Wearable Biosensor for Fatigue Monitoring
Team Members: Saransh Sharma
To effectively monitor the health and performance of military personnel under challenging conditions such as extreme weather, resource scarcity, unsanitary environments, and exposure to exotic diseases, we propose the development of an advanced wearable biosensor patch. This innovative device is designed to continuously track a comprehensive range of biomarkers directly from human sweat. It focuses on three primary categories: metabolic biomarkers, vital signs parameters, and immune response biomarkers.
The wearable biosensor leverages cutting-edge technology to analyze these biomarkers in real-time. By integrating machine learning algorithms, the device can accurately predict fatigue levels, providing a crucial and timely understanding of the physical state of military forces, sailors, and athletes. This predictive capability is pivotal in enhancing overall performance and plays a significant role in risk management and injury prevention strategies.
We are currently in the process of designing the sensor patch, which features a high-performance, low-power integrated circuit (IC) chip. This chip is equipped with functionalities critical for efficient biosensing, including multi-channel signal acquisition, advanced data processing capabilities like chopping, amplification, filtering, digitization, and seamless wireless data communication.
The next phase of our project involves rigorous testing and validation. We plan to conduct in vivo trials with human subjects to assess the biosensor’s accuracy, reliability, and practical applicability in real-world scenarios. Through these trials, we aim to fine-tune the device’s functionality and ensure it meets the high standards required for deployment in military and athletic settings. The ultimate goal is to create a reliable, non-invasive tool that offers real-time insights into the physiological condition of individuals operating in demanding environments, thereby contributing significantly to their health, safety, and performance optimization.