A wearable cardiac ultrasound imager

Hongjie Hu(University of California San Diego), Hao Huang(University of California San Diego), Mohan Li(University of California San Diego), Xiaoxiang Gao(University of California San Diego), Lu Yin(University of California San Diego), Ruixiang Qi(University of California San Diego), Ray S. Wu(University of California San Diego), Xiangjun Chen(University of California San Diego), Yuxiang Ma(University of California San Diego), Keren Shi(University of California, Riverside), Chenghai Li(University of California San Diego), Timothy M. Maus(University of California San Diego), Brady K. Huang(University of California San Diego), Chengchangfeng Lu(University of California San Diego), Muyang Lin(University of California San Diego), Sai Zhou(University of California San Diego), Zhiyuan Lou(University of California San Diego), Yue Gu(Yale University), Yimu Chen(University of California San Diego), Yusheng Lei(University of California San Diego), Xinyu Wang(University of California San Diego), Ruotao Wang(University of California San Diego), Wentong Yue(University of California San Diego), Xinyi Yang(University of California San Diego), Yizhou Bian(University of California San Diego), Jing Mu(University of California San Diego), Geonho Park(University of California San Diego), Xiang Shu, Shengqiang Cai(University of California San Diego), Paul W. Corey(Sharp Memorial Hospital), Joseph Wang(University of California San Diego), Sheng Xu(University of California San Diego)
Nature
January 25, 2023
10.1038/s41586-022-05498-z
Cited by 592Open Access
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Abstract

Abstract Continuous imaging of cardiac functions is highly desirable for the assessment of long-term cardiovascular health, detection of acute cardiac dysfunction and clinical management of critically ill or surgical patients 1–4 . However, conventional non-invasive approaches to image the cardiac function cannot provide continuous measurements owing to device bulkiness 5–11 , and existing wearable cardiac devices can only capture signals on the skin 12–16 . Here we report a wearable ultrasonic device for continuous, real-time and direct cardiac function assessment. We introduce innovations in device design and material fabrication that improve the mechanical coupling between the device and human skin, allowing the left ventricle to be examined from different views during motion. We also develop a deep learning model that automatically extracts the left ventricular volume from the continuous image recording, yielding waveforms of key cardiac performance indices such as stroke volume, cardiac output and ejection fraction. This technology enables dynamic wearable monitoring of cardiac performance with substantially improved accuracy in various environments.

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