SwePub
Sök i LIBRIS databas

  Utökad sökning

onr:"swepub:oai:lup.lub.lu.se:911d563e-db93-477d-b1ab-1b9aa0e6c4ba"
 

Sökning: onr:"swepub:oai:lup.lub.lu.se:911d563e-db93-477d-b1ab-1b9aa0e6c4ba" > Performance Evaluat...

Performance Evaluation of QT-RR Adaptation Time Lag Estimation in Exercise Stress Testing

Perez, Cristina (författare)
University of Zaragoza
Pueyo, Esther (författare)
University of Zaragoza
Martinez, Juan Pablo (författare)
University of Zaragoza
visa fler...
Viik, Jari (författare)
University of Tampere
Sornmo, Leif (författare)
Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: Teknik för hälsa,LTH profilområden,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Engineering Health,LTH Profile areas,Faculty of Engineering, LTH
Laguna, Pablo (författare)
University of Zaragoza
visa färre...
 (creator_code:org_t)
2024
2024
Engelska 12 s.
Ingår i: IEEE Transactions on Biomedical Engineering. - 0018-9294. ; , s. 1-12
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: Slower adaptation of the QT interval to sudden changes in heart rate has been identified as a risk marker of ventricular arrhythmia. The gradual changes observed in exercise stress testing facilitates the estimation of the QT-RR adaptation time lag. Methods: The time lag estimation is based on the delay between the observed QT intervals and the QT intervals derived from the observed RR intervals using a memoryless transformation. Assuming that the two types of QT interval are corrupted with either Gaussian or Laplacian noise, the respective maximum likelihood time lag estimators are derived. Estimation performance is evaluated using an ECG simulator which models change in RR and QT intervals with a known time lag, muscle noise level, respiratory rate, and more. The accuracy of T-wave end delineation and the influence of the learning window positioning for model parameter estimation are also investigated. Results: Using simulated datasets, the results show that the proposed approach to estimation can be applied to any changes in heart rate trend as long as the frequency content of the trend is below a certain frequency. Moreover, using a proper position of the learning window for exercise so that data compensation reduces the effect of nonstationarity, a lower mean estimation error results for a wide range of time lags. Using a clinical dataset, the Laplacian-based estimator shows a better discrimination between patients grouped according to the risk of suffering from coronary artery disease. Conclusions: Using simulated ECGs, the performance evaluation of the proposed method shows that the estimated time lag agrees well with the true time lag.

Ämnesord

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Nyckelord

Adaptation models
coronary artery disease
Electrocardiography
Estimation
exercise stress testing
Heart rate
Market research
QT-RR adaptation time lag
QT-RR modeling
simulated ECGs
Stress
Testing

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy