An effective heart rate variability processor design based on time-frequency analysis algorithm using windowed lomb periodogram

Shao Yen Tseng*, Wai-Chi  Fang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper, a system for time-frequency analysis of heart rate variability (HRV) using a fast windowed Lomb periodogram is proposed. Time-frequency analysis of HRV is achieved through a de-normalized fast Lomb periodogram with a sliding window configuration. The Lomb time-frequency distribution (TFD) is suited for spectral analysis of unevenly spaced data and has been applied to the analysis of HRV. The system has been implemented in hardware as an HRV processor and verified on FPGA. Simulations show that the proposed Lomb TFD is able to achieve better frequency resolution than short-time Fourier transform of the same hardware size. The proposed system is suitable for portable monitoring devices and as a biomedical signal processor on an system-on-chip (SOC) design.

Original languageEnglish
Title of host publication2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010
Pages82-85
Number of pages4
DOIs
StatePublished - 1 Dec 2010
Event2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010 - Paphos, Cyprus
Duration: 3 Nov 20105 Nov 2010

Publication series

Name2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010

Conference

Conference2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010
CountryCyprus
CityPaphos
Period3/11/105/11/10

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    Tseng, S. Y., & Fang, W-C. (2010). An effective heart rate variability processor design based on time-frequency analysis algorithm using windowed lomb periodogram. In 2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010 (pp. 82-85). [5709576] (2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010). https://doi.org/10.1109/BIOCAS.2010.5709576