The Riemannian Potato Field: A Tool for Online Signal Quality Index of EEG.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 15;27(2):244-255. Epub 2019 Jan 15.

Electroencephalographic (EEG) recordings are contaminated by instrumental, environmental, and biological artifacts, resulting in low signal-to-noise ratio. Artifact detection is a critical task for real-time applications where the signal is used to give a continuous feedback to the user. In these applications, it is therefore necessary to estimate online a signal quality index (SQI) in order to stop the feedback when the signal quality is unacceptable. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2893113DOI Listing
February 2019

An Online Interactive Paradigm for P300 Brain-Computer Interface Speller.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 15;27(2):152-161. Epub 2019 Jan 15.

For each brain-computer interface system, efficiency is a key issue that considers both accuracy and speed. The P300 spellers built upon oddball paradigm are usually less efficient due to the repetitive stimulation of multiple characters for reliable detection. In this paper, based on the online EEG signal, we propose an interactive paradigm for P300 speller to improve its efficiency, primarily focusing within the single characterP300 paradigm. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2892967DOI Listing
February 2019

Development of an EMG-Controlled Serious Game for Rehabilitation.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 21;27(2):283-292. Epub 2019 Jan 21.

A majority of the seven million stroke survivors in the U.S. have hand impairments, adversely affecting performance of a variety of activities of daily living, because of the fundamental role of the hand in performing functional tasks. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2894102DOI Listing
February 2019

Between-Frequency Topographical and Dynamic High-Order Functional Connectivity for Driving Drowsiness Assessment.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 21. Epub 2019 Jan 21.

Previous studies exploring driving drowsiness utilized spectral power and functional connectivity without considering between-frequency and more complex synchronizations. To complement such lacks, we explored inter-regional synchronizations based on the topographical and dynamic properties between frequency bands using high-order functional connectivity (HOFC) and envelope correlation. We proposed the dynamic interactions of HOFC, associated-HOFC and a global metric measuring the aggregated effect of the functional connectivity. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2893949DOI Listing
January 2019

Neural Decoding for Macaque's Finger Position?Convolutional Space Model.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 21. Epub 2019 Jan 21.

In this paper, we study how to use the number of spike signals in a macaque's motor cortex to estimate the position of its finger movement. First, we analyze the time correlation of a traditional state space model (SSM) and derive a convolution space model (CSM) to decode the movement position of the macaque finger. Compared with the traditional model, the model can correlate the current moment state with the previous moment. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2893406DOI Listing
January 2019

Spatial-Temporal Discriminative Restricted Boltzmann Machine for Event-Related Potential Detection and Analysis.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 14;27(2):139-151. Epub 2019 Jan 14.

Detecting event-related potential (ERP) is a challenging problem because of its low signal-to-noise ratio and complex spatial-temporal features. Conventional detection methods usually rely on the ensemble averaging technique, which may eliminate subtle but important information in ERP signals and lead to poor detection performance. Inspired by the good performance of discriminative restricted Boltzmann machine (DRBM) in feature extraction and classification, we propose a spatial-temporal DRBM (ST-DRBM) to extract spatial and temporal features for ERP detection. Read More

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https://ieeexplore.ieee.org/document/8611394/
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http://dx.doi.org/10.1109/TNSRE.2019.2892960DOI Listing
February 2019
3 Reads

Selecting a Best Compromise Direction for a Powered Wheelchair Using PROMETHEE.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 14;27(2):228-235. Epub 2019 Jan 14.

Research is described that determines the direction that a powered wheelchair will take, using the preference ranking organization method for enrichment of evaluations II (PROMETHEE II). This is the first time that this sort of decision making has been used in this type of application. A user suggests a desired direction and speed, and the decision-making system suggests a safe direction for a wheelchair. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2892587DOI Listing
February 2019

Closed-Loop Control of the Centre of Pressure in Post-Stroke Patients With Balance Impairments.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 11;27(2):265-274. Epub 2019 Jan 11.

When a lightly touched surface is moved according to a closed-loop control law, it has been shown in young adults that the centre of pressure (CoP) can be displaced in a controllable way without the conscious cooperation of participants. In this closed-loop paradigm, the surface velocity was continuously adjusted according to the CoP position. Since the closed-loop control of the CoP does not require the participant's voluntary cooperation, it could be of interest for the development of innovative biofeedback devices in balance rehabilitation. Read More

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https://ieeexplore.ieee.org/document/8610313/
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http://dx.doi.org/10.1109/TNSRE.2019.2892177DOI Listing
February 2019
2 Reads

Friction in Passive Tactile Perception Induces Phase Coherency in Late Somatosensory Single Trial Sequences.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 10;27(2):129-138. Epub 2019 Jan 10.

Event related potentials represent a noninvasive means for studying sensory and cognitive processes that occur in response to particular stimuli. Here, we report on a phase measure for estimating single trial interaction of late somatosensory potentials (LSPs) following a tribological well defined mechanical stimulation of the human fingertip. Stimuli are presented via a programmable Braille-display with actively switchable pins which was slid along the apex of the passive fingertip, i. Read More

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https://ieeexplore.ieee.org/document/8607119/
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http://dx.doi.org/10.1109/TNSRE.2019.2891915DOI Listing
February 2019
1 Read

Introducing the Joint EEG-Development Inference (JEDI) Model: A Multi-way, Data Fusion Approach for Estimating Paediatric Developmental Scores Via EEG.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 10. Epub 2019 Jan 10.

Accounting for developmental changes in children is a key consideration for adapting neurorehabilitation technologies to paediatric populations. Using well-established clinical tests and questionnaires can be resource and time intensive. With many data-driven rehabilitation approaches relying on EEG data, a means to rapidly assess and infer developmental status of children directly from these recordings could be critical. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2891827DOI Listing
January 2019

Feasibility of Incorporating Test-Retest Reliability and Model Diversity in Identification of Key Neuromuscular Pathways During Head Position Tracking.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 10;27(2):275-282. Epub 2019 Jan 10.

To study the complex neuromuscular control pathways in human movement, biomechanical parametric models and system identification methods are employed. Although test-retest reliability is widely used to validate the outcomes of motor control tasks, it was not incorporated in system identification methods. This study investigates the feasibility of incorporating test-retest reliability in our previously published method of selecting sensitive parameters. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2891525DOI Listing
February 2019
1 Read

Decoding Native Cortical Representations for Flexion and Extension at Upper Limb Joints Using Electrocorticography.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 7;27(2):293-303. Epub 2019 Jan 7.

Brain-machine interface (BMI) researchers have traditionally focused on modeling endpoint reaching tasks to provide the control of neurally driven prosthetic arms. Most previous research has focused on achieving an endpoint control through a Cartesian-coordinate-centered approach. However, a joint-centered approach could potentially be used to intuitively control a wide range of limb movements. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2891362DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375785PMC
February 2019

Analysis of Light Propagation on Physiological Properties of Neurons for Nanoscale Optogenetics.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 7;27(2):108-117. Epub 2019 Jan 7.

Miniaturization of implantable devices is an important challenge for future brain-computer interface applications, and in particular for achieving precise neuron stimulation. For stimulation that utilizes light, i.e. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2891271DOI Listing
February 2019

Epileptic Seizure Suppression by Focal Brain Cooling With Recirculating Coolant Cooling System: Modeling and Simulation.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 7;27(2):162-171. Epub 2019 Jan 7.

A focal brain cooling system for treatment of refractory epilepsy that is implantable and wearable may permit patients with this condition to lead normal daily lives. We have developed such a system for cooling of the epileptic focus by delivery of cold saline to a cooling device that is implanted cranially. The outflow is pumped for circulation and cooled by a Peltier device. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2891090DOI Listing
February 2019

Automatically Evaluating Balance: A Machine Learning Approach.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 4;27(2):179-186. Epub 2019 Jan 4.

Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (PTs). In this paper, we analyze the feasibility of using trunk sway data and machine learning (ML) techniques to automatically evaluate balance, providing accurate assessments outside of the clinic. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2891000DOI Listing
February 2019

Automatic Sleep Stage Classification Based on Subthalamic Local Field Potentials.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 1;27(2):118-128. Epub 2019 Jan 1.

Deep brain stimulation (DBS) is an established treatment for patients with Parkinson's disease (PD). Sleep disorders are common complications of PD and affected by subthalamic DBS treatment. To achieve more precise neuromodulation, chronicsleepmonitoringand closed-loop DBS toward sleep-wake cycles could potentially be utilized. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2890272DOI Listing
February 2019
2 Reads

Cortico-Muscular Coherence Modulated by High-Definition Transcranial Direct Current Stimulation in People With Chronic Stroke.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 27;27(2):304-313. Epub 2018 Dec 27.

High-definition transcranial direct current stimulation (HD-tDCS) is a potential neuromodulation apparatus for stroke rehabilitation. However, its modulatory effects in stroke subjects is still not well understood. In this paper, the offline modulatory effects of HD-tDCS on the ipsilesional primary motor cortex were investigated by performing wrist isometric contraction tasks before and after HD-tDCS in eleven unilateral chronic stroke subjects using a synchronized HD-tDCS and electroencephalogram/electromyography measurement system. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2890001DOI Listing
February 2019

Certainty-Based Reduced Sparse Solution for Dense Array EEG Source Localization.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 25;27(2):172-178. Epub 2018 Dec 25.

The EEG source localization is an ill-posed problem. It involves estimation of the sources which outnumbers the number of measurements. For a given measurement at a given time all sources are not active this makes the problem as sparse inversion problem. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2889719DOI Listing
February 2019

EEG Signals-Based Longitudinal Control System for a Brain-Controlled Vehicle.

Authors:
Yun Lu Luzheng Bi

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 24;27(2):323-332. Epub 2018 Dec 24.

Directly using brain signals to drive a vehicle may not only help persons with disabilities to regain driving ability but also provide a new alternative way for healthy people to control a vehicle. In this paper, we propose a new longitudinal control system based on electroencephalogram signals for brain-controlled vehicles (BCVs) by combining a user interface, a brain-computer interface (BCI) system, and a longitudinal control module. Driver-in-the-loop experiments were conducted by using two driving tests (i. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2889483DOI Listing
February 2019

Gait and Dynamic Balance Sensing Using Wearable Foot Sensors.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 24;27(2):218-227. Epub 2018 Dec 24.

Remote monitoring of gait performance offers possibilities for objective evaluation and tackling impairment in motor ability, gait, and balance in populations, such as elderly, stroke, multiple sclerosis, and Parkinson's. This requires a wearable and unobtrusive system capable of estimating ambulatory gait and balance measures, such as the extrapolated center of mass (XCoM) and dynamicmargin of stability. These estimations require the knowledge of 3-D forces and moments (F&M) and accurate foot positions. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2885309DOI Listing
February 2019
1 Read

A Weighted Speaker-Specific Confusion Transducer-Based Augmentative and Alternative Speech Communication Aid for Dysarthric Speakers.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 17;27(2):187-197. Epub 2018 Dec 17.

An augmentative and alternative speech communication (AASC) aid comprises a speech recognition system and a speech synthesis system. The main challenge in developing such an aid for dysarthric speakers lies in handling errors in the text derived from the recognition system. These errors (substitution, deletion, and insertion) may be due to inability of a dysarthric speaker to utter certain phones (articulatory error) or due to inaccuracy of the models trained (modeling error). Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2887089DOI Listing
February 2019

The Effect of Manual Wheelchair Propulsion Speed on Users' Shoulder Muscle Coordination Patterns in Time-Frequency and Principal Component Analysis.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 14;27(1):60-65. Epub 2018 Dec 14.

A rehabilitation program for wheelchair users should be based on a thorough understanding of shoulder muscle coordination patterns. The objective of the study was to quantify the extent to which the muscle electromyographic (EMG) patterns vary with propulsion speed. A total of 11 wheelchair-dependent participants with a diagnosis of spina bifida or T6-T12 spinal cord injury volunteered for the study. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2886826DOI Listing
January 2019

Motor Unit Identification From High-Density Surface Electromyograms in Repeated Dynamic Muscle Contractions.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 17;27(1):66-75. Epub 2018 Dec 17.

We describe the method for identification of motor unit (MU) firings from high-density surface electromyograms (hdEMG), recorded during repeated dynamic muscle contractions. A new convolutive data model for dynamic hdEMG is presented, along with the pulse-to-noise ratio (PNR) metric for assessment of MU identification accuracy and analysis of the impact of MU action potential (MUAP) changes in dynamic muscle contractions on MU identification. We tested the presented methodology on signals from biceps brachii, vastus lateralis, and rectus famoris muscles, all during different speeds of dynamic contractions. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2885283DOI Listing
January 2019

A finite element solution of the forward problem in EEG for multipolar sources.

Authors:
L Beltrachini

IEEE Trans Neural Syst Rehabil Eng 2018 Dec 13. Epub 2018 Dec 13.

Multipolar source models have been presented in the context of electro/magnetoencephalography (E/MEG) to compensate for the limitations of the classical equivalent current dipole to represent realistic generators of brain activity. Although there exist several reports accounting for the advantages of multipolar components over single dipoles, there is still no available numerical implementation in fully-personalised scenarios. In this paper, we present, for the first time, a finite element framework for simulating EEG signals generated by multipolar current sources in individualised, heterogeneous, and anisotropic head models. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2886638DOI Listing
December 2018

Connectivity and Centrality Characteristics of the Epileptogenic Focus Using Directed Network Analysis.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 11;27(1):22-30. Epub 2018 Dec 11.

Accurate epileptogenic focus localization is required prior to surgical resection of brain tissue for the treatment of patients with antiepileptic drug-resistant (intractable) epilepsy. This clinical need is only partially fulfilled through a subjective, and at times inconclusive, the evaluation of the recorded electroencephalogram (EEG) at seizures' onset (the so-called gold standard for focus localization in epilepsy). We herein present a novel method of multivariate analysis of the EEG that appears to be very promising for an objective and robust localization of the epileptogenic focus at seizures' onset. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2886211DOI Listing
January 2019
3.188 Impact Factor

Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Reciprocal Activation, Coactivation, and Implications for Direct Neural Control of Powered Lower Limb Prostheses.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 7;27(1):85-95. Epub 2018 Dec 7.

Residual ankle muscles (i.e., previously antagonistic ankle muscles) of transtibial amputees are a potential source for continuous feedforward control of powered ankle prostheses using proportional myoelectric control. Read More

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http://dx.doi.org/10.1109/TNSRE.2018.2885641DOI Listing
January 2019
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Correlates of Residual Limb Pain: From Residual Limb Length and Usage to Metabolites and Activity in Secondary Somatosensory Cortex.

IEEE Trans Neural Syst Rehabil Eng 2019 Jan 5;27(1):96-104. Epub 2018 Dec 5.

Most recent studies attribute residual limb pain to peripheral pathological changes of the stump. However, in this paper, we focus on its associations with the residual limb length, usage, as well as the metabolic and functional alterations of the brain. The secondary somatosensory cortex (S2), one important area involved in pain intensity discrimination, was selected as the region of interest. Read More

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https://ieeexplore.ieee.org/document/8561230/
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http://dx.doi.org/10.1109/TNSRE.2018.2885146DOI Listing
January 2019
1 Read
3.188 Impact Factor