Du är här

High frequency QRS electrocardiogram analysis during exercise stress testing for detecting ischemia

Författare:
Publiceringsår: 2008
Språk: Engelska
Sidor: 198-203
Publikation/Tidskrift/Serie: International Journal of Cardiology
Volym: 124
Nummer: 2
Dokumenttyp: Artikel

Sammanfattning

Introduction
ECG stress testing is an inexpensive and non-invasive detector of myocardial ischemia; addition of high-frequency QRS analysis (HFQRS) may improve accuracy. This study compared HFQRS during exercise in patients with and without ischemia as defined by multiple criteria.

Material and methods
High-resolution ECGs were recorded for 139 patients undergoing T99-sestamibi/T201-thallium stress testing. Twenty-three were positive by at least two and 37 were negative for ischemia by all three of the following criteria: nuclear scan, ST-segment analysis and typical angina. Sixty-four not meeting criteria for positive or negative, six with adenosine test and nine patients with ECG recording artifacts were excluded. Mean age of the study group was 62 ± 10 years, 83% were male. Ischemic patients had a higher incidence of previous myocardial infarction and coronary intervention than non-ischemic patients (74% vs. 46%; P = 0.03 and 70% vs. 43%; P = 0.05, respectively), but had a lower body mass index (28.7 ± 5 vs. 33.0 ± 8; P = 0.015). HFQRS analysis consisting of signal averaging (150–250 Hz) and calculation of root mean squared values for each lead at different time points was performed and was similar between the groups. The relative change in HFQRS (RCQ) was calculated for each lead: {(maxHFQRS − minHFQRS) / maxHFQRS}. For each patient an RCQ index was calculated by averaging the two leads with the greatest RCQ value. The RCQ index was greater in ischemic vs. non-ischemic patients (45% vs. 34%; P = 0.0069).

Conclusion
Maximum decrease in HFQRS, as quantified by RCQ index, was greater in ischemic vs. non-ischemic patients. Use of the RCQ index may improve the diagnosis of ischemia during exercise stress testing.

Disputation

Nyckelord

  • Medicine and Health Sciences

Övrigt

Published
Yes
  • Signal Processing Group
  • Signal Processing
  • ISSN: 0167-5273

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu [dot] se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen

LERU logo U21 logo