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AuthorDong S.
AuthorAzemi G.
AuthorLingwood B.
AuthorColditz P.B.
AuthorBoashash B.
Available date2022-05-31T19:01:39Z
Publication Date2012
Publication Name2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ISSPA.2012.6310477
URIhttp://hdl.handle.net/10576/31935
AbstractAccurate instantaneous frequency (IF) estimation of the non-stationary heart rate signal is important in quantifying the heart rate variability (HRV) measures. This study compares the effectiveness of four IF estimation methods in analyzing HRV signals. Specifically, they are the direct localization of the maximal peaks in the signal time-frequency distribution (TFD), IF estimation based on component linking technique in the TFD, IF estimation using the TFD with optimal windows based on intersection of confidence intervals rule and complex demodulation. Results of applying the IF estimation methods to synthesized and real piglet HRV signals reveal that, the approach using component linking technique outperform the other techniques with respect to the accuracy and implementation. It provides new insights in studying the evolution of the autonomic nervous regulation of the cardiovascular function over time.
Languageen
SubjectCardiovascular function
Complex demodulations
Estimation methods
Heart rate signal
Heart rate variability
Instantaneous frequency
Instantaneous frequency estimation
Intersection of confidence intervals
Multicomponents
Nonstationary
Performance evaluation
Time-frequency distributions
Demodulation
Heart
Information science
Optical variables measurement
Estimation
TitlePerformance evaluation of multi-component instantaneous frequency estimation techniques for heart rate variability analysis
TypeConference Paper
Pagination1211-1216
dc.accessType Abstract Only


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