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

doi:10.1109/ICIP.2012.6467292

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 proceeding › Conference contribution

5 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 language	English (US)
Title of host publication	2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages	2045-2048
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2012.6467292
State	Published - 2012
Event	2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States Duration: Sep 30 2012 → Oct 3 2012

Publication series

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

Conference

Conference	2012 19th IEEE International Conference on Image Processing, ICIP 2012
Country/Territory	United States
City	Lake Buena Vista, FL
Period	9/30/12 → 10/3/12

Keywords

Biomedical
Biometrics
ECG
RFII
Wavelets

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICIP.2012.6467292

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). Article 6467292 (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6467292

Automatic segmentation of cardiosynchronous waveforms using cepstral analysis and continuous wavelet transforms. / Bhagavatula, Chandrasekhar; Jaech, Aaron; Savvides, Marios et al.
2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings. 2012. p. 2045-2048 6467292 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bhagavatula, C, Jaech, A, Savvides, M, Bhagavatula, V, Friedman, R, Blue, R & Griofa, MO 2012, Automatic segmentation of cardiosynchronous waveforms using cepstral analysis and continuous wavelet transforms. in 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings., 6467292, Proceedings - International Conference on Image Processing, ICIP, pp. 2045-2048, 2012 19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, FL, United States, 9/30/12. https://doi.org/10.1109/ICIP.2012.6467292

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

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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.",

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

Abstract

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Keywords

ASJC Scopus subject areas

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