Valvular & structural heart disease
Wearable SENsor to Diagnose and Assess SEverity of Aortic Stenosis (SENSE-AS)): A Proof-of-Concept Study
Authors' conclusion
A chest-worn multimodal wearable sensor accurately measures AV AT and predicts AV Vmax, supporting the feasibility of accessible, lower-cost tools for early detection and longitudinal monitoring of AS.
Study context
- Population
- Subjects with severe, moderate, and mild aortic stenosis (AS) according to echocardiography guidelines, and controls without ASsubjects enrolled
- Participants
- 40 subjects
- Comparison
- Sensor-derived acceleration time (AT) vs Doppler-derived aortic valve acceleration time
- Severen = 10
- Moderaten = 10
- Mildn = 10
- Controlsn = 10
- Outcome
- Correlation between Doppler-derived AV AT and sensor-derived AT
Methodological detailscontrols age- and sex-matched to the severe AS cohort
- Controls age- and sex-matched to the severe AS cohort
Main finding
As reported in the abstract
R
0.85; 95% CI: 0.73-0.92
P < 0.001
Observational data: associations, not effects.
Secondary outcomes
AT by group
- Progressively longer AT from controls through increasing AS severities
- P < 0.01
Machine learning model predictions on unseen patient data vs aortic valve (AV) Vmax
- R
- 0.76; 95% CI: 0.68-0.83; P < 0.001
- Model trained on a limited subset of AS patient recordings (n = 32)
Baseline characteristics
- Mean age across groups
- 77.8 years
- Female
- 55% (n = 22)
Original publication
Wearable SENsor to Diagnose and Assess SEverity of Aortic Stenosis (SENSE-AS)): A Proof-of-Concept Study. JACC Adv. Published 16 March 2026. doi:10.
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