Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring
(2000) In IEEE Transactions on Biomedical Engineering 47(9). p.1195-1201- Abstract
- A new detector is presented which finds changes in the repolarization phase (ST-T complex) of the cardiac cycle. It operates by applying a detection algorithm to the filtered root mean square (rms) series of differences between the beat segment (ST segment or ST-T complex) and an average pattern segment. The detector has been validated using the European ST-T database, which contains ST-T complex episodes manually annotated by cardiologists, resulting in sensitivity/positive predictivity of 85/86%, and 85/76%, for ST segment deviations and ST-T complex changes, respectively. The proposed detector has a performance similar to those which have a more complicated structure. The detector has the advantage of finding both ST segment deviations... (More)
- A new detector is presented which finds changes in the repolarization phase (ST-T complex) of the cardiac cycle. It operates by applying a detection algorithm to the filtered root mean square (rms) series of differences between the beat segment (ST segment or ST-T complex) and an average pattern segment. The detector has been validated using the European ST-T database, which contains ST-T complex episodes manually annotated by cardiologists, resulting in sensitivity/positive predictivity of 85/86%, and 85/76%, for ST segment deviations and ST-T complex changes, respectively. The proposed detector has a performance similar to those which have a more complicated structure. The detector has the advantage of finding both ST segment deviations and entire ST-T complex changes thereby providing a wider characterization of the potential ischemic events. A post-processing stage, based on a cross-correlation analysis for the episodes in the rms series, is presented. With this stage subclinical events with repetitive pattern were found in around 20% of the recordings and improved the performance to 90/85%, and 89/76%, for ST segment and ST-T complex changes, respectively. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1758871
- author
- Garcia, J. ; Sörnmo, Leif LU ; Olmos, S. and Laguna, P.
- organization
- publishing date
- 2000
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE Transactions on Biomedical Engineering
- volume
- 47
- issue
- 9
- pages
- 1195 - 1201
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:0034283318
- ISSN
- 1558-2531
- DOI
- 10.1109/10.867943
- language
- English
- LU publication?
- yes
- id
- 890eb082-85f2-4d48-acaf-dec873b3e82f (old id 1758871)
- date added to LUP
- 2016-04-04 09:20:08
- date last changed
- 2022-01-29 17:22:20
@article{890eb082-85f2-4d48-acaf-dec873b3e82f,
abstract = {{A new detector is presented which finds changes in the repolarization phase (ST-T complex) of the cardiac cycle. It operates by applying a detection algorithm to the filtered root mean square (rms) series of differences between the beat segment (ST segment or ST-T complex) and an average pattern segment. The detector has been validated using the European ST-T database, which contains ST-T complex episodes manually annotated by cardiologists, resulting in sensitivity/positive predictivity of 85/86%, and 85/76%, for ST segment deviations and ST-T complex changes, respectively. The proposed detector has a performance similar to those which have a more complicated structure. The detector has the advantage of finding both ST segment deviations and entire ST-T complex changes thereby providing a wider characterization of the potential ischemic events. A post-processing stage, based on a cross-correlation analysis for the episodes in the rms series, is presented. With this stage subclinical events with repetitive pattern were found in around 20% of the recordings and improved the performance to 90/85%, and 89/76%, for ST segment and ST-T complex changes, respectively.}},
author = {{Garcia, J. and Sörnmo, Leif and Olmos, S. and Laguna, P.}},
issn = {{1558-2531}},
language = {{eng}},
number = {{9}},
pages = {{1195--1201}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Biomedical Engineering}},
title = {{Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring}},
url = {{http://dx.doi.org/10.1109/10.867943}},
doi = {{10.1109/10.867943}},
volume = {{47}},
year = {{2000}},
}