A skin-interfaced wearable biosensor platform for real-time monitoring of fatigue and human performance

Abstract

The quest to sustain the health and performance of military forces is fraught with challenges including drastic weather, hygiene and even exotic diseases for overseas deployment. While the aforementioned conditions are challenging to address; they can be subjectiv ely assessed and managed with proper risk control measures. Fatigue, on the other hand, is ubiquitous yet hard to capture. While dis turbances to cellular homeostasis are intentionally triggered to challenge performance capacity to its upper limit during high-inten sity training; there is currently no approach to accurately identify and define the transition from adequate training to overloading and fatigue. The identification of fatigue and exhaustion in the modern battlefield is not only important for timely intervention a nd injury control but also relevant for self-regulation, workload distribution and situational awareness. In this proposal, we hypot hesize that the quantitative delineation of relevant homeostatic variables using wearables could better capture homeostatic fluctuat ions related to physiological fatigue during operation or training. Our approach is to simultaneously and non-invasively monitor thr ee categories of fatigue biomarkers including metabolic markers, immune response biomarkers, and vital signs using a wearable multim odal sensing platform. Based on a combination of the physiochemical data and machine learning, a more comprehensive fatigue assessme nt system with significantly higher accuracy and robustness can be achieved. This project could provide crucial insight into the fat igue level of sailors and result in significant benefits in improving human performance, risk management and injury prevention throu gh timely intervention.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 20, 2021
Source ID
N000142112483

Entities

People

  • Wei Gao

Organizations

  • California Institute of Technology
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Sensor Fusion and Tracking Systems.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Biotechnology