Efficient Communication Overhead Reduction using Polygonal Approximation-based ECG Signal Compression-Reference-Cited by-同舟云学术

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Efficient Communication Overhead Reduction using Polygonal Approximation-based ECG Signal Compression

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Lee SeungMin,Jeong Yoosoo,Kwak Junho,Park Daejin,Park Kil Houm

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8665865/8668840/08668974.pdf?arnumber=8668974

Cited by 6 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. Comparative Neural Network Based on Template Cluster for Automated Abnormal Beat Detection in Electrocardiogram Signals;HUM-CENT COMPUT INFO;2022

2. Abnormal beat detection from unreconstructed compressed signals based on linear approximation in ECG signals suitable for embedded IoT devices;Journal of Ambient Intelligence and Humanized Computing;2022-04-01

3. Adaptive ECGSignal Compression Method Based on Look-Ahead Linear Approximation for Ultra Long-Term Operating of Healthcare IoT Devices;HUM-CENT COMPUT INFO;2021

4. A Real-Time Abnormal Beat Detection Method Using a Template Cluster for the ECG Diagnosis of IoT Devices;HUM-CENT COMPUT INFO;2021

5. Large-Scale IoT Devices Firmware Identification Based on Weak Password;IEEE Access;2020

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