Literature DB >> 17993319

Dynamic tracking of ischemia in the surface electrocardiogram.

Vladimir Shusterman1, Anna Goldberg, Daniel M Schindler, Kirsten E Fleischmann, Robert L Lux, Barbara J Drew.   

Abstract

BACKGROUND: Accurate detection of the earliest signs of ischemia on the surface electrocardiogram (ECG) is essential for timely diagnosis and management of potentially life-threatening ischemic events. Yet, accuracy of ischemia analysis in ECG monitors remains suboptimal because of a number of confounding factors, including changes in body position and other artifacts. Hence, the goals of this study were (1) to examine the duration and time course of ischemic events and (2) to compare ECG changes caused by "true" ischemic events with those caused by changes in body position. Continuous, 12-lead Holter ECGs obtained from patients who presented to the emergency department with chest pain and enrolled in the Ischemia Monitoring and Mapping in the Emergency Department in Appropriate Triage and Evaluation of Acute Ischemic Myocardium study were analyzed. Holter recordings were initiated within the first 40 minutes after patients' arrival to the emergency department. Here we present preliminary results.
METHODS: Twelve patients (age, 59 +/- 16 years; 5 women, 2 with a final diagnosis of non-ST-segment elevation myocardial infarction, 4 with unstable angina, and 6 with other cardiovascular diseases), in whom ischemic ST deviations were identified on Holter data, underwent 4 consecutive, 2-minute recordings in the following body positions: (1) supine, (2) on the left side, (3) on the right side, and (4) sitting (or standing) upright. After baseline correction, beat-to-beat changes in QRS and ST-T segments were examined in all 8 channels and the root-mean-square curve by using an adaptive algorithm that computes the slope, amplitude, duration, area, and the Karhunen-Loève-derived representation of the corresponding segment. To prevent possible biases toward patients with more frequent ischemic events, a single index event was chosen for analysis in each patient. There were 3 ST-elevation events and 9 ST-depression events; these events reached the maximum ST deviation 11 +/- 8 hours (mean +/- SD) after the beginning of the recording. RESULTS AND
CONCLUSIONS: In most patients with transient myocardial ischemia, the microvolt-level, subthreshold deviation of the ST segment developed gradually, over 15 to 20 minutes, until it reached the maximum, superthreshold level. Despite the different ischemia localizations, the root-mean-square curve allowed accurate detection of significant changes in the ST segment in the studied group (Friedman analysis of variance for repeated measurements over a 1-hour interval). Changes in body position could be identified by tracking dynamics of the QRS pattern/axis. Adaptive algorithms for tracking of the ST dynamics with simultaneous tracking of the patterns of QRS complexes to discriminate the true and "false"-positive events are presented and discussed.

Entities:  

Mesh:

Year:  2007        PMID: 17993319      PMCID: PMC2121619          DOI: 10.1016/j.jelectrocard.2007.06.015

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  11 in total

1.  ACC/AHA Guidelines for Ambulatory Electrocardiography. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Revise the Guidelines for Ambulatory Electrocardiography). Developed in collaboration with the North American Society for Pacing and Electrophysiology.

Authors:  M H Crawford; S J Bernstein; P C Deedwania; J P DiMarco; K J Ferrick; A Garson; L A Green; H L Greene; M J Silka; P H Stone; C M Tracy; R J Gibbons; J S Alpert; K A Eagle; T J Gardner; G Gregoratos; R O Russell; T H Ryan; S C Smith
Journal:  J Am Coll Cardiol       Date:  1999-09       Impact factor: 24.094

2.  Enhancing the precision of ECG baseline correction: selective filtering and removal of residual error.

Authors:  V Shusterman; S I Shah; A Beigel; K P Anderson
Journal:  Comput Biomed Res       Date:  2000-04

3.  Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring.

Authors:  J García; L Sörnmo; S Olmos; P Laguna
Journal:  IEEE Trans Biomed Eng       Date:  2000-09       Impact factor: 4.538

4.  Tracking repolarization dynamics in real-life data.

Authors:  Vladimir Shusterman; Anna Goldberg
Journal:  J Electrocardiol       Date:  2004       Impact factor: 1.438

5.  Detection of transient ST segment episodes during ambulatory ECG monitoring.

Authors:  F Jager; G B Moody; R G Mark
Journal:  Comput Biomed Res       Date:  1998-10

6.  Changes in autonomic activity and ventricular repolarization.

Authors:  V Shusterman; A Beigel; S I Shah; B Aysin; R Weiss; V K Gottipaty; D Schwartzman; K P Anderson
Journal:  J Electrocardiol       Date:  1999       Impact factor: 1.438

7.  Temporal and positional variability of the ST segment during continuous vectorcardiography monitoring in healthy subjects.

Authors:  B L Nørgaard; B M Rasmussen; M Dellborg; K Thygesen
Journal:  J Electrocardiol       Date:  1999-04       Impact factor: 1.438

8.  Clinical consequences of ST-segment changes caused by body position mimicking transient myocardial ischemia: hazards of ST-segment monitoring?

Authors:  B J Drew; M G Adams
Journal:  J Electrocardiol       Date:  2001-07       Impact factor: 1.438

9.  ECG-based detection of body position changes in ischemia monitoring.

Authors:  José García; Magnus Aström; Javier Mendive; Pablo Laguna; Leif Sörnmo
Journal:  IEEE Trans Biomed Eng       Date:  2003-06       Impact factor: 4.538

10.  Detection of body position changes using the surface electrocardiogram.

Authors:  M Aström; J García; P Laguna; O Pahlm; L Sörnmo
Journal:  Med Biol Eng Comput       Date:  2003-03       Impact factor: 3.079

View more
  4 in total

1.  Evaluation of ECG algorithms designed to improve detect of transient myocardial ischemia to minimize false alarms in patients with suspected acute coronary syndrome.

Authors:  Michele M Pelter; Yuan Xu; Richard Fidler; Ran Xiao; David W Mortara; Hu Xiao
Journal:  J Electrocardiol       Date:  2017-10-24       Impact factor: 1.438

2.  The new universal definition of myocardial infarction criteria improve electrocardiographic diagnosis of acute coronary syndrome.

Authors:  Kirsten E Fleischmann; Jessica Zègre-Hemsey; Barbara J Drew
Journal:  J Electrocardiol       Date:  2011 Jan-Feb       Impact factor: 1.438

3.  Cardiac position sensitivity study in the electrocardiographic forward problem using stochastic collocation and boundary element methods.

Authors:  Darrell J Swenson; Sarah E Geneser; Jeroen G Stinstra; Robert M Kirby; Rob S MacLeod
Journal:  Ann Biomed Eng       Date:  2011-09-10       Impact factor: 3.934

4.  Heart rate variability measured early in patients with evolving acute coronary syndrome and 1-year outcomes of rehospitalization and mortality.

Authors:  Patricia R E Harris; Phyllis K Stein; Gordon L Fung; Barbara J Drew
Journal:  Vasc Health Risk Manag       Date:  2014-08-05
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.