Search Results - "Xie, Longhan"
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Increased piezoelectric energy harvesting from human footstep motion by using an amplification mechanism
Published in Applied physics letters (06-10-2014)“…In this paper, we propose a piezoelectric energy harvester to scavenge the impact energy from human footsteps at low input frequencies. The device consists of…”
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2
Adaptive Neural Consensus of Unknown Non-Linear Multi-Agent Systems with Communication Noises under Markov Switching Topologies
Published in Mathematics (Basel) (01-01-2024)“…In this paper, the adaptive consensus problem of unknown non-linear multi-agent systems (MAs) with communication noises under Markov switching topologies is…”
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3
LiDAR-based Hand Contralateral Controlled Functional Electrical Stimulation System
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2023)“…Contralateral controlled functional electrical stimulation (CCFES) can induce simultaneous movements in patients' bilateral hands. It has been clinically…”
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4
Auditory Attention Detection via Cross-Modal Attention
Published in Frontiers in neuroscience (21-07-2021)“…Humans show a remarkable perceptual ability to select the speech stream of interest among multiple competing speakers. Previous studies demonstrated that…”
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5
Computer-aided diagnosis of pectus excavatum using CT images and deep learning methods
Published in Scientific reports (20-11-2020)“…Pectus excavatum (PE) is one of the most common chest wall defects. Accurate assessment of PE deformities is critical for effective surgical intervention…”
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SVM-Based Classification of sEMG Signals for Upper-Limb Self-Rehabilitation Training
Published in Frontiers in neurorobotics (04-06-2019)“…Robot-assisted rehabilitation is a growing field that can provide an intensity, quality, and quantity of treatment that exceed therapist-mediated…”
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7
Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms
Published in Journal of neuroengineering and rehabilitation (04-11-2019)“…Compensatory movements are commonly employed by stroke survivors during seated reaching and may have negative effects on their long-term recovery. Detecting…”
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Online compensation detecting for real-time reduction of compensatory motions during reaching: a pilot study with stroke survivors
Published in Journal of neuroengineering and rehabilitation (28-04-2020)“…Compensations are commonly observed in patients with stroke when they engage in reaching without supervision; these behaviors may be detrimental to long-term…”
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sEMG-Based Trunk Compensation Detection in Rehabilitation Training
Published in Frontiers in neuroscience (21-11-2019)“…Stroke patients often use trunk to compensate for impaired upper limb motor function during upper limb rehabilitation training, which results in a reduced…”
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10
Extended residual learning with one-shot imitation learning for robotic assembly in semi-structured environment
Published in Frontiers in neurorobotics (29-04-2024)“…Robotic assembly tasks require precise manipulation and coordination, often necessitating advanced learning techniques to achieve efficient and effective…”
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Development of a computer-aided design and finite-element analysis combined method for customized Nuss bar in pectus excavatum surgery
Published in Scientific reports (14-06-2017)“…Pectus excavatum (PEX) is the most common chest deformity in children, which is usually corrected by using the minimally invasive Nuss method. The orthopedic…”
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12
A Novel Quantitative Spasticity Evaluation Method Based on Surface Electromyogram Signals and Adaptive Neuro Fuzzy Inference System
Published in Frontiers in neuroscience (25-05-2020)“…Stroke patients often suffer from spasticity. Before treatment of spasticity, there are often practical demands for objective and quantitative assessment of…”
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13
Non-invasive blood glucose measurement of 95% certainty by pressure regulated Mid-IR
Published in Talanta (Oxford) (15-05-2019)“…To fight against diabetes mellitus, from which more than 400 million people suffer in the world, the patients have to puncture their fingers 4–5 times a day…”
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14
Muscle Activation Visualization System Using Adaptive Assessment and Forces-EMG Mapping
Published in IEEE access (2021)“…VR-based serious games are obtained without details about real-time guide and feedback in the rehabilitation after stroke, leading to undesirable recovery…”
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15
A Continuous Estimation Model of Upper Limb Joint Angles by Using Surface Electromyography and Deep Learning Method
Published in IEEE access (2019)“…The continuous control of rehabilitation robots based on surface electromyography (sEMG) is a natural control strategy that can ensure human safety and ease…”
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A Practical EEG-Based Human-Machine Interface to Online Control an Upper-Limb Assist Robot
Published in Frontiers in neurorobotics (10-07-2020)“…Background and objective: Electroencephalography (EEG) can be used as an interface to control machines with human intention, especially for paralyzed people in…”
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Compensatory movement detection by using near-infrared spectroscopy technology based on signal improvement method
Published in Frontiers in neuroscience (10-05-2023)“…Compensatory movements usually occur in stroke survivors with hemiplegia, which is detrimental to recovery. This paper proposes a compensatory movement…”
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18
Design and experiments of a self-charged power bank by harvesting sustainable human motion
Published in Advances in mechanical engineering (01-05-2016)“…In this study, a self-charged power bank integrated with an energy harvester was developed to harness human biomechanical energy and sustainably recharge a…”
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Automatic Detection of Compensatory Movement Patterns by a Pressure Distribution Mattress Using Machine Learning Methods: A Pilot Study
Published in IEEE access (2019)“…For stroke patients with hemiplegia, reaching with the paretic arm is often associated with compensatory movements due to limited active arm movement and a…”
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Interpretable evaluation for the Brunnstrom recovery stage of the lower limb based on wearable sensors
Published in Frontiers in neuroinformatics (08-09-2022)“…With the increasing number of stroke patients, there is an urgent need for an accessible, scientific, and reliable evaluation method for stroke rehabilitation…”
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