MATLAB-Based Classification of Hypokalemia by Principal Component Analysis and k Nearest Neighbor
Authors: 
Ernesto Vergara, Jr., Glenn V. Magwili, Leonardo D. Valiente, Jr., Jill Angielaine S. Morales, Ma. Carmela P. Sapalaran, Kuianne P. Sultea, Liezel Angeline Z. TolaybaAuthors Info & Claims
Ernesto Vergara, Jr., Glenn V. Magwili, Leonardo D. Valiente, Jr., Jill Angielaine S. Morales, Ma. Carmela P. Sapalaran, Kuianne P. Sultea, Liezel Angeline Z. TolaybaAuthors Info & ClaimsPages 263 - 268
Abstract
Hypokalemia can be classified as mild, moderately severe, and severe hypokalemia wherein their serum level is 3.5mEq/L, 3.0mEq/L, and 2.5mEq/L, respectively. This condition tests the serum potassium level through blood extraction. This article presents another way of validation of the reference paper entitled "MATLAB-Based Classification of Hypokalemia by Principal Component Analysis Using Single Lead Electrocardiography (ECG)" without the involvement of actual patients by using ECG records with known hypokalemia and serum potassium levels being fed into the system. The purpose of this article to test the system from printed ECG waveform.
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September 2020
350 pages
ISBN:9781450377249
DOI:10.1145/3397391
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Published: 15 September 2020
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ICBET 2020
ICBET 2020: 2020 10th International Conference on Biomedical Engineering and Technology
September 15 - 18, 2020
Tokyo, Japan
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