Essential Hypertension
Conditions
Interventions
This is a prospective interventional study aimed at developing and validating Artificial Intelligence models to predict the evolution of aging patterns based on the collection of digital biomarkers Al
Sponsors
Escola de Artes, Ciências e Humanidade da Universidade de São Paulo EACH/USP
Escola de Artes, Ciências e Humanidade da Universidade de São Paulo EACH/USP
Eligibility
Age
60 Years to No maximum
Inclusion criteria
Inclusion criteria: Participants must be 60 years of age or older, of either sex; have agreed to participate by signing the Informed Consent Form ICF or the Informed Assent Form IAF for individuals with greater difficulty understanding or associated cognitive impairment; and possess cognitive capacity that allows them to perform the tasks
Exclusion criteria
Exclusion criteria: Participants unable to understand and execute the specific instructions and commands of the intervention, including those with cognitive or behavioral deficits that prevent effective interaction with the games and tasks; individuals with severe visual or auditory impairments that prevent interaction with the extended reality interface, or unstable medical conditions that may compromise their safe participation; withdrawal from the study; failure to adapt to the proposed intervention protocol; use of medications or substances that significantly interfere with motor control; consecutive absences or absence from scheduled sessions
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Develop and validate an Artificial Intelligence (AI) model for classifying aging-related movement patterns, using serious game packages and computational activities based on Extended Reality (ER) | — |
Secondary
| Measure | Time frame |
|---|---|
| No secondary outcomes are expected | — |
Countries
Brazil
Contacts
Public ContactCarlos Monteiro
Escola de Artes, Ciências e Humanidade da Universidade de São Paulo EACH/USP
Outcome results
None listed