Search Results - "Sheng, XinJun"
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Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals
Published in IEEE transactions on biomedical engineering (01-12-2020)“…Objective: Estimation of the discharge pattern of motor units by electromyography (EMG) decomposition has been applied for neurophysiologic investigations,…”
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Toward an Enhanced Human–Machine Interface for Upper-Limb Prosthesis Control With Combined EMG and NIRS Signals
Published in IEEE transactions on human-machine systems (01-08-2017)“…Advanced myoelectric prosthetic hands are currently limited due to the lack of sufficient signal sources on amputation residual muscles and inadequate…”
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3
A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback
Published in Nature biomedical engineering (01-04-2023)“…Neuroprosthetic hands are typically heavy (over 400 g) and expensive (more than US$10,000), and lack the compliance and tactile feedback of human hands. Here,…”
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Integration of Motor Unit Filters for Enhanced Surface Electromyogram Decomposition During Varying Force Isometric Contraction
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2024)“…Muscles generate varying levels of force by recruiting different numbers of motor units (MUs), and as the force increases, the number of recruited MUs…”
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Mechanomyography Assisted Myoeletric Sensing for Upper-Extremity Prostheses: A Hybrid Approach
Published in IEEE sensors journal (15-05-2017)“…The myoelectric upper-limb prosthetic manipulation is inherently limited by the unreliable sensor-skin interface. This paper presents a hybrid approach to…”
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Invariant Surface EMG Feature Against Varying Contraction Level for Myoelectric Control Based on Muscle Coordination
Published in IEEE journal of biomedical and health informatics (01-05-2015)“…Variations in muscle contraction effort have a substantial impact on performance of pattern recognition based myoelectric control. Though incorporating changes…”
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Development of a Multi-Channel Compact-Size Wireless Hybrid sEMG/NIRS Sensor System for Prosthetic Manipulation
Published in IEEE sensors journal (15-01-2016)“…It is evident that surface electromyography (sEMG)-based approaches have inherent difficulty in coping with modern dominant applications of clinical diagnosis…”
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Electrotactile Feedback Improves Grip Force Control and Enables Object Stiffness Recognition While Using a Myoelectric Hand
Published in IEEE transactions on neural systems and rehabilitation engineering (2022)“…Current myoelectric hands are limited in their ability to provide effective sensory feedback to the users, which highly affects their functionality and…”
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Decoding Multi-DoF Movements Using a CST-based Force Generation Model With Single-DoF Training
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2024)“…Recent developments in dexterous myoelectric prosthetics have established a hardware base for human-machine interfaces. Although pattern recognition techniques…”
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User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control
Published in Journal of neural engineering (01-08-2015)“…Recent studies have reported that the classification performance of electromyographic (EMG) signals degrades over time without proper classification…”
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A Function-integrated Neurosurgical Robot for Distributed Implantation of Microelectrodes
Published in International journal of control, automation, and systems (01-09-2024)“…Stereotaxic surgeries for distributed implantation of microelectrodes into rat brains are vital for establishing brain-computer interfaces in neuroscience…”
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12
EMG Signal Filtering Based on Variational Mode Decomposition and Sub-Band Thresholding
Published in IEEE journal of biomedical and health informatics (01-01-2021)“…Surface electromyography (EMG) signals are inevitably contaminated by various noise components, including powerline interference (PLI), baseline wandering…”
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13
Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns
Published in Journal of neuroengineering and rehabilitation (02-12-2015)“…Most prosthetic myoelectric control studies have concentrated on low density (less than 16 electrodes, LD) electromyography (EMG) signals, due to its better…”
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14
Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography
Published in Biomedical signal processing and control (01-01-2020)“…Methods for surface electromyographic (EMG) signal decomposition have been developed in the past decade, to extract neural information transferred from the…”
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15
Reduced Daily Recalibration of Myoelectric Prosthesis Classifiers Based on Domain Adaptation
Published in IEEE journal of biomedical and health informatics (01-01-2016)“…Control scheme design based on surface electromyography (sEMG) pattern recognition has been the focus of much research on a myoelectric prosthesis (MP)…”
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16
Mapping individual motor unit activity to continuous three-DoF wrist torques: perspectives for myoelectric control
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2023)“…Objective . The surface electromyography (EMG) decomposition techniques provide access to motor neuron activities and have been applied to myoelectric control…”
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Common spatial-spectral analysis of EMG signals for multiday and multiuser myoelectric interface
Published in Biomedical signal processing and control (01-08-2019)“…•A novel signal processing method named common spatial-spectral analysis (CSSA) is applied to EMG signals.•CSSA is used to find common modes across multiday or…”
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18
Segment-Wise Decomposition of Surface Electromyography to Identify Discharges Across Motor Neuron Populations
Published in IEEE transactions on neural systems and rehabilitation engineering (2022)“…Objective. The surface electromyography (EMG) decomposition techniques have shown promising results in neurophysiologic investigations, clinical diagnosis, and…”
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19
A Calibration-free Hybrid Approach Combining SSVEP and EOG for Continuous Control
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2023)“…Objective : While SSVEP-BCI has been widely developed to control external devices, most of them rely on the discrete control strategy. The continuous SSVEP-BCI…”
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Continuous tool-path planning for optimizing thermo-mechanical properties in wire-arc additive manufacturing: An evolutional method
Published in Journal of manufacturing processes (01-11-2022)“…Continuous tool-path is often chosen to improve deposition efficiency and forming quality in wire-arc additive manufacturing. However, the concentration of…”
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