Personalized Blood Pressure Care Using IoMTs and Artificial Intelligence
NCT ID: NCT04543656
Last Updated: 2021-09-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
100 participants
INTERVENTIONAL
2020-10-01
2022-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
SINGLE
Study Groups
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AI-Based Lifestyle Recommendations Group
Participants in this group receive AI-based, personalized lifestyle recommendations based on analysis of their activity tracker and blood pressure data.
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.
Control Group
Participants in this group do not receive the lifestyle recommendations, but are provided with an identical activity tracker and blood pressure monitor.
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.
Interventions
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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.
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.
Eligibility Criteria
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Inclusion Criteria
* 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
* 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
18 Years
ALL
Yes
Sponsors
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University of California, San Diego
OTHER
Responsible Party
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Sujit Dey
Principal Investigator
Locations
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University of California, San Diego
La Jolla, California, United States
Countries
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Central Contacts
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Facility Contacts
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Sujit Dey
Role: primary
Related Links
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Offline and Online Learning Techniques for Personalized Blood Pressure Prediction and Health Behavior Recommendations
Other Identifiers
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1
Identifier Type: -
Identifier Source: org_study_id
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