Data Collection and Evaluation of OptiBP Under Investigational Use

September 28, 2023 updated by: Biospectal

Data Collection and Evaluation of a Mobile, Machine-learning-based Solution for Blood Pressure Estimation - the OptiBP Study.

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

Participants will simultaneously acquire blood pressure measurements through a cuff-based, automatic, over-the-counter blood pressure monitor on the upper arm, while recording an optical signal through the camera of a smartphone on the tip of the index of the opposite arm.

Study Type

Interventional

Enrollment (Estimated)

500000

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • California
      • Truckee, California, United States, 96161
        • Recruiting
        • Decentralized Trial
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

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

Exclusion Criteria:

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: Principal Arm
Each participant will use the OptiBP Study app on their smartphone
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Collect Blood Pressure (BP) data and assess performance of smartphone based BP estimations models
Time Frame: 12 months
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
Safety by assessing inconvenience and adverse events
Time Frame: 12 months
To identify potential use errors of an app that use the machine-learning model to estimate blood pressure. And to assess safety of the intervention.
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Frederic Frappereau, Biospectal

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 28, 2023

Primary Completion (Estimated)

September 1, 2024

Study Completion (Estimated)

September 1, 2026

Study Registration Dates

First Submitted

August 24, 2023

First Submitted That Met QC Criteria

August 24, 2023

First Posted (Actual)

August 30, 2023

Study Record Updates

Last Update Posted (Actual)

September 29, 2023

Last Update Submitted That Met QC Criteria

September 28, 2023

Last Verified

September 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • US Data Collection Study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The data is anonymized and used for machine learning training

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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