An efficient priority‐based convolutional auto‐encoder approach for electrocardiogram signal compression in Internet of Things based healthcare system-Reference-Cited by-同舟云学术

An efficient priority‐based convolutional auto‐encoder approach for electrocardiogram signal compression in Internet of Things based healthcare system

Published:2020-09-28 Issue:1 Volume:32 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Mahendran Rakesh Kumar¹^ORCID,Velusamy Parthasarathy¹,R Parthasarathy²,J Shanmugapriyan³,Pandian Prakash⁴

Affiliation:

1. Department of Electronics and Communication Engineering Vel Tech Multitech Dr.Rangarajan Dr.Sakuthala Engineering College Chennai India

2. Department of Computer Science Madha Engineering College Chennai India

3. Department of Electrical and Electronics Engineering Vel Tech Multitech Dr.Rangarajan Dr.Sakuthala Engineering College Chennai India

4. Department of Electronics and Communication Engineering Madha Engineering College Chennai India

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4115

Reference27 articles.

1. SAMS: A Seamless and Authorized Multimedia Streaming Framework for WMSN-Based IoMT

2. Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG

3. Comparison of arrhythmia detection by conventional Holter and a novel ambulatory ECG system using patch and android app, over 24 h period;Chakkalakkal PK;Indian Pacing Electrophysiol J,2020

4. A fast fractal based compression for MRI images;Liu S;IEEE Access,2019

5. Lossless and Lossy direct compression design with multi‐signal symptom detection for low‐temperature wearable devices;Lin SY;IEEE Sensors J,2018

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