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.
Study Type
OBSERVATIONAL
Enrollment
2,000
Mayo Clinic Arizona
Scottsdale, Arizona, United States
RECRUITINGVA Palo Alto Healthcare System
Palo Alto, California, United States
RECRUITINGUniversity of California San Francisco
San Francisco, California, United States
RECRUITINGThe Lundquist Institute
Torrance, California, United States
RECRUITINGNemours Cardiac Center
Wilmington, Delaware, United States
RECRUITINGMemorial Healthcare System, Office of Human Research
Hollywood, Florida, United States
RECRUITINGMayo Clinic Florida
Jacksonville, Florida, United States
RECRUITINGNew Generation of Medical Research
Naples, Florida, United States
COMPLETEDphysIQ
Chicago, Illinois, United States
COMPLETEDUniversity of Illinois Hospital & Health Sciences System
Chicago, Illinois, United States
COMPLETED...and 6 more locations
Collect development and validation data for a peak VO2 (eVO2peak) machine learning algorithm and to evaluate the performance of the algorithm.
Develop an Estimated Peak VO2 (eVO2peak) algorithm which will estimate a participant's peak VO2 value using data collected from physiological wearable biosensors (ECG \& Activity).
Time frame: From enrollment to the end of collection at 7 days
Further develop other estimated measurements typically reported in CPET and echocardiogram using wearable biosensors
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.
Time frame: From enrollment to the end of collection at 7 days
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