Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Cases. Sep 16, 2022; 10(26): 9207-9218
Published online Sep 16, 2022. doi: 10.12998/wjcc.v10.i26.9207

Table 2 Cardiac arrhythmia classes in the UCI dataset

Class No.	Class name	Number of classes
C1	Normal	245
C2	Ischemic changes (coronary artery diseases)	44
C3	Old anterior myocardial infarction	15
C4	Old inferior myocardial infarction	15
C5	Sinus tachycardy	13
C6	Sinus bradycardy	25
C7	Ventricular premature contraction (pvc)	3
C8	Supraventricular premature contraction	2
C9	Left bundle branch block	9
C10	Right bundle branch block	50
C11	1 Degree antrioventricular block	0
C12	2 Degree AV block	0
C13	3 Degree AV block	0
C14	Left ventricule hypertrophy	4
C15	Atrial fibrillation or flutter	5
C16	Others	22

Citation: Dami S. Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic. World J Clin Cases 2022; 10(26): 9207-9218
URL: https://www.wjgnet.com/2307-8960/full/v10/i26/9207.htm
DOI: https://dx.doi.org/10.12998/wjcc.v10.i26.9207

Dami S. Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic. World J Clin Cases 2022; 10(26): 9207-9218 [PMID: 36159404 DOI: 10.12998/wjcc.v10.i26.9207]

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