Energy Efficient Software-hardware Co-design of Quantized Recurrent Convolutional Neural Network for Continuous Cardiac Monitoring-Reference-Cited by-同舟云学术

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Energy Efficient Software-hardware Co-design of Quantized Recurrent Convolutional Neural Network for Continuous Cardiac Monitoring

Published:2023-06-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Hu Jinhai¹,Leow Cong Sheng²,Goh Wang Ling¹,Gao Yuan²

Affiliation:

1. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,Republic of Singapore,639798

2. Institute of Microelectronics (IME),Agency for Science, Technology and Research (A*STAR),Singapore,Republic of Singapore,138634

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168601.pdf?arnumber=10168601

Reference28 articles.

1. ECG Heartbeat Classification: A Deep Transferable Representation

2. A 1D convolutional neural network for heartbeat classification from single lead ECG;li;IEEE Int Conf on Electronics Circuits and Systems (ICECS),2020

3. Rethinking the Inception Architecture for Computer Vision

4. ECG signal classification using convolutional neural networks for biometric identification;cordo?;IEEE Int Conf Telecom and Signal Process (TSP),2021

5. Energy-Efficient Intelligent ECG Monitoring for Wearable Devices

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements in Artificial Intelligence Circuits and Systems (AICAS);Electronics;2023-12-26

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