Abstract
Because of its physiological and clinical importance, heart rate variability (HRV) has been investigated with many techniques, including time-frequency methods. In this study, time-varying frequency changes in the lower bands of continuous wavelet transforms directly computed from ECG signals are quantified with statistical and informationtheoretic measures. These metrics are compared for resting and lower body negative pressure (LBNP) conditions, and with standard HRV metrics. Although the latter confirm the expected lower variability in the LBNP condition, metrics from the main frequency band in the wavelet transform corresponding to the observed range of heart rate (0.5-1.25 Hz) exhibit statistically significant higher variability than baseline conditions. It is proposed that a more complete HRV analysis can emerge when lower-band variability metrics of ECG in the time-frequency domain is used in conjunction with more traditional time and frequency domain approaches.
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© 2015 Springer International Publishing Switzerland
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Wachowiak, M.P., Hay, D.C., Johnson, M.J. (2015). Quantification of Wavelet Band Metrics for Assessing Heart Rate Variability. In: Jaffray, D. (eds) World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada. IFMBE Proceedings, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-319-19387-8_250
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DOI: https://doi.org/10.1007/978-3-319-19387-8_250
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19386-1
Online ISBN: 978-3-319-19387-8
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