Imperial College London

DrJamesHoward

Faculty of MedicineNational Heart & Lung Institute

Clinical Senior Lecturer in Cardiology (Cardiac MR and AI)
 
 
 
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Contact

 

james.howard1 Website CV

 
 
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Location

 

Block B Hammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ribeiro:2022:10.1016/j.compbiomed.2022.105249,
author = {Ribeiro, HDM and Arnold, A and Howard, JP and Shun-Shin, MJ and Zhang, Y and Francis, DP and Lim, PB and Whinnett, Z and Zolgharni, M},
doi = {10.1016/j.compbiomed.2022.105249},
journal = {COMPUTERS IN BIOLOGY AND MEDICINE},
title = {ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study},
url = {http://dx.doi.org/10.1016/j.compbiomed.2022.105249},
volume = {143},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Ribeiro,HDM
AU - Arnold,A
AU - Howard,JP
AU - Shun-Shin,MJ
AU - Zhang,Y
AU - Francis,DP
AU - Lim,PB
AU - Whinnett,Z
AU - Zolgharni,M
DO - 10.1016/j.compbiomed.2022.105249
PY - 2022///
SN - 0010-4825
TI - ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study
T2 - COMPUTERS IN BIOLOGY AND MEDICINE
UR - http://dx.doi.org/10.1016/j.compbiomed.2022.105249
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000788097600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 143
ER -