NDLI: Delineation of ECG Wave Components Using K-Nearest Neighbor (KNN) Algorithm: ECG Wave Delineation Using KNN

Content Provider	IEEE Xplore Digital Library
Author	Saini, I. Singh, D. Khosla, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Instrum. & Control Eng., Dr B R Ambedkar Nat. Inst. of Technol. Jalandhar, Jalandhar, India (Singh, D.) \|\| Dept. of Electron. & Commun. Eng., Dr B R Ambedkar Nat. Inst. of Technol. Jalandhar, Jalandhar, India (Saini, I.; Khosla, A.)
Abstract	Detection of the boundaries of electrocardiogram (ECG) characteristic waves with a reasonable accuracy has been a difficult task. As a classical statistical pattern recognition algorithm characterized with high accuracy and stability, KNN has been proposed for locating the waveform boundaries (the onsets and offsets of P, QRS, and T waves) in ECG signals. First, the QRS-complex of each beat is detected from the ECG signal. Next, the onset and offset of each QRS complex are located. The P wave and T wave, relative to each QRS complex along with their onset and offset points, are then identified using this algorithm. Further, QRS duration, heart rate, QT-interval, P-wave duration and PR-interval have also been computed using ECG wave fiducial points. This algorithm is tested on the ECG dataset acquired using $ATRIA^{®}6100$ ECG machine in our own laboratory. The results obtained using the proposed algorithm presented for the assessment of performance, has been compared with the output of inbuilt software based detector of ATRIA machine.
Starting Page	712
Ending Page	717
File Size	264321
Page Count	6
File Format	PDF
ISBN	9780769549675
e-ISBN	9780769549675
DOI	10.1109/ITNG.2013.76
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Software algorithms gradient ECG KNN Classification algorithms Training Heart rate Accuracy intervals Electrocardiography classifier durations
Content Type	Text
Resource Type	Article

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