Assessing the Feasibility of Classifying People Using a Machine-learning Approached Based on Features Derived From Smartphone Video Data Recorded at the Person's Fingertip
The goal of this observational study is to assess the feasibility of classifying people whose blood pressures are within hypertensive range using a machine-learning approach based on features derived from smartphone video data recorded at the patient's fingertips. The main question\[s\] it aims to answer are: Is a smartphone a reliable device for high blood pressure screening ? Is a smartphone a reliable device for blood pressure monitoring ? Participants will record their blood pressure with a smartphone at their fingertips and with an approved cuff device, 3 times in the morning and 3 times in the evening for 7 days. There will be two groups, a volunteer presumed healthy, and a volunteer addressed for a Home Blood pressure monitoring with the diagnosis of hypertension suspected. Researchers will compare the two groups to see if the smartphone can be reliable in terms of diagnosis and monitoring of the blood pressure comparing to a standard cuff device.
• Informed consent as documented by signature
• Men or women older than 18 years old
• Good understanding of written and oral speaking used at the center where the study will be carried out