Title | A new approach for analysis of heart rate variability and QT variability in long-term ECG recording. | ||
Author | Wu, Hau-Tieng; Soliman, Elsayed Z | ||
Journal | Biomed Eng Online | Publication Year/Month | 2018-May |
PMID | 29720178 | PMCID | PMC5932763 |
Affiliation + expend | 1.Department of Mathematics and Department of Statistical Science, Duke University, 207 Physics Building, 120 Science Dr, Durham, NC, 27705, USA. hauwu@math.duke.edu. |
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.