ICU-Grade Wearable Sensors with Novel Respiratory Biomarkers to Diagnose and Detect Pre- and Very Early Symptomatic COVID-19 Infection Using Predictive Machine Learning Algorithms.

COVID-19 is a highly contagious respiratory infection that ranges from asymptomatic presentation to fatal, progressive pneumonia. The continued lag in availability of COVID-19 laboratory testing necessitates the need for advanced, non-invasive wearable diagnostic systems that can identify and help isolate pre-symptomatic or early-symptomatic cases by measuring key physiological biomarkers in a continuous, wearable manner. Early symptoms of COVID-19 infections are predictable: fever, cough, shortness of breath, and hypoxia measured by pulse oximetry. Unfortunately, the most popular wearables are unable to measure any of these parameters. Clinical signs such as skin rashes on the toes and patient-reported symptoms such as a loss of smell have been identified as signatures of early infection. Currently, there is a lack wearable diagnostic systems that capture sufficient objective and subjective data specific to COVID-19 for pre and early symptomatic detection. The ANNETM One is a next generation wearable monitoring system that offers ICU-grade measurement parameters and novel respiratory biomarkers specifically relevant to COVID-19. The core innovation lies in the soft, flexible nature of the ANNETM SN (an abbreviation for suprasternal notch) and ANNETM PPG. We hypothesize that the ANNETM One system is one of the most comprehensive wearable monitoring platforms commercially available providing rich, ICU-grade physiological inputs that will serve as the basis for predictive algorithms to detect pre and early COVID-19 infection.