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Personalized Blood Pressure Care Using IoMTs and Artificial Intelligence

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

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04543656
Enrollment
100
Registered
2020-09-10
Start date
2020-10-01
Completion date
2022-06-30
Last updated
2021-09-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pre-hypertension

Brief 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.

Interventions

BEHAVIORALAI-Based Lifestyle Recommendations

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

OTHERNo 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

University of California, San Diego
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Average change in systolic blood pressure (SBP) in experimental vs. control groupInitial 2 week data collection, weekly lifestyle recommendations, 6 months totalAverage SBP during the first and last week of a patient's enrollment will be used to calculate SBP change for each patient.
Average change in diastolic blood pressure (DBP) in experimental vs. control groupInitial 2 week data collection, weekly lifestyle recommendations, 6 months totalAverage DBP during the first and last week of a patient's enrollment will be used to calculate DBP change for each patient.

Secondary

MeasureTime frameDescription
Number of patients in experimental group that followed lifestyle recommendationsInitial 2 week data collection, weekly lifestyle recommendations, 6 months totalThis secondary outcome measure is interested in assessing patient engagement within the experimental group. Data from the activity tracker (steps, sleep quality, active minutes, etc.) will be used to assess whether a patient followed the lifestyle recommendations.

Countries

United States

Contacts

Primary ContactSujit Dey, PhD
dey@eng.ucsd.edu8587617518

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026