Novel Sensor Algorithm for Monitoring and Improving Warfighter Performance

The explosion of new wearable medical monitoring devices, miniaturized sensors, and artificial intelligence is providing new opportunities to optimize human performance and mitigate the effects of stressors that degrade performance and health within operational settings, particularly for professional athletes. Similar techniques can be used to make tomorrow’s warfighter faster, smarter, and stronger than their adversaries.    In the proposed STTR Project, TDA in collaboration with Texas Tech University, proposes to integrate TDA’s wearable sweat sensor patch with other commercially available wearable devices. The time series biomarker data from the proposed multimodal sensor suite will be used to develop an artificial intelligence-based algorithm to track biophysiological states, including cognitive levels of the warfighter, in the presence of various environmental and physiological stressors. This ultimately will allow us to monitor and improve warfighter performance and health during training and combat. Since, the proposed wearable multimodal sensor suite includes the data on the biomarkers in sweat that provide valuable data on the hydration, stress and cognitive levels of the warfighter, the accuracy of the AI algorithm developed will be significantly better than using just physiological parameters (such as heart rate and motion) from COTS sensors alone.