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Source: IEE Transactions on Neural Systems and Rehabilitation Engineering

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Total 279 results found since Jan 2013.

Integrated Gait Triggered Mixed Reality and Neurophysiological Monitoring as a Framework for Next-Generation Ambulatory Stroke Rehabilitation
Brain stroke affects millions of people in the world every year, with 50 to 60 percent of stroke survivors suffering from functional disabilities, for which early and sustained post-stroke rehabilitation is highly recommended. However, approximately one third of stroke patients do not receive early in hospital rehabilitation programs due to insufficient medical facilities or lack of motivation. Gait triggered mixed reality (GTMR) is a cognitive-motor dual task with multisensory feedback tailored for lower-limb post-stroke rehabilitation, which we propose as a potential method for addressing these rehabilitation challenges....
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - November 26, 2021 Category: Neuroscience Source Type: research

Alterations in Muscle Networks in the Upper Extremity of Chronic Stroke Survivors
This study represents the first effort, to the best of our knowledge, to assess stroke-linked alterations in functional intermuscular connectivity using muscle network analysis. The findings revealed a pattern of alterations to muscle networks in stroke survivors compared to healthy controls, as a result of the loss of brain function associated with the stroke. These alterations in muscle networks reflected underlying pathophysiology. These findings can help better understand the motor impairment and motor control in stroke and may advance rehabilitation efforts for stroke by identifying the impaired neuro- uscular coordin...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 11, 2021 Category: Neuroscience Source Type: research

Hand Extension Robot Orthosis (HERO) Glove: Development and Testing With Stroke Survivors With Severe Hand Impairment
The hand extension robot orthosis (HERO) glove was iteratively designed with occupational therapists and stroke survivors to enable stroke survivors with severe hand impairment to grasp and stabilize everyday objects, while being portable, lightweight, and easy to set up and use. The robot consists of a batting glove with artificial tendons embedded into the glove’s fingers. The tendons are pulled and pushed by a linear actuator to extend and flex the fingers. The robot’s finger extension and grasp assistance are automated using inertial measurement unit signal thresholds. Five stroke survivors (Chedoke McMas...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - April 30, 2019 Category: Neuroscience Source Type: research

Temporal Features of Muscle Synergies in Sit-to-Stand Motion Reflect the Motor Impairment of Post-Stroke Patients
Sit-to-stand (STS) motion is an important daily activity, and many post-stroke patients have difficulty performing STS motion. Previous studies found that there are four muscle synergies (synchronized muscle activations) in the STS motion of healthy adults. However, for post-stroke patients, it is unclear whether muscle synergies change and which features primarily reflect motor impairment. Here, we use a machine learning method to demonstrate that temporal features in two muscle synergies that contribute to hip rising and balance maintenance motion reflect the motor impairment of post-stroke patients. Analyzing the muscle...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 30, 2019 Category: Neuroscience Source Type: research

Phase-Dependent Modulation of Muscle Activity and Intermuscular Coupling During Walking in Patients After Stroke
Many patients experience motor and sensory impairments after stroke, leading to gait disturbances. Analysis of muscle modulation mode during walking can provide evidence for neurological changes after stroke, while how stroke affects individual muscle activity and muscular coordination in certain gait sub-phases remains unclear. The purpose of the present study is to comprehensively investigate phase-dependent ankle muscle activity and intermuscular coupling patterns in post-stroke patients. In this experiment, 10 post-stroke patients, 10 young healthy subjects and 10 elderly healthy subjects were recruited. All subjects w...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - February 7, 2023 Category: Neuroscience Source Type: research

A Novel Interpretation of Sample Entropy in Surface Electromyographic Examination of Complex Neuromuscular Alternations in Subacute and Chronic Stroke
The objective of this paper was to develop sample entropy (SampEn) as a novel surface electromyogram (EMG) biomarker to quantitatively examine post-stroke neuromuscular alternations. The SampEn method was performed on surface EMG interference patterns recorded from biceps brachii muscles of nine healthy control subjects, fourteen subjects with subacute stroke, and eleven subjects with chronic stroke, respectively. Measurements were collected during isometric contractions of elbow flexion at different constant force levels. By producing diagnostic decisions for individual muscles, two categories of abnormalities in some par...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 1, 2018 Category: Neuroscience Source Type: research

Post-Stroke Adaptation of Lateral Foot Placement Coordination in Variable Environments
Individuals with stroke often have difficulty modulating their lateral foot placement during gait, a primary strategy for maintaining lateral stability. Our purpose was to understand how individuals with and without stroke adapt their lateral foot placement when walking in an environment that alters center of mass (COM) dynamics and the mechanical requirement to maintain lateral stability. The treadmill walking environments included: 1) a Null Field– where no forces were applied, and 2) a Damping Field– where external forces opposed lateral COM velocity. To evaluate the response to the changes in environment,...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - April 23, 2021 Category: Neuroscience Source Type: research

Decoding Finger Tapping With the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution
In stroke rehabilitation, motor imagery based on a brain–computer interface is an extremely useful method to control an external device and utilize neurofeedback. Many studies have reported on the classification performance of motor imagery to decode individual fingers in stroke patients compared with healthy controls. However, classification performance for a given limb is still low because the differences between patients owing to brain reorganization after stroke are not considered. We used electroencephalography signals from eleven healthy controls and eleven stroke patients in this study. The subjects performed...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 18, 2021 Category: Neuroscience Source Type: research

Development of a Biomimetic Hand Exotendon Device (BiomHED) for Restoration of Functional Hand Movement Post-Stroke
Significant functional impairment of the hand is common among stroke survivors and restoration of hand function should be prioritized during post-stroke rehabilitation. The goal of this study was to develop a novel biomimetic device to assist patients in producing complex hand movements with a limited number of actuators. The Biomimetic Hand Exoskeleton Device (BiomHED) is actuated by exotendons that mimic the geometry of the major tendons of the hand. Ten unimpaired subjects and four chronic stroke survivors participated in experiments that tested the efficacy of the system. The exotendons reproduced distinct spatial join...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - July 1, 2014 Category: Neuroscience Source Type: research

Developing a Wearable Ankle Rehabilitation Robotic Device for in-Bed Acute Stroke Rehabilitation
This study seeks to address the need and deliver intensive passive and active movement training in acute stroke using a wearable ankle robotic device. Isometric torque generation mode under real-time feedback is used to guide patients in motor relearning. In the passive stretching mode, the wearable robotic device stretches the ankle throughout its range of motion to the extreme dorsiflexion forcefully and safely. In the active movement training mode, a patient is guided and motivated to actively participate in movement training through game playing. Clinical testing of the wearable robotic device on 10 acute stroke surviv...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 1, 2017 Category: Neuroscience Source Type: research

Spatial Analysis of Multichannel Surface EMG in Hemiplegic Stroke
We investigated spatial activation patterns of upper extremity muscles during isometric force generation in both intact persons and in hemispheric stroke survivors. We used a 128-channel surface electromyogram (EMG) grid to record the electrical activity of biceps brachii muscles during these contractions. EMG data were processed to develop 2-D root mean square (RMS) maps of muscle activity. Our objective was to determine whether motor impairments following stroke were associated with changes in the muscle activity maps and in the spatial distribution of muscular activation. We found that, for a given subject, spatial patt...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - October 1, 2017 Category: Neuroscience Source Type: research

Ischemic Stroke Detection by Analyzing Heart Rate Variability in Rat Middle Cerebral Artery Occlusion Model
Although early reperfusion therapy is effective for acute ischemic stroke, limited therapeutic time-window resulted in only 10% of patients receiving reperfusion therapy. A fast and reliable stroke detection method is desired so that patients can receive early reperfusion therapy. It has been reported that ischemic stroke affects heart rate variability (HRV), which reflects activities of the autonomic nervous function. Thus, ischemic stroke may be detected at an acute stage through monitoring HRV. This paper proposes an HRV-based ischemic stroke detection algorithm by using multivariate statistical process control (...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 1, 2018 Category: Neuroscience Source Type: research

Shear Waves Reveal Viscoelastic Changes in Skeletal Muscles After Hemispheric Stroke
We investigated alterations in material properties such as elasticity and viscoelasticity of stroke-affected muscles using ultrasound induced shear waves and mechanical models. We used acoustic radiation force to generate shear waves along fascicles of biceps muscles and measured their propagation velocity. The shear wave data were collected in muscles of 13 hemiplegic stroke survivors under passive conditions at 90°, 120°, and 150° elbow flexion angles. In a viscoelastic medium, as opposed to a purely elastic medium, the shear wave propagation velocity depends on the frequency content of the induced w...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - October 1, 2018 Category: Neuroscience Source Type: research

Automated Scoring of Hemiparesis in Acute Stroke From Measures of Upper Limb Co-Ordination Using Wearable Accelerometry
Stroke survivors usually experience paralysis in one half of the body, i.e., hemiparesis, and the upper limbs are severely affected. Continuous monitoring of hemiparesis progression hours after the stroke attack involves manual observation of upper limb movements by medical experts in the hospital. Hence it is resource and time intensive, in addition to being prone to human errors and inter-rater variability. Wearable devices have found significance in automated continuous monitoring of neurological disorders like stroke. In this paper, we use accelerometer signals acquired using wrist-worn devices to analyze upper limb mo...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - March 31, 2020 Category: Neuroscience Source Type: research

Lower-Limb Motor Assessment With Corticomuscular Coherence of Multiple Muscles During Ankle Dorsiflexion After Stroke
Motor impairment after stroke is generally caused by damage to the neural networks that control movement. Corticomuscular coherence (CMC) is a valid method to analyze the functional connectivity of the corticospinal pathway between the cerebral cortex and muscles. However, current studies on CMC in stroke patients only focused on the upper limbs. The functional connectivity between the brain and lower limbs in stroke patients has not been well studied. Therefore, twelve stroke patients and fifteen healthy controls were recruited and their electroencephalogram (EEG) and electromyogram (EMG) of Tibialis Anterior (TA), Latera...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - January 31, 2023 Category: Neuroscience Source Type: research