@article{
 title = {Real-time QT interval measurement},
 type = {article},
 year = {2000},
 identifiers = {[object Object]},
 keywords = {- qt interval,real-time},
 pages = {2288-2290},
 volume = {3},
 id = {2f488753-ff70-3f5d-9e10-e7a1bac709f1},
 created = {2015-04-30T11:14:31.000Z},
 file_attached = {true},
 profile_id = {5e73f9af-1f10-3a70-a285-d3fbb699efe2},
 group_id = {e134fb94-8118-3ebe-b82d-bfbf0a8ae633},
 last_modified = {2015-04-30T12:34:20.000Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 abstract = {A real-time QT interval measurement algorithm was developed and
preliminary tested. Three ECG leads (I, II and V5) were digitized
simultaneously at a rate of 500 samples by second during five minutes;
twenty patients were studied. The resulting signal was filtered in order
to reject noise and avoid baseline wander. A Function of Spatial
Velocity was used as a QRS detector, complexes were classified in PVC
and non-PVC. Morphological features and a difference area function were
used to classify the complexes. When a non-PVC was found, a squared
slope function was computed for samples corresponding to the 60% of the
next RR interval. The maximum of this function was always after the T
wave peak and two samples, one after and other before this maximum, were
used to estimate a tangential line to the signal in this zone. The
intercept of this tangential line with the isoelectric line was defined
as the end of the T wave and the QT interval was the distance between
the QRS onset and this point. Two cardiologists measured some QT
intervals aided by a graphic computer program separately and the mean
value of these measurements were used as a golden rule to evaluate the
proposed algorithm. The QT intervals measured were randomly selected.
The absolute difference between the algorithm and cardiologists
measurements was never greater than 22 ms and the mean difference was
9.946 ms},
 bibtype = {article},
 author = {Gonzalez, R. and Fernandez, R. and Raola, M. Del Carmen},
 journal = {Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143)}
}

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Three ECG leads (I, II and V5) were digitized\nsimultaneously at a rate of 500 samples by second during five minutes;\ntwenty patients were studied. The resulting signal was filtered in order\nto reject noise and avoid baseline wander. A Function of Spatial\nVelocity was used as a QRS detector, complexes were classified in PVC\nand non-PVC. Morphological features and a difference area function were\nused to classify the complexes. When a non-PVC was found, a squared\nslope function was computed for samples corresponding to the 60% of the\nnext RR interval. The maximum of this function was always after the T\nwave peak and two samples, one after and other before this maximum, were\nused to estimate a tangential line to the signal in this zone. The\nintercept of this tangential line with the isoelectric line was defined\nas the end of the T wave and the QT interval was the distance between\nthe QRS onset and this point. Two cardiologists measured some QT\nintervals aided by a graphic computer program separately and the mean\nvalue of these measurements were used as a golden rule to evaluate the\nproposed algorithm. The QT intervals measured were randomly selected.\nThe absolute difference between the algorithm and cardiologists\nmeasurements was never greater than 22 ms and the mean difference was\n9.946 ms","bibtype":"article","author":"Gonzalez, R. and Fernandez, R. and Raola, M. Del Carmen","journal":"Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143)","bibtex":"@article{\n title = {Real-time QT interval measurement},\n type = {article},\n year = {2000},\n identifiers = {[object Object]},\n keywords = {- qt interval,real-time},\n pages = {2288-2290},\n volume = {3},\n id = {2f488753-ff70-3f5d-9e10-e7a1bac709f1},\n created = {2015-04-30T11:14:31.000Z},\n file_attached = {true},\n profile_id = {5e73f9af-1f10-3a70-a285-d3fbb699efe2},\n group_id = {e134fb94-8118-3ebe-b82d-bfbf0a8ae633},\n last_modified = {2015-04-30T12:34:20.000Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n abstract = {A real-time QT interval measurement algorithm was developed and\npreliminary tested. Three ECG leads (I, II and V5) were digitized\nsimultaneously at a rate of 500 samples by second during five minutes;\ntwenty patients were studied. The resulting signal was filtered in order\nto reject noise and avoid baseline wander. A Function of Spatial\nVelocity was used as a QRS detector, complexes were classified in PVC\nand non-PVC. Morphological features and a difference area function were\nused to classify the complexes. When a non-PVC was found, a squared\nslope function was computed for samples corresponding to the 60% of the\nnext RR interval. The maximum of this function was always after the T\nwave peak and two samples, one after and other before this maximum, were\nused to estimate a tangential line to the signal in this zone. The\nintercept of this tangential line with the isoelectric line was defined\nas the end of the T wave and the QT interval was the distance between\nthe QRS onset and this point. Two cardiologists measured some QT\nintervals aided by a graphic computer program separately and the mean\nvalue of these measurements were used as a golden rule to evaluate the\nproposed algorithm. The QT intervals measured were randomly selected.\nThe absolute difference between the algorithm and cardiologists\nmeasurements was never greater than 22 ms and the mean difference was\n9.946 ms},\n bibtype = {article},\n author = {Gonzalez, R. and Fernandez, R. and Raola, M. Del Carmen},\n journal = {Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143)}\n}","author_short":["Gonzalez, R.","Fernandez, R.","Raola, M., D., C."],"urls":{"Paper":"http://bibbase.org/service/mendeley/5e73f9af-1f10-3a70-a285-d3fbb699efe2/file/44d46952-3fe3-e63f-4268-856abd69fd7a/2000-Real-time_QT_interval_measurement.pdf.pdf"},"bibbaseid":"gonzalez-fernandez-raola-realtimeqtintervalmeasurement-2000","role":"author","keyword":["- qt interval","real-time"],"downloads":0},"search_terms":["real","time","interval","measurement","gonzalez","fernandez","raola"],"keywords":["- qt interval","real-time"],"authorIDs":[]}