Severity-based Hierarchical ECG Classification using Neural Networks

Journal article (2023)

Authors

S.S. Diware Computer Engineering - EEMCS
A.B. Gebregiorgis Computer Engineering - EEMCS
Rajiv V. Joshi IBM Thomas J. Watson Research Centre
C. Strydis Erasmus MC, Computer Engineering - EEMCS
S. Hamdioui Quantum & Computer Engineering
R.K. Bishnoi Computer Engineering - EEMCS
Research Group
Computer Engineering (EEMCS) (TU Delft)
Copyright: © 2023 S.S. Diware, Sudeshna Dash, A.B. Gebregiorgis, Rajiv V. Joshi, C. Strydis, S. Hamdioui, R.K. Bishnoi
DOI
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https://doi.org/10.1109/TBCAS.2023.3242683
Neural networks ECG Computation-in-memory Arrhythmia Severity-based classification Resistive random access memory (RRAM)
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Published Date

2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Computer Engineering