A wearable cardiac ultrasound imager

Hongjie Hu, Hao Huang, Mohan Li, Xiaoxiang Gao, Lu Yin, Ruixiang Qi, Ray S. Wu, Xiangjun Chen, Yuxiang Ma, Keren Shi, Chenghai Li, Timothy M. Maus, Brady Huang, Chengchangfeng Lu, Muyang Lin, Sai Zhou, Zhiyuan Lou, Yue Gu, Yimu Chen, Yusheng Lei, Xinyu Wang, Ruotao Wang, Wentong Yue, Xinyi Yang, Yizhou Bian, Jing Mu, Geonho Park, Shu Xiang, Shengqiang Cai, Paul W. Corey, Joseph Wang and Sheng Xu ()
Additional contact information
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 San Diego
Chenghai Li: University of California San Diego
Timothy M. Maus: University of California, San Diego Health Sulpizio Cardiovascular Center
Brady 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: University of California San Diego
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
Shu Xiang: Softsonics, Inc.
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, 2023, vol. 613, issue 7945, 667-675

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 patients1–4. However, conventional non-invasive approaches to image the cardiac function cannot provide continuous measurements owing to device bulkiness5–11, and existing wearable cardiac devices can only capture signals on the skin12–16. 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.

Date: 2023
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Citations: View citations in EconPapers (12)

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DOI: 10.1038/s41586-022-05498-z

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