@article{
 title = {Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: Application to ambulatory ischemia monitoring},
 type = {article},
 year = {2000},
 identifiers = {[object Object]},
 keywords = {Automatic ischemia detection,ECG,ST segment deviations,ST-T complex changes},
 pages = {1195-1201},
 volume = {47},
 id = {62455375-4cdb-3583-9f57-6a2fd8cff45e},
 created = {2015-04-30T11:13:55.000Z},
 file_attached = {true},
 profile_id = {5e73f9af-1f10-3a70-a285-d3fbb699efe2},
 group_id = {e134fb94-8118-3ebe-b82d-bfbf0a8ae633},
 last_modified = {2015-04-30T11:21:11.000Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 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.},
 bibtype = {article},
 author = {García, José and Sörnmo, Leif and Olmos, Salvador and Laguna, Pablo},
 journal = {IEEE Transactions on Biomedical Engineering},
 number = {9}
}

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