可穿戴计算机
冲程容积
心室
射血分数
心功能曲线
心脏功能不全
计算机科学
超声波传感器
心脏成像
医学
持续监测
心输出量
心脏超声
可穿戴技术
生物医学工程
超声波
心脏病学
放射科
嵌入式系统
工程类
血流动力学
心力衰竭
运营管理
作者
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 K. Huang,Chengchangfeng Lu,Muyang Lin,Sai Zhou,Zhiyuan Lou,Yue Gu,Yimu Chen,Yusheng Lei
出处
期刊:Nature
[Nature Portfolio]
日期:2023-01-25
卷期号:613 (7945): 667-675
被引量:300
标识
DOI:10.1038/s41586-022-05498-z
摘要
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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