Use smartphone fingertip video to screen and monitor high blood pressure
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
This project will test whether a smartphone fingertip video method can reliably screen and track high blood pressure in adults who are either presumed healthy or referred for suspected hypertension.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 100 (estimated) |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Sponsor | Centre Hospitalier Universitaire Vaudois Academic / other |
| Locations | 2 sites (Lausanne, Canton of Vaud and 1 other locations) |
| Trial ID | NCT06577688 on ClinicalTrials.gov |
What this trial studies
This single-center observational pilot will enroll up to 100 adults divided roughly between presumed healthy volunteers and people referred for suspected hypertension. Participants will record fingertip video signals with a site-provided smartphone while simultaneously taking validated cuff blood pressure readings three times in the morning and three times in the evening for seven consecutive days. Machine-learning models will be trained on features derived from the smartphone recordings and compared directly to the cuff measurements to classify blood pressure in the hypertensive range. The study aims to determine whether the smartphone approach can be reliable for both screening and ongoing home monitoring.
Who should consider this trial
Good fit: Adults aged 18 to 80 who can give informed consent, understand the study language, and can use a smartphone fingertip measurement—either presumed healthy volunteers or people referred for possible hypertension—are ideal candidates.
Not a fit: People who are pregnant, older than 80, have unstable cardiac conditions, end-stage renal disease, diabetes, known arrhythmias, inability to consent or comply, or severe cognitive or language barriers are excluded and unlikely to receive benefit from this protocol.
Why it matters
Potential benefit: If successful, this could make hypertension screening and home monitoring easier and less costly by using only a smartphone instead of a cuff device.
How similar studies have performed: Previous small studies using smartphone photoplethysmography and machine-learning have shown promising but inconsistent accuracy compared with cuff measurements, so the approach is novel and not yet fully validated.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * 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 Exclusion Criteria: * Patients that cannot sign informed consent * Patients in emergency situation, are not legally competent, cannot understand the situation or are vulnerable * Unable to participate due to pain or stress \[12\] * Known or suspected non-compliance (e.g. drug or alcohol abuse, language problems, psychological disorders, dementia) * Patients older than 80 years old \[4\] \[13\] * Known pregnancy * Known unstable cardiac condition (myocardial infarction \< 1 week, decompensated heart failure, pulmonary embolism) * End-stage renal disease (GFR \< 15/min/1.73m2 and/or dialysis) \[4\] \[14\] \[15\] \[16\] * Diabetes mellitus \[15\] \[8\] * Known (or assessed by recording heart rate and using pulse palpation, as recommended in ESC/ESH guidelines \[1\]) cardiac arrhythmia (atrial fibrillation, numerous extrasystoles and important bradycardia/bradyarrhythmia, bigeminy, trigeminy, isolated VPB) \[4\] \[1\] \[7\] \[15\] \[17\] * SBP or DBP difference between two arms \>10 mmHg \[8\] \[18\] * Patient with finger lesions that would alter the correct capture of signals by the mobile phone. * Known mobile phone contact dermatitis (caused by metal allergens, notably nickel and chromium * Incapacity of properly using the smartphone (i.e. incapacity of obtaining a recording with sufficient signal quality after the dedicated training)
Where this trial is running
Lausanne, Canton of Vaud and 1 other locations
- University Hospital Lausanne — Lausanne, Canton of Vaud, Switzerland (Recruiting)
- University Hospital Lausanne CHUV — Lausanne, Switzerland (Recruiting)
Study contacts
- Principal investigator: Patrick Schoettker, PhD — Centre Hospitalier Universitaire Vaudois
- Study coordinator: Patrick Schoettker, Professor
- Email: patrick.schoettker@chuv.ch
- Phone: +41795561043
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.