The following protocol proposes a mixed methods pilot study, whereby the immediate purpose is to generate quantifiable information regarding the feasibility of a virtual trial with the Hexoskin Platform, collection of data quality in COVID-19 patients, and values for algorithm construction. In essence, sixteen participants with a confirmed COVID-19 diagnosis will be invited to wear the Hexoskin biometric garment during the course of several hours per week, over a period of 28 days. In addition to the biometric data collection, participants will be invited to complete four questionnaires. The biometric data will be combined to the sociodemographic information and patient symptomatology to construct an algorithm which can accurately predict patient outcomes.
This pilot study aims to investigate the feasibility of using Hexoskin cardiorespiratory and activity data, as well as patient symptomatology, to provide an AI model for disease progression that will be at the service of the clinical team to recommend the best customized and evolving care trajectory for each patient.