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A new approach for analysis of heart rate variability and QT variability in long-term ECG recording

BACKGROUND AND PURPOSE: With the emergence of long-term electrocardiogram (ECG) recordings that extend several days beyond the typical 24–48 h, the development of new tools to measure heart rate variability (HRV) and QT variability is needed to utilize the full potential of such extra-long-term ECG...

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Detalles Bibliográficos
Autores principales: Wu, Hau-Tieng, Soliman, Elsayed Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932763/
https://www.ncbi.nlm.nih.gov/pubmed/29720178
http://dx.doi.org/10.1186/s12938-018-0490-8
Descripción
Sumario:BACKGROUND AND PURPOSE: With the emergence of long-term electrocardiogram (ECG) recordings that extend several days beyond the typical 24–48 h, the development of new tools to measure heart rate variability (HRV) and QT variability is needed to utilize the full potential of such extra-long-term ECG recordings. METHODS: In this report, we propose a new nonlinear time–frequency analysis approach, the concentration of frequency and time (ConceFT), to study the HRV QT variability from extra-long-term ECG recordings. This approach is a generalization of Short Time Fourier Transform and Continuous Wavelet Transform approaches. RESULTS: As proof of concept, we used 14-day ECG recordings to show that the ConceFT provides a sharpened and stabilized spectrogram by taking the phase information of the time series and the multitaper technique into account. CONCLUSION: The ConceFT has the potential to provide a sharpened and stabilized spectrogram for the heart rate variability and QT variability in 14-day ECG recordings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12938-018-0490-8) contains supplementary material, which is available to authorized users.