Personalized Blood Pressure Care Using IoMTs and Artificial Intelligence

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

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.

Inclusion Criteria:

• 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

Exclusion Criteria:

• 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