NDLI: Methods for discriminating pre-ectopic sinus beats

Content Provider	IEEE Xplore Digital Library
Author	Cavalcanti, S. Lodi, S. Moro, G. Samorani, M. Sartori, C. Severi, S.
Copyright Year	2008
Description	Author affiliation: Leeds Sch. of Bus., Univ. of Colorado at Boulder, Boulder, CO (Samorani, M.) \|\| DEIS, Univ. degli Studi di Bologna, Cesena (Lodi, S.; Sartori, C.) \|\| DEIS, Univ. degli Studi di Bologna, Bologna (Cavalcanti, S.; Moro, G.; Severi, S.)
Abstract	One hour, high resolution 12-lead ECG recordings were digitally obtained from 10 patients with frequent isolated premature ventricular contraction (PVCs >100/hr). Recordings were processed and single beats were automatically annotated. For each lead one record per beat was generated with 102 quantitative attributes of ECG waveform For each recording, two sets of beats were randomly sampled: 200 isolated regular beats (S1) and 200 isolated premature ventricular beats (S2). In isolated premature ventricular beats the 3 preceding and 3 following beats were normal sinus beats. For each of the 200 ectopic beats, a new record having as attributes the maximum, minimum and average value of every original attribute of the 3 preceding sinus beats. Likewise, we randomly sampled 200 sinus beats such that the 3 preceding and following beats were regular as well, and, for each of the 200, created a record in the same fashion. Every time a beat was sampled, the 3 beats preceding it and the 3 beats following it were deleted from the data set, as well as the sampled beat. Thus, every record of the first set represents a pre-ectopic beat, whereas every record of the second set a non pre-ectopic beat. A two-tailed unpaired Studentpsilas T-test and other experiments not only showed that there is a statistically significant difference between the two sets, but also that, for every patient, one attribute of the new data set allows to discriminate between pre-ectopic beats and non pre-ectopic beats in 80% of the cases. These results indicate that detectable signs of incoming PVC are present in pre-ectopic sinus beats.
Starting Page	909
Ending Page	911
File Size	148005
Page Count	3
File Format	PDF
ISBN	9781424437061
ISSN	02766547
DOI	10.1109/CIC.2008.4749190
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 rate variability Electrocardiography Instruments Heart rate interval Disk recording Statistical analysis Cardiac tissue Microcomputers Digital recording Software packages
Content Type	Text
Resource Type	Article

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