Masseter sEMG Signal Processing and Classification
Built a two-channel surface EMG acquisition and analysis workflow for different jaw movement patterns, including rest, light bite, heavy bite, chewing, and bruxism-like tasks.
Biomedical Engineering Undergraduate
Li Shengqiang
Interested in biomedical signal processing, medical artificial intelligence, biosensors, and wearable biomedical systems.
About
About Me
I am an undergraduate student majoring in Biomedical Engineering. My academic background combines biomedical electronics, signal processing, medical imaging, programming, and medical artificial intelligence.
My current interests focus on biomedical signal acquisition and analysis, especially surface EMG signal processing, wearable sensing systems, and AI-assisted biomedical applications.
Education
Education
Undergraduate Student in Biomedical Engineering
School of Biomedical Engineering
Relevant coursework includes Circuit Analysis, Biomedical Electronics, Signals and Systems, Medical Artificial Intelligence, Medical Imaging, and Programming.
Projects
Selected Projects
Dysphagia Monitoring System Design
Designed a wearable monitoring concept based on surface EMG and pressure sensing for swallowing function assessment and dysphagia-related risk screening.
OCT Image Processing and Tissue Analysis
Processed OCT images of normal and abnormal tissue samples, comparing scattering intensity, structural boundaries, and internal texture features.
Sports Injury Analysis Platform
Participated in the design of a biomedical engineering project for motion assessment and injury analysis, combining sensor data, functional requirements, and system-level design.
Skills
Technical Skills
Programming
Python, MATLAB, C, HTML, CSS
Signal Processing
Filtering, FFT, envelope extraction, RMS, MDF, MPF, feature engineering
Biomedical Systems
sEMG acquisition, biosensors, STM32, ADC, wearable sensing systems
Tools
VS Code, GitHub Pages, Excel, ImageJ, Origin
Contact
Contact Me
I am open to academic communication, research opportunities, and project collaboration in biomedical engineering, medical AI, and biomedical signal processing.