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Source: IEE Transactions on Neural Systems and Rehabilitation Engineering
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Total 279 results found since Jan 2013.
Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
The development of neurostimulation techniques to evoke motor patterns is an active area of research. It serves as a crucial experimental tool to probe computation in neural circuits, and has applications in neuroprostheses used to aid recovery of motor function after stroke or injury to the nervous system. There are two important challenges when designing algorithms to unveil and control neurostimulation-to-motor correspondences, thereby linking spatiotemporal patterns of neural stimulation to muscle activation: (1) the exploration of motor maps needs to be fast and efficient (exhaustive search is to be avoided for clinic...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - May 31, 2020 Category: Neuroscience Source Type: research
Effects of Varying Plantarflexion Stiffness of Ankle-Foot Orthosis on Achilles Tendon and Propulsion Force During Gait
An ankle-foot orthosis (AFO) with a plantarflexion resistance function, improves post-stroke gait. An AFO with a plantarflexion resistance function not only affects the first rocker function and the weight acceptance but also the late stance phase. Achilles tendon extension is important for ankle joint function and for forward propulsion during the late stance phase; however, the effect of an AFO with a plantarflexion resistance function on the Achilles tendon is unclear. The purpose of this study was to investigate the effect of plantarflexion resistance on the extension of the Achilles tendon and the forward-propulsive f...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - October 1, 2020 Category: Neuroscience Source Type: research
BEAGLE—A Kinematic Sensory System for Objective Hand Function Assessment in Technology-Mediated Rehabilitation
We present a hand functions assessment system (BEAGLE) for kinematic tracking of hand and finger movements, envisioned as a technology-mediated rehabilitation tool. The system is custom-designed for fast and easy placement on an impaired hand (spastic or flaccid), featuring inertial sensors integrated into simple finger caps and a hand strap. An algorithm for a range of motion (ROM) estimation was implemented to provide an objective assessment of hand functions. The efficacy and feasibility of the BEAGLE system were examined in a pilot clinical study performed with ten stroke survivors in the subacute phase. Participants r...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 14, 2021 Category: Neuroscience Source Type: research
Clinical Test of a Wearable, High DOF, Spring Powered Hand Exoskeleton (HandSOME II)
In previous work, we developed an exoskeleton, Hand Spring Operated Movement Enhancer (HandSOME II), that allows movement at 15 hand degrees of freedom (DOF). Eleven separate elastic elements can be added to customize the extension assistance for individuals with impaired hand function. In this pilot study of twelve individuals with stroke, we measured the immediate improvements in range of motion (ROM) and upper extremity function when wearing the device. Index finger ROM was significantly improved at the PIP (p=.01) and DIP joints (p=.026), and the max extension was significantly increased at the MCP (p�...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 17, 2021 Category: Neuroscience Source Type: research
A Center of Mass Estimation and Control Strategy for Body-Weight-Support Treadmill Training
Walking disorders are common in post-stroke. Body weight support (BWS) systems have been proposed and proven to enhance gait training systems for recovering in individuals with hemiplegia. However, the fixed weight support and walking speed increase the risk of falling and decrease the active participation of the subjects. This paper proposes a strategy to enhance the efficiency of BWS treadmill training. It consists in regulating the height of the BWS system to track the height of the subject’s center of mass (CoM), whereby the CoM is estimated through a long-short term memory (LSTM) network and a locomotion recogn...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - November 19, 2021 Category: Neuroscience Source Type: research
Computational Study on Spatially Distributed Sequential Stimulation for Fatigue Resistant Neuromuscular Electrical Stimulation
Neuromuscular electrical stimulation (NMES) is used to artificially induce muscle contractions of paralyzed limbs in individuals with stroke or spinal cord injury, however, the therapeutic efficacy can be significantly limited by rapid fatiguing of the targeted muscle. A unique stimulation method, called spatially distributed sequential stimulation (SDSS), has been shown clinically to reduce fatiguing during FES, but further improvement is needed. The purpose of this study was to gain a better understanding of SDSS-induced neural activation in the human lower leg using a computational approach. We developed a realistic fin...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - December 24, 2021 Category: Neuroscience Source Type: research
A Novel Online Action Observation-Based Brain–Computer Interface That Enhances Event-Related Desynchronization
Brain-computer interface (BCI)-based stroke rehabilitation is an emerging field in which different studies have reported variable outcomes. Among the BCI paradigms, motor imagery (MI)-based closed-loop BCI is still the main pattern in rehabilitation training. It can estimate a patient’ motor intention and provide corresponding feedback. However, the individual difference in the ability to generate event-related desynchronization (ERD) and the low classification accuracy of the multi-class scenario restrict the application of MI-based BCI. In the current study, a novel online action observation (AO)–based BCI ...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - December 24, 2021 Category: Neuroscience Source Type: research
Characterization of Bimanual Cyclical Tasks From Single-Trial EEG-fNIRS Measurements
In this study, ten human participants were recruited conducting robot-assisted bimanual cyclical tasks (in-phase, 90° out-of-phase, and anti-phase) when concurrent electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were recorded. A unified EEG-fNIRS bimodal signal processing framework was proposed to characterize neural activities induced by three types of bimanual cyclical tasks. In this framework, novel artifact removal methods were used to improve the SNR and the task-related component analysis (TRCA) was introduced to increase the reproducibility of EEG-fNIRS bimodal features. The opt...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - February 1, 2022 Category: Neuroscience Source Type: research
Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises
Health professionals often prescribe patients to perform specific exercises for rehabilitation of several diseases (e.g., stroke, Parkinson, backpain). When patients perform those exercises in the absence of an expert (e.g., physicians/therapists), they cannot assess the correctness of the performance. Automatic assessment of physical rehabilitation exercises aims to assign a quality score given an RGBD video of the body movement as input. Recent deep learning approaches address this problem by extracting CNN features from co-ordinate grids of skeleton data (body-joints) obtained from videos. However, they could not extrac...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - February 25, 2022 Category: Neuroscience Source Type: research
Wearable Supernumerary Robotic Limb System Using a Hybrid Control Approach Based on Motor Imagery and Object Detection
Motor disorder of upper limbs has seriously affected the daily life of the patients with hemiplegia after stroke. We developed a wearable supernumerary robotic limb (SRL) system using a hybrid control approach based on motor imagery (MI) and object detection for upper-limb motion assistance. SRL system included an SRL hardware subsystem and a hybrid control software subsystem. The system obtained the patient’s motion intention through MI electroencephalogram (EEG) recognition method based on graph convolutional network (GCN) and gated recurrent unit network (GRU) to control the left and right movements of SRL, and t...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - May 31, 2022 Category: Neuroscience Source Type: research
AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement
Insomnia is a common public health problem and an open biomedical research topic. Insomnia results in various health problems, including memory decline, decreases concentration and weakens problem-solving ability. The insufficient sleep also leads to skin ageing, heart disease, high blood pressure, arrhythmia and stroke. While it remains as a global health concern, sleep quality improvement using modern technologies, such as machine learning, classification technologies, virtual reality (VR), becomes an open and hot research problem. These modern technologies offer new curing solutions under certain conditions. In this pap...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 14, 2022 Category: Neuroscience Source Type: research
A Novel Hybrid Brain-Computer Interface Combining Motor Imagery and Intermodulation Steady-State Visual Evoked Potential
This study provides a novel and natural paradigm for a hybrid BCI based on MI and SSVEP.
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 14, 2022 Category: Neuroscience Source Type: research
Ultrasound Deep Brain Stimulation Modulates Body Temperature in Mice
Body temperature plays a critical role in rehabilitation, and numerous studies proved that the regulation of body temperature contributes to the sensorimotor recovery of patients with brain diseases such as stroke. The hypothalamus plays a key role in thermoregulation. Ultrasound deep brain stimulation (UDBS) can noninvasively modulate deep brain nuclei and have potential applications in the treatment of Parkinson’s disease, Alzheimer’s disease, and depression, among others. The purpose of this study was to investigate whether ultrasound stimulation of the hypothalamus could regulate body temperature in free-...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - July 15, 2022 Category: Neuroscience Source Type: research
Effect of Wheels, Casters and Forks on Vibration Attenuation and Propulsion Cost of Manual Wheelchairs
This study used a robotic wheelchair propulsion system to repeatedly drive an ultra-lightweight wheelchair over four common indoor and outdoor surfaces: linoleum tile, decorative brick, poured concrete sidewalk, and expanded aluminum grates. Data from the propulsion system and a seat-mounted accelerometer were used to evaluate the energetic efficiency and vibration exposure of each configuration. Equivalence test results identified meaningful differences in both propulsion cost and seat vibration. LoopWheels and SoftWheels both increased propulsion costs by 12-16% over the default configuration without reducing vibr...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 23, 2022 Category: Neuroscience Source Type: research
The Effects of Bilateral Phase-Dependent Closed-Loop Vibration Stimulation With Motor Imagery Paradigm
In this study, we proposed a method of phase-dependent closed-loop vibration stimulation to be applied on both hands, and explored the effects of different vibration stimuli on the left and right hand MI-BCI. Eighteen healthy subjects were recruited and asked to perform, in sequence, MI tasks under three different conditions of vibratory feedback, which were no vibration stimulus (MI), phase-dependent closed-loop vibration stimulus (PDS), and continuous vibration stimulus (CS). Then the performance of the left and right hand MI-BCI and the patterns of brain oscillation were compared and analyzed under these different stimu...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 30, 2022 Category: Neuroscience Source Type: research
