activity
20202022
most citede-G2C: A 0.14-to-8.31 J/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM

4 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2022★ 4 cited

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

Yang Zhao, Yongan Zhang, Yonggan Fu +10

This work presents the first silicon-validated dedicated EGM-to-ECG (G2C) processor, dubbed e-G2C, featuring continuous lightweight anomaly detection, event-driven coarse/precise c…

cs.AR2021

RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms

Yongan Zhang, Anton Banta, Yonggan Fu +6

There exists a gap in terms of the signals provided by pacemakers (i.e., intracardiac electrogram (EGM)) and the signals doctors use (i.e., 12-lead electrocardiogram (ECG)) to diag…

eess.SP2020★ 3 cited

Nonlinear Regression with a Convolutional Encoder-Decoder for Remote Monitoring of Surface Electrocardiograms

Anton Banta, Romain Cosentino, Mathews M John +4

We propose the Nonlinear Regression Convolutional Encoder-Decoder (NRCED), a novel framework for mapping a multivariate input to a multivariate output. In particular, we implement…