Chip Development Project
Subproject Three: Chip Development Project
Modern healthcare is rapidly evolving with the miniaturization and smartification of devices, transforming health management methods. This project focuses on the development of wearable sensing technologies and ion sensing models to provide precise and real-time health monitoring tools, enhancing disease diagnosis and recovery efficiency. The key highlights of the research are as follows:
1. Wearable Pressure Sensing Module
We are developing a low-power, high-performance wearable pressure sensing module. The core technology combines liquid metal with biomimetic shark skin structures, forming a highly sensitive and stable self-powered sensing system. This module can instantly capture and analyze gait data, which is crucial for diagnosing neuromuscular diseases and tracking post-operative recovery.
Preliminary studies indicate that the system can accurately distinguish between normal and pathological gaits, providing clinicians with valuable data for disease classification and treatment evaluation. Moreover, gait recovery data collected by the system show a strong correlation with MRI results, particularly in patients with herniated intervertebral discs (HIVD) and anterior cruciate ligament (ACL) tears. This confirms its significant potential for clinical applications. In the future, this technology will integrate real-time data transmission and remote monitoring capabilities to offer more convenient recovery assessments for post-surgical patients.
2. Ion Sensing Model Development
The project has established a comprehensive ion sensing processing workflow, aligning with the development timeline of biomedical signal sensors. Based on existing research, the team optimizes AI algorithms to enhance the precision and stability of the sensing model. This technology is expected to be applicable in various biomedical monitoring scenarios in the future.
Applications and Future Prospects
The development of these technologies will significantly improve the precision and convenience of medical devices, enabling real-time health monitoring, remote data analysis, and personalized health management. In the future, we aim to further integrate multiple sensing technologies, creating a more intelligent medical system that enhances patient treatment outcomes and quality of life.




