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e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.

Y. Zhao, Y. Zhang, Y. Fu, X. Ouyang, C. Wan, S. Wu, A. Banta, M. John, A. Post, M. Razavi, J. Cavallaro, B. Aazhang, and Y. Lin. CoRR, (2022)

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Hamid Razavi

Malika Mehdi

Ahmad Mehdizadeh

Rasoul Razavi

Regina Razavi

Other publications of authors with the same name

A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa.A. Banta, R. Cosentino, M. John, A. Post, S. Buchan, M. Razavi, and B. Aazhang. Artif. Intell. Medicine, (2021)Manifold Approximating Graph Interpolation of Cardiac Local Activation Time.J. Hellar, R. Cosentino, M. John, A. Post, S. Buchan, M. Razavi, and B. Aazhang. IEEE Trans. Biomed. Eng., 69 (10): 3253-3264 (2022)e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.Y. Zhao, Y. Zhang, Y. Fu, X. Ouyang, C. Wan, S. Wu, A. Banta, M. John, A. Post, M. Razavi and 3 other author(s). VLSI Technology and Circuits, page 252-253. IEEE, (2022)A Multi-site Heart Pacing Study Using Wirelessly Powered Leadless Pacemakers.H. Lyu, M. John, D. Burkland, B. Greet, Y. Xi, L. Sampaio, D. Taylor, M. Razavi, and A. Babakhani. EMBC, page 3434-3437. IEEE, (2018)FBG Sensor for Contact Level Monitoring and Prediction of Perforation in Cardiac Ablation.S. Ho, M. Razavi, A. Nazeri, and G. Song. Sensors, 12 (1): 1002-1013 (2012)RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms.Y. Zhang, A. Banta, Y. Fu, M. John, A. Post, M. Razavi, J. Cavallaro, B. Aazhang, and Y. Lin. ACM J. Emerg. Technol. Comput. Syst., 18 (2): 29:1-29:25 (2022)A low-power digital ASIC for detecting heart-rate and missing beat.S. Nouri, B. Aazhang, M. Razavi, and J. Cavallaro. ACSSC, page 1342-1346. IEEE, (2017)An Energy Harvesting Wireless Leadless Multisite Pacemaker Prototype.Y. Chen, Y. Maguire, C. Tapscott, C. Chivetta, Y. Chen, B. Aazhang, J. Cavallaro, and M. Razavi. ACSSC, page 218-222. IEEE, (2018)RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms.Y. Zhang, A. Banta, Y. Fu, M. John, A. Post, M. Razavi, J. Cavallaro, B. Aazhang, and Y. Lin. CoRR, (2021)e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.Y. Zhao, Y. Zhang, Y. Fu, X. Ouyang, C. Wan, S. Wu, A. Banta, M. John, A. Post, M. Razavi and 3 other author(s). CoRR, (2022)

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Disambiguation of "Razavi, Mehdi"

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e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.

Please choose a person to relate this publication to

Hamid Razavi

Malika Mehdi

Ahmad Mehdizadeh

Rasoul Razavi

Regina Razavi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Razavi, Mehdi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.

Please choose a person to relate this publication to

Hamid Razavi

Malika Mehdi

Ahmad Mehdizadeh

Rasoul Razavi

Regina Razavi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.