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Specialty: Biomedical Engineering

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Total 425 results found since Jan 2013.

Motor recovery monitoring using acceleration measurements in post acute stroke patients
Conclusion: A wireless accelerometer based 'hot stroke' monitoring system is developed to monitor the motor recovery in acute-stroke patients. It has been shown to monitor stroke patients continuously, which has not been possible so far with high reliability.
Source: BioMedical Engineering OnLine - April 16, 2013 Category: Biomedical Engineering Authors: Jayavardhana GubbiAravinda RaoKun FangBernard YanMarimuthu Palaniswami Source Type: research

Optogenetic Excitation of Ipsilesional Sensorimotor Neurons is Protective in Acute Ischemic Stroke: A Laser Speckle Imaging Study
Conclusion: Excitatory stimulation of ipsilesional sensorimotor neurons in an acute stroke could protect neurovascular function and reduces the expansion of ischemic area. Significance: For the first time, this work demonstrates that specific neuronal modulation in the acute stroke is neuroprotective and reduces the infarct size.
Source: IEEE Transactions on Biomedical Engineering - April 23, 2019 Category: Biomedical Engineering Source Type: research

Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier
Publication date: Available online 1 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Asit Subudhi, Manasa Dash, Sukanta SabutAbstractMagnetic resonance imaging (MRI) is effectively used for accurate diagnosis of acute ischemic stroke. This paper presents an automated method based on computer aided decision system to detect the ischemic stroke using diffusion-weighted image (DWI) sequence of MR images. The system consists of segmentation and classification of brain stroke into three types according to The Oxfordshire Community Stroke Project (OCSP) scheme. The stroke is mainly classified into partial ant...
Source: Biocybernetics and Biomedical Engineering - May 2, 2019 Category: Biomedical Engineering Source Type: research

Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis
This study analyzes the electroencephalogram (EEG) background activity of 5 vascular dementia (VaD) patients, 15 stroke-related patients with mild cognitive impairment (MCI), and 15 control healthy subjects during a working memory (WM) task. The objective of this study is twofold. First, it aims to enhance the discrimination of VaD, stroke-related MCI patients, and control subjects using fuzzy neighborhood preserving analysis with QR-decomposition (FNPAQR); second, it aims to extract and investigate the spectral features that characterize the post-stroke dementia patients compared to the control subjects. Nineteen channels...
Source: Medical and Biological Engineering and Computing - November 8, 2017 Category: Biomedical Engineering Source Type: research

Noninvasive measurement of cardiac stroke volume using pulse wave velocity and aortic dimensions: a simulation study
Conclusions: Accurate estimates of cardiac stroke volume based on pulse wave velocity are theoretically possible and feasible. The precision of the method may be less than desired, owing to the dependence of the final result on the square of measured pulse wave velocity and the first power of ultrasonically measured aortic cross sectional area. However, classical formulas for propagation of random errors suggest that the method may still have sufficient precision for clinical applications. It remains as a challenge for experimentalists to explore further the potential of noninvasive measurement of stroke volume using pulse...
Source: BioMedical Engineering OnLine - September 19, 2014 Category: Biomedical Engineering Authors: Charles Babbs Source Type: research

Novel Electrode Placement in Electrical Bioimpedance-Based Stroke Detection: Effects on Current Penetration and Injury Characterization in a Finite Element Model
Conclusion: These findings support the use of novel electrode placements in EBI to overcome prior limitations, indicating a potential approach to increasing the technology's clinical utility in stroke identification. Significance: A non-invasive EBI monitor for stroke could provide essential timely intervention an- care of stroke patients.
Source: IEEE Transactions on Biomedical Engineering - April 22, 2022 Category: Biomedical Engineering Source Type: research

Characterization of Stroke- and Aging-Related Changes in the Complexity of EMG Signals During Tracking Tasks.
Abstract To explore the stroke- and aging-induced neurological changes in paretic muscles from an entropy point of view, fuzzy approximate entropy (fApEn) was utilized to represent the complexity of EMG signals in elbow-tracking tasks. In the experiment, 11 patients after stroke and 20 healthy control subjects (10 young and 10 age-matched adults) were recruited and asked to perform elbow sinusoidal trajectory tracking tasks. During the tests, the elbow angle and electromyographic (EMG) signals of the biceps brachii and triceps brachii were recorded simultaneously. The results showed significant differences in fApE...
Source: Annals of Biomedical Engineering - October 15, 2014 Category: Biomedical Engineering Authors: Ao D, Sun R, Tong KY, Song R Tags: Ann Biomed Eng Source Type: research

Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients
Conclusion: This study showed that it is possible to construct a decoder of the attempt to move the paretic arm for chronic stroke patients using the EEG activity of the healthy contralesional motor cortex. Significance: This decoding model could provide to stroke survivors with a natural, easy, and intuitive way to achieve control of BCIs or robot-assisted rehabilitation devices.
Source: IEEE Transactions on Biomedical Engineering - December 23, 2016 Category: Biomedical Engineering Source Type: research

Myoelectric Pattern Recognition for Controlling a Robotic Hand: A Feasibility Study in Stroke
Conclusion: The findings suggest that it is feasible to apply myoelectric pattern recognition to control the robotic hand in some but not all of the stroke patients. Each stroke subject should be individually online tested for the feasibility of applying myoelectric pattern recognition control for robot-assisted rehabilitation.
Source: IEEE Transactions on Biomedical Engineering - January 22, 2019 Category: Biomedical Engineering Source Type: research

Physiological complexity of gait is decreased in individuals with chronic stroke.
Abstract Complexity represents the adaptability of the biological system, therefore the assessment of complexity during tasks such as walking may be particularly useful when attempting to better understand the recovery processes after stroke. The purpose of this study was to determine whether the complexity of lower extremity gait kinematics in persons with chronic hemiparesis due to stroke is different from that of individuals without disability during a gait task. The group of participants with chronic stroke exhibited reduced gait complexity across all body segments compared to those without disability. The dec...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 28, 2019 Category: Biomedical Engineering Authors: Dugan EL, Combs-Miller SA Tags: Comput Methods Biomech Biomed Engin Source Type: research

Predictive and diagnosis models of stroke from hemodynamic signal monitoring
AbstractThis work presents a novel and promising approach to the clinical management of acute stroke. Using machine learning techniques, our research has succeeded in developing accurate diagnosis and prediction real-time models from hemodynamic data. These models are able to diagnose stroke subtype with 30 min of monitoring, to predict the exitus during the first 3 h of monitoring, and to predict the stroke recurrence in just 15 min of monitoring. Patients with difficult access to a CT scan and all patients that arrive at the stroke unit of a specialized hospital will benefit from these positive results. The results obtai...
Source: Medical and Biological Engineering and Computing - May 14, 2021 Category: Biomedical Engineering Source Type: research

Correlation Evaluation of Functional Corticomuscular Coupling With Abnormal Muscle Synergy After Stroke
Conclusion: We developed a computational procedure to evaluate the correlation between fCMC and MSM in stroke patients. Significance: This article provides a quantitative evaluation metrics based on fCMC to reveal the deficits during poststroke motor restoration and a promising approach to help patients correct abnormal movement habits, paving the way for neurophysiological assessment of neuromuscular control in conjunction with clinical scores.
Source: IEEE Transactions on Biomedical Engineering - October 29, 2021 Category: Biomedical Engineering Source Type: research

Motor Impairment in Stroke Patients Is Associated With Network Properties During Consecutive Motor Imagery
Conclusion: These findings demonstrate that network properties based on functional and causal connectivity were highly associated with motor function in stroke patients. Significance: Our network properties can help calculate the predictor of motor impairments in stroke rehabilitation and provide insight into the neural correlates related to motor function based on EEG after reorganization induced by stroke.
Source: IEEE Transactions on Biomedical Engineering - July 19, 2022 Category: Biomedical Engineering Source Type: research

Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke
AbstractNowadays, the physicians usually predict functional outcomes of stroke based on clinical experiences and big data, so we wish to develop a model to accurately identify imaging features for predicting functional outcomes of stroke patients. Using magnetic resonance imaging of ischemic and hemorrhagic stroke patients, we developed and trained a VGG-16 convolutional neural network (CNN) to predict functional outcomes after 28-day hospitalization. A total of 44 individuals (24 men and 20 women) were recruited from Taoyuan General Hospital and China Medical University Hsinchu Hospital to enroll in the study. Based on â€...
Source: Medical and Biological Engineering and Computing - August 2, 2022 Category: Biomedical Engineering Source Type: research

Effects of Bilateral Assistance for Hemiparetic Gait Post-Stroke Using a Powered Hip Exoskeleton
In this study, we investigated the effect of different hip exoskeleton assistance strategies on gait function and gait biomechanics of individuals post-stroke. We found that, compared to walking without a device, powered assistance from hip exoskeletons improved stroke participants' self-selected overground walking speed by 17.6 ± 2.5% and 11.1 ± 2.7% with a bilateral and unilateral assistance strategy, respectively (p < 0.05). Furthermore, both bilateral and unilateral assistance strategies significantly increased the paretic and non-paretic step length (p < 0.05). Our findings suggest that powered assistance from...
Source: Annals of Biomedical Engineering - August 13, 2022 Category: Biomedical Engineering Authors: Yi-Tsen Pan Inseung Kang James Joh Patrick Kim Kinsey R Herrin Trisha M Kesar Gregory S Sawicki Aaron J Young Source Type: research