NDLI: Predicting hyperkalemia by the use of a 12-lead temporal-spatial electrocardiograph: clinical evaluations and model simulations

Content Provider	IEEE Xplore Digital Library
Author	Tzeng, W.C. Chan, Y.Z. Hsieh, J.C.
Copyright Year	2005
Description	Author affiliation: Chung Hua Univ. (Tzeng, W.C.; Chan, Y.Z.; Hsieh, J.C.)
Abstract	Predicting hyperkalemia by the use of 12-lead electrocardiograph (ECG) is crucial in clinical emergency practice. However, the diagnostic sensitivity of hyperkalemia (serum potassium level >5.0) is from 38% to 54% based on the interpretation of 12-lead ECG reports. In this study, a serial two-staged classifier implanted with K-means algorithm was created to screen hyperkalemia based on feature parameters extracted from 12-lead ECG. The SCP-ECG reports of 56 normal individuals and 41 hyperkalemia patients (serum potassium level >5.3) were collected in the Emergency Department of Wei-Gong Memorial Hospital-Taiwan from January, 2003 through April, 2005. Each of the 12-lead ECG reports was processed to generate two temporal-spatial graphs representing the signals on the limb leads and on chest leads, respectively. The two integrated T-wave volumes shown on the two graphs were selected as the feature parameters of the first staged classifier in screening hyperkalemia. The second staged classifier, which was composed of feature parameters such as PR interval, QRS duration, and QT interval, was used to correct the misclassification from the first stage. A computer program ECGSIM was also adopted to simulate the ECG waveforms from mild to severe hyperkalemia. Based on the results, the classifier showed the sensitivity of 85% (95% CI=77% to 97%) and the specificity of 79% (95 % CI=55% to 97%) in classifying the samples. In conclusion, the two-staged classifier developed in this study shows the ability to extensively and efficiently diagnose patients with hyperkalemia from very mild to severe degrees. In addition, the estimated values of T-wave volumes from clinical data were in accordance with the observation of computer simulations, where T volumes were increased with the increased serum potassium level
Starting Page	215
Ending Page	218
File Size	77996
Page Count	4
File Format	PDF
ISBN	0780393376
DOI	10.1109/CIC.2005.1588075
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Electrocardiography Feature extraction Computer simulation Computational modeling Cardiology Optical wavelength conversion Signal generators Signal processing Heart rate interval
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in