The electrocardiogram endeavour: from the Holter single-lead recordings to multilead wearable devices supported by computational machine learning algorithms.
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский

The electrocardiogram endeavour: from the Holter single-lead recordings to multilead wearable devices supported by computational machine learning algorithms.

Vardas, Panos;Cowie, Martin;Dagres, Nikolaos;Asvestas, Dimitrios;Tzeis, Stylianos;Vardas, Emmanuel P;Hindricks, Gerhard;Camm, John;
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology 2019
281
vardas2019theeuropace

Abstract

This review aims to provide a comprehensive recapitulation of the evolution in the field of cardiac rhythm monitoring, shedding light in recent progress made in multilead ECG systems and wearable devices, with emphasis on the promising role of the artificial intelligence and computational techniques in the detection of cardiac abnormalities.

Keywords

electrocardiogram machine learning algorithms electrocardiography multilead wearable devices

Access

DOI:
euz249

Citation

ID: 48163
Ref Key: vardas2019theeuropace
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
48163
Unique Identifier:
euz249
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet
Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store

About

Services

Legal

SciMatic © 2014-2025

All Rights Reserved!

Creative Commons License

This website is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License , unless otherwise stated.

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License ,