- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06017687
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
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
- Name: Frederic Frappereau
- Phone Number: 650-229-8604
- Email: study@biospectal.com
Study Locations
-
-
California
-
Truckee, California, United States, 96161
- Recruiting
- Decentralized Trial
-
Contact:
- Frederic Frappereau
- Phone Number: 650-229-8604
- Email: study@biospectal.com
-
-
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:
- 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
Exclusion Criteria:
- 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
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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