In this study, the hypothesis being explored is that peak VO2 and potentially other CPET parameters can be accurately estimated from biosignals (namely, motion from accelerometers and cardiopulmonary variables from EKG) collected during activities of daily living using FDA-cleared wearable biosensors worn by study participants. This study will aim to collect data using wearable biosensors from standard of care patients toward the development of an algorithm that can estimate peak VO2 (eVO2peak) from biosensor data. In addition, this study will explore to further develop other estimated measurements typically reported in CPET, such as VE/VCO2 slope, as well as selected and measures of Left Ventricular Function (diastolic and systolic) typically reported in echocardiogram; instead using wearable biosensors from standard of care testing. A total of 2000 participants will be enrolled including: (Normal) 100 participants, self-reported healthy male and female participants aged 18 to 80 and (Standard of Care) 1900 participants.
An Observational, Non-Interventional Study Supporting Validation of eVO2peak Using Results in Patients Receiving Standard of Care Cardiopulmonary Exercise Tests (CPET)