Data Collection and Evaluation of a Mobile, Machine-learning-based Solution for Blood Pressure Estimation - the OptiBP Study.
Biospectal
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.
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.
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- Yes
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, pre…
Interventions
- DeviceOptiBP Study app
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.
Location
- Decentralized TrialTruckee, California