Minimal T-wave representation and its use in the assessment of drug arrhythmogenicity
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Minimal T-wave representation and its use in the assessment of drug arrhythmogenicity. / Shakibfar, Saeed; Graff, Claus; Kanters, Jørgen K; Nielsen, Jimmi; Schmidt, Samuel; Struijk, Johannes J.
I: Annals of Noninvasive Electrocardiology, Bind 22, Nr. 3, e12413, 05.2017.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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TY - JOUR
T1 - Minimal T-wave representation and its use in the assessment of drug arrhythmogenicity
AU - Shakibfar, Saeed
AU - Graff, Claus
AU - Kanters, Jørgen K
AU - Nielsen, Jimmi
AU - Schmidt, Samuel
AU - Struijk, Johannes J
N1 - © 2016 Wiley Periodicals, Inc.
PY - 2017/5
Y1 - 2017/5
N2 - BACKGROUND: Recently, numerous models and techniques have been developed for analyzing and extracting features from the T wave which could be used as biomarkers for drug-induced abnormalities. The majority of these techniques and algorithms use features that determine readily apparent characteristics of the T wave, such as duration, area, amplitude, and slopes.METHODS: In the present work the T wave was down-sampled to a minimal rate, such that a good reconstruction was still possible. The entire T wave was then used as a feature vector to assess drug-induced repolarization effects. The ability of the samples or combinations of samples obtained from the minimal T-wave representation to correctly classify a group of subjects before and after receiving d,l-sotalol 160 mg and 320 mg was evaluated using a linear discriminant analysis (LDA).RESULTS: The results showed that a combination of eight samples from the minimal T-wave representation can be used to identify normal from abnormal repolarization significantly better compared to the heart rate-corrected QT interval (QTc). It was further indicated that the interval from the peak of the T wave to the end of the T wave (Tpe) becomes relatively shorter after IKr inhibition by d,l-sotalol and that the most pronounced repolarization changes were present in the ascending segment of the minimal T-wave representation.CONCLUSIONS: The minimal T-wave representation can potentially be used as a new tool to identify normal from abnormal repolarization in drug safety studies.
AB - BACKGROUND: Recently, numerous models and techniques have been developed for analyzing and extracting features from the T wave which could be used as biomarkers for drug-induced abnormalities. The majority of these techniques and algorithms use features that determine readily apparent characteristics of the T wave, such as duration, area, amplitude, and slopes.METHODS: In the present work the T wave was down-sampled to a minimal rate, such that a good reconstruction was still possible. The entire T wave was then used as a feature vector to assess drug-induced repolarization effects. The ability of the samples or combinations of samples obtained from the minimal T-wave representation to correctly classify a group of subjects before and after receiving d,l-sotalol 160 mg and 320 mg was evaluated using a linear discriminant analysis (LDA).RESULTS: The results showed that a combination of eight samples from the minimal T-wave representation can be used to identify normal from abnormal repolarization significantly better compared to the heart rate-corrected QT interval (QTc). It was further indicated that the interval from the peak of the T wave to the end of the T wave (Tpe) becomes relatively shorter after IKr inhibition by d,l-sotalol and that the most pronounced repolarization changes were present in the ascending segment of the minimal T-wave representation.CONCLUSIONS: The minimal T-wave representation can potentially be used as a new tool to identify normal from abnormal repolarization in drug safety studies.
U2 - 10.1111/anec.12413
DO - 10.1111/anec.12413
M3 - Journal article
C2 - 27785856
VL - 22
JO - Annals of Noninvasive Electrocardiology (Print)
JF - Annals of Noninvasive Electrocardiology (Print)
SN - 1082-720X
IS - 3
M1 - e12413
ER -
ID: 169008779