William Saulnier

dblp:435/2438 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0003-5390-5882ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › vital sign monitoring
blood pressure monitoring
1.012026
VYRE: Low-Burden and Robust Oscillometric Ring-Based System for Frequent Blood Pressure Monitoring · SenSys 2026
Wearable and physiological sensing › smart wearable
smart ring
0.312026
VYRE: Low-Burden and Robust Oscillometric Ring-Based System for Frequent Blood Pressure Monitoring · SenSys 2026

Methods — techniques the papers use, named apart from their topics

vibration sensing · 1.0oscillometry · 1.0lightweight regression model · 1.0
YearPublicationVenuePosition
2026 VYRE: Low-Burden and Robust Oscillometric Ring-Based System for Frequent Blood Pressure Monitoring
abstract
In this paper, we present VYRE, a ring-based oscillometric wearable designed for low-burden and robust frequent blood pressure monitoring. VYRE revisits the clinically established oscillometric method — widely accepted in arm and wrist form factors because of its high accuracy — and extends it to a compact ring form factor, currently realized as a proof-of-concept prototype. The key innovation is the ability to derive oscillometric signals on the finger by inducing controlled inflation and deflation to capture arterial oscillations in response to circumferential tension. This enables accurate estimation of blood flow dynamics within the digital arteries for blood pressure inference. VYRE leverages a lightweight model to estimate systolic and diastolic pressures from the measured oscillations observed from a vibration sensor integrated into the ring. Compared to PPG-based methods, this approach offers significant improvement in robustness to signal drift, ambient light variations, and skin tone differences. Each measurement requires a user-initiated ∼ 40-second quiet hold, after which the system returns systolic and diastolic readings without per-user calibration. In an IRB-approved study involving 71 participants, VYRE achieves mean absolute errors of 6.36 mmHg for systolic and 4.96 mmHg for diastolic pressure relative to a reference cuff, with biases of − 1.27mmHg and 0.0mmHg, respectively. The standard deviations of 7.87 mmHg (SBP) and 6.22 mmHg (DBP) meet the AAMI requirements (≤ 8mmHg), and 95% limits of agreement fall within [ − 16.69, 14.15] mmHg for systolic and [ − 12.2, 12.19] mmHg for diastolic pressure. Correlation with the reference is strong (Pearson r = 0.75 for SBP, r = 0.67 for DBP), confirming consistent tracking. The system maintained accuracy across finger sizes and hand postures. User feedback indicated that 84% of participants rated the device as comfortable or very comfortable, and 70% expressed willingness to use it daily. These results confirm VYRE’s practicality, accuracy, and potential as a compact, on-demand blood pressure monitoring solution.
Amirmohammad Radmehr, Shamanth Kuthpadi Seethakantha, Abdul Aziz 0009, Quang Trung Tran, Aryan Nair, William Saulnier, Deepak Ganesan, Phuc Nguyen 0002
SenSys6