Search Results - "Xi, Xugang"
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Chinese sign language recognition based on surface electromyography and motion information
Published in PloS one (07-12-2023)“…Sign language (SL) has strong structural features. Various gestures and the complex trajectories of hand movements bring challenges to sign language…”
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2
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
Published in Sensors (Basel, Switzerland) (27-05-2017)“…As an essential subfield of context awareness, activity awareness, especially daily activity monitoring and fall detection, plays a significant role for…”
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3
Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network
Published in Sensors (Basel, Switzerland) (27-12-2020)“…As an important research direction of human-computer interaction technology, gesture recognition is the key to realizing sign language translation. To improve…”
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4
Feature-Level Fusion of Surface Electromyography for Activity Monitoring
Published in Sensors (Basel, Switzerland) (17-02-2018)“…Surface electromyography (sEMG) signals are commonly used in activity monitoring and rehabilitation applications as they reflect effectively the motor…”
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Corticomuscular Coupling Analysis in Stroke Rehabilitation Based on Variational Mode Decomposition-Transfer Entropy
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2024)“…This study aims to explore alterations in corticomuscular and cortical coupling during the rehabilitation of stroke patients. We initiated the analysis by…”
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Surface electromyography signal denoising via EEMD and improved wavelet thresholds
Published in Mathematical biosciences and engineering : MBE (16-10-2020)“…The acquisition of good surface electromyography (sEMG) is an important prerequisite for correct and timely control of prosthetic limb movements. sEMG is…”
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White matter microstructure alterations in idiopathic restless legs syndrome: a study combining crossing fiber-based and tensor-based approaches
Published in Frontiers in neuroscience (21-09-2023)“…Introduction Restless legs syndrome (RLS) is a common sensorimotor disorder characterized by an irrepressible urge to move the legs and frequently accompanied…”
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Joint Filter-Band-Combination and Multi-view CNN for Electroencephalogram Decoding
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2023)“…Motor imagery (MI) electroencephalogram (EEG) signals have an important role in brain-computer interface (BCI) research. However, effectively decoding these…”
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9
Attribute-Enhanced Capsule Network for Pulmonary Nodule Classification
Published in Journal of medical and biological engineering (01-02-2024)“…Purpose Most pulmonary nodule classification methods solely rely on nodule images without considering the corresponding attribute information. Additionally,…”
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Denoising of surface electromyogram based on complementary ensemble empirical mode decomposition and improved interval thresholding
Published in Review of scientific instruments (01-03-2019)“…Surface electromyogram (sEMG) signals are physiological signals that are widely applied in certain fields. However, sEMG signals are frequently corrupted by…”
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SEMG-based multifeatures and predictive model for knee-joint-angle estimation
Published in AIP advances (01-09-2019)“…Surface electromyography (sEMG) signals are commonly used in activity monitoring and rehabilitation training as they reflect effectively the motor intentions…”
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12
Recognition of regions of stroke injury using multi-modal frequency features of electroencephalogram
Published in Frontiers in neuroscience (10-06-2024)“…Nowadays, increasingly studies are attempting to analyze strokes in advance. The identification of brain damage areas is essential for stroke rehabilitation…”
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13
EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network
Published in Brain sciences (24-07-2022)“…The use of electroencephalography to recognize human emotions is a key technology for advancing human–computer interactions. This study proposes an improved…”
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Evaluation of movement functional rehabilitation after stroke: A study via graph theory and corticomuscular coupling as potential biomarker
Published in Mathematical biosciences and engineering : MBE (01-01-2023)“…Changes in the functional connections between the cerebral cortex and muscles can evaluate motor function in stroke rehabilitation. To quantify changes in…”
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Investigation of Corticomuscular Functional Coupling during Hand Movements Using Vine Copula
Published in Brain sciences (08-06-2022)“…Corticomuscular functional coupling reflects the neuronal communication between cortical oscillations and muscle activity. Although the motor cortex is…”
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Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure
Published in Complexity (New York, N.Y.) (2020)“…Falls among the elderly comprise a major health problem. Daily activity monitoring and fall detection using wearable sensors provide an important healthcare…”
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Analysis of corticomuscular connectivity during walking using vine copula
Published in Mathematical biosciences and engineering : MBE (01-01-2021)“…Corticomuscular connectivity plays an important role in the neural control of human motion. This study recorded electroencephalography (EEG) and surface…”
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Model-Based Network Scheduling and Control for Systems over the IEEE 802.15.4 Network
Published in Journal of systems science and complexity (01-02-2021)“…The scheduling and control of a class of wireless networked control system is investigated, whose control loop is closed via a shared IEEE 802.15.4 wireless…”
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Surface Electromyography Based Estimation of Knee Joint Angle by Using Correlation Dimension of Wavelet Coefficient
Published in IEEE access (2019)“…In this paper, we propose a regression model to establish a relationship between surface electromyography (sEMG) and knee joint angles. In this model, the…”
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Altered Functional Connectivity and Complexity in Major Depressive Disorder after Musical Stimulation
Published in Brain sciences (07-12-2022)“…Major depressive disorder (MDD) is a common mental illness. This study used electroencephalography (EEG) to explore the effects of music therapy on brain…”
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