NDLI: Two layered classification using qualitative and quantitative attributes for QRS complex analysis

Content Provider	IEEE Xplore Digital Library
Author	Kaneko, M. Iseri, F. Sasaki, T. Gotho, T. Ohki, H. Sueda, N.
Copyright Year	2008
Description	Author affiliation: Oita Univ., Oita (Sasaki, T.; Ohki, H.; Sueda, N.) \|\| Fukuda Denshi Co, Ltd., Tokyo (Kaneko, M.; Iseri, F.; Gotho, T.)
Abstract	QRS complex classification in Holter electrocardiogram have been developed using the correlation coefficient methods. However, the accuracy of this traditional classification is not fully satisfied the clinical needs. In this paper, we propose a two-layered classification using qualitative and quantitative attributes. In the first layer, 24 components in a FFT power spectrum for each beat are calculated as the quantitative attributes and are classified using K-means algorithm. In the second layer, the numbers of low, middle and high peaks before/after an R wave are computed as the qualitative attributes and are also classified by the same way. We evaluated our method for ten cases from MIT-BIH arrhythmia databases and compared with a standard cross correlation coefficient method. The classification error rate of the correlation coefficient method and proposed method is 1.10% and 0.79%. We confirmed that the accuracy in our method for the QRS complex analysis is significantly improved.
Starting Page	233
Ending Page	236
File Size	347089
Page Count	4
File Format	PDF
ISBN	9781424437061
ISSN	02766547
DOI	10.1109/CIC.2008.4749020
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Heart beat Humans Error analysis Electrocardiography Sampling methods Shape Spatial databases Feature extraction Frequency domain analysis Cardiology
Content Type	Text
Resource Type	Article

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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
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