Zuyu Du

ORCID: 0000-0002-8519-0645
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About
Contact & Profiles
Research Areas
  • Muscle activation and electromyography studies
  • Speech and Audio Processing
  • Brake Systems and Friction Analysis
  • Non-Invasive Vital Sign Monitoring
  • ECG Monitoring and Analysis
  • EEG and Brain-Computer Interfaces
  • Speech Recognition and Synthesis
  • Emotion and Mood Recognition
  • Advanced MRI Techniques and Applications
  • Osteoarthritis Treatment and Mechanisms
  • Functional Brain Connectivity Studies
  • Motor Control and Adaptation
  • Musculoskeletal pain and rehabilitation
  • Machine Learning in Healthcare
  • Dementia and Cognitive Impairment Research
  • Medical Image Segmentation Techniques
  • Effects of Vibration on Health

Tianjin University
2025

ShanghaiTech University
2022-2024

Early diagnosis of mild cognitive impairment (MCI) may effectively prevent its development to Alzheimer's disease. Function connectivity (FC) the brain networks is a widely used biomarker for MCI detection. However, FC estimated by pre-defined metrics unable fully characterize signals. The present study aims develop deep learning framework directly applied signals improved diagnosis. A resting-state functional magnetic resonance imaging (rs-fMRI) dataset containing normal controls (NC),...

10.1109/jsen.2024.3387103 article EN IEEE Sensors Journal 2024-04-16

Vibration exercise (VE) has shown promising results for improving muscle strength and power performance when superimposed on high-level contraction. However, lowlevel contraction may be more preferable in many rehabilitation programs due to the weakness of patients. Unfortunately, effects underlying physiological mechanisms VE low-level are unclear. This study aims investigate fatiguing motor unit (MU) firing patterns during with Twenty-one healthy participants performed 60-s isometric upper...

10.1109/tnsre.2024.3471856 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024-01-01

10.1109/bibm62325.2024.10822293 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024-12-03

Trunk electromyography (EMG) has been widely used in many biomedical applications, which is usually contaminated by electrocardiography (ECG) interference. Several methods have proposed for ECG removal from trunk EMG. However, most of them are either inaccurate or unsuitable online e.g., prosthesis control. The aim the present study therefore to develop an accurate algorithm suitable applications. Each wave was modeled Gaussian kernel functions and subtracted measurement obtain a clean Two...

10.1109/ojim.2022.3194902 article EN cc-by IEEE Open Journal of Instrumentation and Measurement 2022-01-01

Introduction Beneficial effects have been observed for mechanical vibration stimulation (MVS), which are mainly attributed to tonic reflex (TVR). TVR is reported elicit synchronized motor unit activation during locally applied vibration. Similar also in a novel system referred as functional force (FFS). However, the manifestation of FFS doubted due use global electromyography (EMG) features previous analysis. Our study aims investigate on discharge patterns human biceps brachii by analyzing...

10.3389/fnins.2023.1293017 article EN cc-by Frontiers in Neuroscience 2023-12-05
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