A wearable cardiac ultrasound imager

Носимый ультразвуковой визуализатор сердца
Xiangjun Chen, Lu Yin, Shengqiang Cai, Sheng Xu, Xinyu Wang, Joseph Wang, Hongjie Hu, Hao Huang, Mohan Li, Xiaoxiang Gao, Ruixiang Qi, Ray S. Wu, Yuxiang Ma, Keren Shi, Chenghai Li, Timothy M. Maus, Brady K. Huang, Chengchangfeng Lu, Muyang Lin, Sai Zhou, Zhiyuan Lou, Yue Gu, Yimu Chen, Yusheng Lei, Ruotao Wang, Wentong Yue, Xinyi Yang, Yizhou Bian, Jing Mu, Geonho Park, Xiang Shu, Paul W. Corey
2023-01-25

continuous cardiac imagingdeep learningejection fractionleft ventricular volumewearable cardiac ultrasound
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.
1
A deep-learning model automatically extracts left-ventricular volume from continuous recordings and generates stroke-volume, cardiac-output and ejection-fraction waveforms.
2
A wearable ultrasonic device enables continuous, real-time and direct imaging-based assessment of cardiac function.
3
Device design and material-fabrication innovations improve mechanical coupling to skin, enabling left-ventricle imaging from multiple views during motion.
4
The device addresses the limitations of conventional bulky cardiac imaging systems and existing wearable devices that capture only surface signals.
5
The technology supports dynamic wearable monitoring of cardiac performance with substantially improved accuracy across various environments.

the human left ventricle and cardiac function in moving individuals

continuous, real-time, direct assessment of cardiac performance, including left-ventricular volume, stroke volume, cardiac output and ejection fraction, under dynamic conditions

Publication Details
Publication Date
2023-01-25
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Authors
Xiangjun Chen
Lu Yin
Shengqiang Cai
Sheng Xu
Xinyu Wang
Joseph Wang
Hongjie Hu
Hao Huang
Mohan Li
Xiaoxiang Gao
Ruixiang Qi
Ray S. Wu
Yuxiang Ma
Keren Shi
Chenghai Li
Timothy M. Maus
Brady K. Huang
Chengchangfeng Lu
Muyang Lin
Sai Zhou
Zhiyuan Lou
Yue Gu
Yimu Chen
Yusheng Lei
Ruotao Wang
Wentong Yue
Xinyi Yang
Yizhou Bian
Jing Mu
Geonho Park
Xiang Shu
Paul W. Corey
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