NCT06017687

Brief Summary

The purpose of this study is to collect data to develop and evaluate the use of state-of-the-art machine learning approaches within a mobile phone application for the estimation of blood pressure.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
500,000

participants targeted

Target at P75+ for not_applicable

Timeline
4mo left

Started Sep 2023

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress89%
Sep 2023Sep 2026

First Submitted

Initial submission to the registry

August 24, 2023

Completed
6 days until next milestone

First Posted

Study publicly available on registry

August 30, 2023

Completed
29 days until next milestone

Study Start

First participant enrolled

September 28, 2023

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2024

Completed
2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2026

Expected
Last Updated

September 29, 2023

Status Verified

September 1, 2023

Enrollment Period

11 months

First QC Date

August 24, 2023

Last Update Submit

September 28, 2023

Conditions

Outcome Measures

Primary Outcomes (1)

  • Collect Blood Pressure (BP) data and assess performance of smartphone based BP estimations models

    To collect data to train a machine-learning based solution for estimating blood pressure. Participants will simultaneously acquire blood pressure measurements through a cuff-based, automatic, over-the-counter blood pressure monitor at the upper arm, while recording an optical signal through the camera of a smartphone on the tip of the index of the opposite arm. The performance of the machine learning model will be assessed by calculating the mean and standard deviation of the error of blood pressure estimations versus cuff-based, automatic, over-the-counter blood pressure monitors.

    12 months

Secondary Outcomes (1)

  • Safety by assessing inconvenience and adverse events

    12 months

Study Arms (1)

Principal Arm

OTHER

Each participant will use the OptiBP Study app on their smartphone

Device: OptiBP Study app

Interventions

Each participant will use OptiBP Study app to measure their blood pressure optically by applying their fingertip to their smartphone camera, and subsequently enter the blood pressure values obtained by measuring it with their own blood pressure cuff.

Principal Arm

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Be at least 18 years old (at least 19 years old in Alabama and Nebraska, at least 21 years old in Puerto Rico);
  • Live in the United States of America
  • Have an Android smartphone
  • Have access to an arm-worn blood pressure monitor (cuff)
  • Have access to the Google Play store to download the OptiBP study app on their phone
  • Be comfortable communicating in written and spoken English
  • Be willing and able to provide informed consent to participate in the study

You may not qualify if:

  • Known contact dermatitis to nickel/chromium
  • Lesion or deficiency on hand, preventing placing a finger on the smartphone camera
  • Known dysrhythmia like bigeminy, trigeminy, isolated VPB, atrial fibrillation

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Decentralized Trial

Truckee, California, 96161, United States

RECRUITING

Study Officials

  • Frederic Frappereau

    Biospectal

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Frederic Frappereau

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
OTHER
Intervention Model
SINGLE GROUP
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 24, 2023

First Posted

August 30, 2023

Study Start

September 28, 2023

Primary Completion

September 1, 2024

Study Completion (Estimated)

September 1, 2026

Last Updated

September 29, 2023

Record last verified: 2023-09

Data Sharing

IPD Sharing
Will not share

The data is anonymized and used for machine learning training

Locations