Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.
S, L., H, X., Y, L., X, G., K, C., L, C., M, T., F, W., D, W., & H, L. (2026). Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.. Science advances. https://doi.org/10.1126/sciadv.aed2114
S L, H X, Y L, X G, K C, L C, et al. Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.. Science advances. 2026; doi: 10.1126/sciadv.aed2114
S L, H X, Y L, et al. Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.[J]. Science advances. 2026. DOI: 10.1126/sciadv.aed2114.
@article{s2026,
author = {Lin S and Xu H and Li Y and Ge X and Chen K and Chen L and Tong M and Wang F and Wu D and Lin H},
title = {Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.},
journal = {Science advances},
year = {2026},
doi = {10.1126/sciadv.aed2114},
note = {PMID: 42319947},
}
TY - JOUR AU - Lin S AU - Xu H AU - Li Y AU - Ge X AU - Chen K AU - Chen L AU - Tong M AU - Wang F AU - Wu D AU - Lin H TI - Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity. T2 - Science advances PY - 2026 DO - 10.1126/sciadv.aed2114 AN - PMID:42319947 ER -
Coronary heart disease (CHD) and carotid artery disease (CAD) often co-occur. However, conventional diagnosis typically involves separate, site-by-site examinations after symptoms appear, leading to delayed intervention. In this work, we developed a wearable ultrasound system that enables synchronous monitoring of cardiac and carotid dynamics for comorbidity assessment. The system combines dual wearable ultrasound patches, a synchronous imaging strategy, artificial intelligence-based image processing algorithms, and human circuitry models to automatically extract and analyze key cardiac-carotid metrics, such as heart rate, pulse rate, cardiac volume, cardiac output, and carotid blood pressure. By evaluating the correlation of these metrics between modeling and measurements, we showed the feasibility of differentiating among healthy participants and patients with CAD, CHD, or CAD-CHD comorbidity. This integrated approach constitutes a promising framework for supporting the proactive assessment of coronary-carotid comorbidity.