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Personalized Blood Pressure Care Using IoMTs and Artificial Intelligence

NCT04543656 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2021-09-28

No results posted yet for this study

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.

Conditions

  • Pre-hypertension

Interventions

BEHAVIORAL

AI-Based Lifestyle Recommendations

The intervention provides participants with automated and personalized lifestyle recommendations involving a sophisticated analytics engine using advanced statistics and machine learning.

OTHER

No Lifestyle Recommendations

The control group receives an identical activity tracker and BP monitor in order to objectively assess the effectiveness of the experimental group intervention.

Sponsors & Collaborators

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-10-01
Primary Completion
2022-06-30
Completion
2022-06-30

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04543656 on ClinicalTrials.gov