Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants.

Yang, Zhuolin; Zhang, Lei; Aras, Kedar; Efimov, Igor R; Adam, Gina C

Yang, Zhuolin; Zhang, Lei; Aras, Kedar; Efimov, Igor R; Adam, Gina C.

Afiliación

Yang Z; Department of Electrical and Computer Engineering, The George Washington University, Washington, DC 20052, USA.
Zhang L; Department of Electrical and Computer Engineering, The George Washington University, Washington, DC 20052, USA.
Aras K; Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA.
Efimov IR; Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA.
Adam GC; Department of Electrical and Computer Engineering, The George Washington University, Washington, DC 20052, USA.

Adv Intell Syst ; 4(8)2022 Aug.

Article en En | MEDLINE | ID: mdl-36035592

Palabras clave

arrhythmia; cardiac implants; cellular neural networks; distributed computing; machine learning; memristors; resistive random access memory; wavefronts

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Adv Intell Syst Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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