Summary

Eligibility
for people ages 18 years and up (full criteria)
Healthy Volunteers
healthy people welcome
Location
at La Jolla, California
Dates
study started
estimated completion
Principal Investigator
by Sujit Dey

Description

Summary

In this RCT, up to 100 adults classified as pre-hypertensive will be randomized to either an artificial intelligence (AI) based lifestyle intervention group or an active control group with a 1 to 1 ratio. Both groups will receive an identical activity tracker (Samsung Galaxy Watch) and BP monitor (Omron Evolv). The AI intervention group will receive automated and personalized lifestyle recommendations based on their lifestyle (e.g. sleep, exercise and diet) and blood pressure (BP) data, involving an automated analytics engine using statistics and machine learning. The active control group will not receive these lifestyle recommendations. The investigators aim to assess objectively the effectiveness of the AI-based personalized lifestyle recommendations on the patients BP.

Official Title

Personalized Blood Pressure Care for Prehypertensive Patients Using IoMTs and Artificial Intelligence

Keywords

Pre-hypertension Prehypertension AI-Based Lifestyle Recommendations No Lifestyle Recommendations

Eligibility

You can join if…

Open to people ages 18 years and up

  • age ≥18 years
  • SBP between 130 mmHg to 139 mmHg or/and DBP between 80 to 89 mmHg in a research office
  • speaking and reading English
  • having an iPhone 8 or newer or an Android x or newer

You CAN'T join if...

  • currently taking antihypertensive medication
  • self-reported diagnosis of coronary heart disease, medical condition or other physical problem necessitating special attention in an exercise program (e.g., cancer, eating disorder, uncontrolled diabetes)
  • current participation in a lifestyle modification program or research study
  • self-report of being currently pregnant

Location

  • University of California, San Diego
    La Jolla California 92093 United States

Lead Scientist at UCSD

  • Sujit Dey
    Professor, Electrical and Computer Engineering.

Details

Status
not yet accepting patients
Start Date
Completion Date
(estimated)
Sponsor
University of California, San Diego
Links
Offline and Online Learning Techniques for Personalized Blood Pressure Prediction and Health Behavior Recommendations
ID
NCT04543656
Study Type
Interventional
Last Updated