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Source: IEE Transactions on Neural Systems and Rehabilitation Engineering
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Total 279 results found since Jan 2013.
Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation
Motor Imagery (MI)-based Brain Computer Interface (BCI) system is a potential technology for active neurorehabilitation of stroke patients by complementing the conventional passive rehabilitation methods. Research to date mainly focused on classifying left vs. right hand/foot MI of stroke patients. Though a very few studies have reported decoding imagined hand movement directions using electroencephalogram (EEG)-based BCI, the experiments were conducted on healthy subjects. Our work analyzes MI-based brain cortical activity from EEG signals and decodes the imagined hand movement directions in stroke patients. The decoded d...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - December 1, 2020 Category: Neuroscience Source Type: research
Investigating the Stroke- and Aging-Related Changes in Global and Instantaneous Intermuscular Coupling Using Cross-Fuzzy Entropy
This study aimed to investigate the aging- and stroke-related changes in the global and instantaneous intermuscular coupling between agonist and antagonist muscles. In the experiment, 8 patients after stroke, 18 healthy young subjects and 10 healthy middle-aged subjects were recruited and instructed to finish the elbow flexion and extension tasks. Cross-fuzzy entropy (C-FuzzyEn) and instantaneous C-FuzzyEn ( ${i}text{C}$ -FuzzyEn) based on a sliding window were used to analyze the global and instantaneous intermuscular coupling, respectively. Instantaneous FuzzyEn ( ${i}$ -FuzzyEn) based on a sliding window was also applie...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - August 17, 2021 Category: Neuroscience Source Type: research
Intensive In-Bed Sensorimotor Rehabilitation of Early Subacute Stroke Survivors With Severe Hemiplegia Using a Wearable Robot
This study showed that in-bed sensorimotor rehabilitation guided by a wearable ankle robot through combining motor relearning in real-time feedback, strong passive stretching, and active movement training facilitated early motor recovery for stroke survivors with severe hemiplegia in the acute/subacute phase.
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - November 5, 2021 Category: Neuroscience Source Type: research
Immersive Virtual Reality for the Cognitive Rehabilitation of Stroke Survivors
We report on the safety and acceptability of VIRTUE. We have also observed particular benefits of VR treatment for stroke survivors that experienced more severe cognitive impairment, and an encouraging reduction in time spent in the hospital for all patients that received the VR treatment.
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - March 25, 2022 Category: Neuroscience Source Type: research
SSVEP-Based Brain Computer Interface Controlled Soft Robotic Glove for Post-Stroke Hand Function Rehabilitation
Soft robotic glove with brain computer interfaces (BCI) control has been used for post-stroke hand function rehabilitation. Motor imagery (MI) based BCI with robotic aided devices has been demonstrated as an effective neural rehabilitation tool to improve post-stroke hand function. It is necessary for a user of MI-BCI to receive a long time training, while the user usually suffers unsuccessful and unsatisfying results in the beginning. To propose another non-invasive BCI paradigm rather than MI-BCI, steady-state visually evoked potentials (SSVEP) based BCI was proposed as user intension detection to trigger the soft roboti...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - July 5, 2022 Category: Neuroscience Source Type: research
Novel Platform for Quantitative Assessment of Functional Object Interactions After Stroke
This study highlights the feasibility of this new device and indicates that examining dynamic object i-
teraction may provide valuable insights into upper extremity function after stroke useful for assessment and rehabilitation.
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - February 3, 2023 Category: Neuroscience Source Type: research
A Serious Game System for Upper Limb Motor Function Assessment of Hemiparetic Stroke Patients
In this study, we recruited a total of 24 patients with varying degrees of stroke and 8 healthy controls to participate in the Serious Game System test. The results show that our Serious Game System was able to effectively differentiate between controls, severe, moderate, and mild hemiparesis with an average accuracy of 93.5%.
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 16, 2023 Category: Neuroscience Source Type: research
Current Topics in Technology-Enabled Stroke Rehabilitation and Reintegration: A Scoping Review and Content Analysis
Conclusion. The results indicate that IT-enabled stroke literature has focused on Functional outcomes and Robotic technologies, with lesser emphasis on Cognitive outcomes and combined interventions. We hope this review broadens awareness, usage and mainstream acceptance of novel technologies in rehabilitation and reintegration among clinicians, carers and patients.
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - August 23, 2023 Category: Neuroscience Source Type: research
Kinematic Data Analysis for Post-Stroke Patients Following Bilateral Versus Unilateral Rehabilitation With an Upper Limb Wearable Robotic System
This study is concerned with the changes in kinematics in the two robotic groups. Both patient groups played eight therapeutic video games over 12 sessions (90 min, two times a week). In each session, patients intensively played the different combination of video games that directly interacted with UL-EXO7 under the supervision of research assistant. At each session, all of the joint angle data was recorded for the evaluation of therapeutic effects. A new assessment metric is reported along with conventional metrics. The experimental result shows that both groups of patients showed consistent improvement with respect to th...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - March 1, 2013 Category: Neuroscience Source Type: research
Arm Stiffness During Assisted Movement After Stroke: The Influence of Visual Feedback and Training
Spasticity and muscular hypertonus are frequently found in stroke survivors and may have a significant effect on functional impairment. These abnormal neuro-muscular properties, which are quantifiable by the net impedance of the hand, have a direct consequence on arm mechanics and are likely to produce anomalous motor paths. Literature studies quantifying limb impedance in stroke survivors have focused on multijoint static tasks and single joint movements. Despite this research, little is known about the role of sensory motor integration in post-stroke impedance modulation. The present study elucidates this role by integra...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - May 1, 2013 Category: Neuroscience Source Type: research
Use of a Portable Assistive Glove to Facilitate Rehabilitation in Stroke Survivors With Severe Hand Impairment
Treatment options for stroke survivors with severe hand impairment are limited. Active task practice can be restricted by difficulty in voluntarily activating finger muscles and interference from involuntary muscle excitation. We developed a portable, actuated glove-orthosis, which could be employed to address both issues. We hypothesized that combining passive cyclical stretching (reducing motoneuronal hyperexcitability) imposed by the device with active-assisted, task-oriented training (rehabilitating muscle activation) would improve upper extremity motor control and task performance post-stroke. Thirteen participants wh...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - March 1, 2016 Category: Neuroscience Source Type: research
Inter-Joint Coordination Deficits Revealed in the Decomposition of Endpoint Jerk During Goal-Directed Arm Movement After Stroke
It is well documented that neurological deficits after stroke can disrupt motor control processes that affect the smoothness of reaching movements. The smoothness of hand trajectories during multi-joint reaching depends on shoulder and elbow joint angular velocities and their successive derivatives as well as on the instantaneous arm configuration and its rate of change. Right-handed survivors of unilateral hemiparetic stroke and neurologically-intact control participants held the handle of a two-joint robot and made horizontal planar reaching movements. We decomposed endpoint jerk into components related to shoulder and e...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - July 1, 2017 Category: Neuroscience Source Type: research
A Low-Cost Adaptive Balance Training Platform for Stroke Patients: A Usability Study
Stroke patients usually suffer from asymmetric posture due to hemi-paresis that can result in reduced postural controllability leading to a balance deficit. This deficit increases the risk of falls, which often makes them dependent on caregivers for community ambulation, thus deteriorating their quality of life. Conventional balance training involves rehabilitation exercises performed under physiotherapist’s supervision, where the scarcity of trained professionals as well as the cost of clinic-based rehabilitation programs can deter stroke survivors from undergoing regular balance training. Thus, researchers have be...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - July 1, 2017 Category: Neuroscience Source Type: research
Prediction of Intrinsically Caused Tripping Events in Individuals With Stroke
This study investigated the feasibility of predicting intrinsically caused trips (ICTs) in individuals with stroke. Gait kinematics collected from 12 individuals with chronic stroke, who demonstrated ICTs in treadmill walking, were analyzed. A prediction algorithm based on the outlier principle was employed. Sequential forward selection (SFS) and minimum-redundancy-maximum-relevance (mRMR) were used separately to identify the precursors for accurate ICT prediction. The results showed that it was feasible to predict ICTs around 50–260 ms before ICTs occurred in the swing phase by monitoring lower limb kinematics duri...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - August 1, 2017 Category: Neuroscience Source Type: research
Complex Neuromuscular Changes Post-Stroke Revealed by Clustering Index Analysis of Surface Electromyogram
The objective of this paperwas to characterize complex neuromuscular changes induced by a hemisphere stroke through a novel clustering index (CI) analysis of surface electromyogram (EMG). The CI analysis was performed using surface EMG signals collected bilaterally from the thenar muscles of 17 subjects with stroke and 12 age-matched healthy controls during their performance of varying levels of isometric muscle contractions. Compared with the neurologically intact or contralateral muscles, mixed CI patterns were observed in the paretic muscles. Two paretic muscles showed significantly increased CI implying dominant neurog...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - November 1, 2017 Category: Neuroscience Source Type: research
