Automatic segmentation of cardiosynchronous waveforms using cepstral analysis and continuous wavelet transforms

Chandrasekhar Bhagavatula, Aaron Jaech, Marios Savvides, Vijayakumar Bhagavatula, Robert Friedman, Rebecca Blue, Marc O. Griofa

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

4 Scopus citations

Abstract

The cardiosynchronous signal obtained through Radio Frequency Impedance Interrogation (RFII) is a non-invasive method for monitoring hemodynamics with potential applications in combat triage and biometric identification. The RFII signal is periodic in nature dominated by the heart beat cycle. The first step in both of these applications is to segment the signal by identifying a fiducial point in each heart beat cycle. A continuous wavelet transform was utilized to locate the fiducial points with high temporal resolution. Cepstral Analysis was used to estimate the average heart rate to focus on the appropriate portion of the time-frequency spectrum. Robust heartbeats from RFII signals collected from four subjects were segmented using this method.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages2045-2048
Number of pages4
DOIs
StatePublished - Dec 1 2012
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: Sep 30 2012Oct 3 2012

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period9/30/1210/3/12

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Keywords

  • Biomedical
  • Biometrics
  • ECG
  • RFII
  • Wavelets

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Bhagavatula, C., Jaech, A., Savvides, M., Bhagavatula, V., Friedman, R., Blue, R., & Griofa, M. O. (2012). Automatic segmentation of cardiosynchronous waveforms using cepstral analysis and continuous wavelet transforms. In 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 2045-2048). [6467292] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6467292