Biomedical sensor, portable device, and AI technology for healthcare
Project Description
Continuous non-invasive arterial blood pressure monitoring has long been a major focus in both medical and wearable technology fields—particularly for applications such as perioperative health management, detection of autonomic nervous system disorders, and reduction of the "white coat effect" in blood pressure measurements.

Our research team has recently developed a novel sensor technology that can accurately extract multiple features of blood pressure waveforms, including the dicrotic notch and the closure of the mitral valve.

We are now working on integrating this highly sensitive sensor into wearable devices with the aim of enabling real-world applications at the consumer electronics level.

Students joining this project will gain hands-on experience in the design and implementation of integrated systems—such as developing functional modules based on photoelectric or pressure control principles, as well as designing corresponding flexible printed circuit boards.

Applicants are expected to have basic knowledge in at least one of the following areas: MCU, circuit board design, photoelectric design, or mechanical structure design.
Supervisor
SHEN, Yajing
Quota
2
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
Students are required to work on-site in the laboratory with our team members. The main responsibilities will include one of the following areas:
1. Circuit Board Design and Flexible PCB Manufacturing
Specific tasks include: MCU design, chip selection, functional testing, and corresponding flexible circuit board fabrication.
2. Sub-module Development for the System
Such as optical detection modules or adaptive pressure control modules.
Specific tasks include: design, component selection, fabrication, and functional testing.
3. Overall Structural Design and Device Miniaturization
Focusing on industrial design for device compactness and integration.
Applicant's Learning Objectives
1. To learn knowledge about sensors, biomedical devices and relevant AI technology.
2. To learn skills in hardware and software development.
3. To learn skills in literature review, presentation, and academic report writing.
4. To learn how to solve a research problem through cooperation.
Complexity of the project
Challenging