Machine learning enabled ECG monitoring for early detection of hyperkalaemia

Constance  Farrell; Muhammad Zeeshan Shakir

doi:10.1049/pbpc034e_ch14

Machine learning enabled ECG monitoring for early detection of hyperkalaemia

Constance Farrell^*, Muhammad Zeeshan Shakir

^*Corresponding author for this work

School of Computing, Engineering and Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

215 Downloads (Pure)

Original language	English
Title of host publication	AI for Emerging Verticals
Subtitle of host publication	Human-Robot Computing, Sensing and Networking
Editors	Muhammad Zeeshan Shakir, Naeem Ramzan
Publisher	IET
Chapter	14
Edition	2020
ISBN (Electronic)	9781785619830
ISBN (Print)	9781785619823
DOIs	https://doi.org/10.1049/pbpc034e_ch14
Publication status	Published - 30 Nov 2020

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1049/pbpc034e_ch14

2020 04 10 Shakir et al Machine acceptedAccepted author manuscript, 351 KB

https://shop.theiet.org/ai-for-emerging-verticals

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title = "Machine learning enabled ECG monitoring for early detection of hyperkalaemia",

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Machine learning enabled ECG monitoring for early detection of hyperkalaemia

UN SDGs

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AI for Emerging Verticals: Human-Robot Computing, Sensing and Networking

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