Coronary Disease
Conditions
Interventions
Will be evaluated 60 individuals, they will wear an electronic device, a shirt for seven consecutive days, for eight hours a day. It has electronic devices that measure biological data such as heart r
Device
E07.305.906
Sponsors
Universidade Federal de São Carlos (UFSCar)
Universidade de Campinas (UNICAMP)
Eligibility
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Will be included volunteers men and women; with a body mass index of less than 35kg / m2; non-alcoholic; non-drug users; non-neurological or osteoarticular disease patients that impede the exercise protocol
Exclusion criteria
Exclusion criteria: Volunteers who exhibit electrocardiographic changes at rest; clinical exercise test (ST segment depression; ventricular; supraventricular arrhythmias; atrial fibrillation; atrioventricular block; sustained supraventricular tachycardia; non-sustained atrial tachycardia) are excluded; do not complete all of the proposed assessments.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Primary outcome is to measure the vital signs collected (heart rate, respiratory rate; hip cadence) by wearables and process these data using the artificial intelligence algorithm method that will predict cardiorespiratory health as a measure of maximal oxygen uptake. | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary outcome is to verify the validity of the predicted maximal oxygen uptake through the wearable system with maximal oxygen uptake directly measured by the exhaled and inspired gas method. | — |
Countries
Brazil
Contacts
Public ContactMaria Frade
Universidade Federal de São Carlos (UFSCar)
Outcome results
None listed