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A wearable cardiac ultrasound imager.
Hu, Hongjie; Huang, Hao; Li, Mohan; Gao, Xiaoxiang; Yin, Lu; Qi, Ruixiang; Wu, Ray S; Chen, Xiangjun; Ma, Yuxiang; Shi, Keren; Li, Chenghai; Maus, Timothy M; Huang, Brady; Lu, Chengchangfeng; Lin, Muyang; Zhou, Sai; Lou, Zhiyuan; Gu, Yue; Chen, Yimu; Lei, Yusheng; Wang, Xinyu; Wang, Ruotao; Yue, Wentong; Yang, Xinyi; Bian, Yizhou; Mu, Jing; Park, Geonho; Xiang, Shu; Cai, Shengqiang; Corey, Paul W; Wang, Joseph; Xu, Sheng.
Afiliación
  • Hu H; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Huang H; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Li M; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • Gao X; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Yin L; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Qi R; Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
  • Wu RS; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Chen X; Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
  • Ma Y; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Shi K; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Li C; Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
  • Maus TM; Materials Science and Engineering Program, University of California, Riverside, CA, USA.
  • Huang B; Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA, USA.
  • Lu C; Department of Anesthesiology, University of California, San Diego Health Sulpizio Cardiovascular Center, La Jolla, CA, USA.
  • Lin M; Department of Radiology, School of Medicine, University of California San Diego, La Jolla, CA, USA.
  • Zhou S; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • Lou Z; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Gu Y; Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
  • Chen Y; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Lei Y; Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
  • Wang X; Department of Neurosurgery, Yale University, New Haven, CT, USA.
  • Wang R; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Yue W; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Yang X; Department of Chemical Engineering, Stanford University, Stanford, CA, USA.
  • Bian Y; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Mu J; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Park G; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Xiang S; Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
  • Cai S; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Corey PW; Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
  • Wang J; Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
  • Xu S; Softsonics, Inc., San Diego, CA, USA.
Nature ; 613(7945): 667-675, 2023 01.
Article en En | MEDLINE | ID: mdl-36697864
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ecocardiografía / Diseño de Equipo / Dispositivos Electrónicos Vestibles / Corazón Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ecocardiografía / Diseño de Equipo / Dispositivos Electrónicos Vestibles / Corazón Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos