Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring

S. Andruschenko; U. Timm; S. Koball; M. Hinz; A. Riemann; J. Kraitl; E. Lewis; H. Ewald

doi:10.1109/MECBME.2011.5752114

Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring

S. Andruschenko, U. Timm, S. Koball, M. Hinz, A. Riemann, J. Kraitl, E. Lewis, H. Ewald

Department of Electronics & Computer Engineering

University of Rostock

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

Abstract

Noninvasive continuous patient monitoring in real-time is considered to be the Holy Grail of hemodynamic assessment. Early detection of the changes in circulatory parameters prevents potential deseases, organ failures and death. For the purposes of the clinical patient surveillance this goal can be attained by enhancing of the pulse waveform analysis. Pulse oximetry is an established method for the noninvasive measurement of arterial blood saturation and pulse rate. With advances in digital signal processing its range can be expanded for the acquisition of extra diagnostic data. Software algorithms were tested on 46 patients in the dialysis station and intensive care unit (ICU). Continuous wavelet transform (CWT) was used as a tool for complete monitoring of the microdynamics at the sensor site. Spectrum of the microregulatory mechanisms can be represented in 3D-time window by means of the frequency allocation. Wavelet transforms applied to the pulse oximetry signals reveal a great potential for analysis of the cardiovasculatory processes in clinical environment.

Original language	English
Title of host publication	2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
Pages	256-259
Number of pages	4
DOIs	https://doi.org/10.1109/MECBME.2011.5752114
Publication status	Published - 2011
Event	2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011 - Sharjah, United Arab Emirates Duration: 21 Feb 2011 → 24 Feb 2011

Publication series

Name	2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011

Conference

Conference	2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011
Country/Territory	United Arab Emirates
City	Sharjah
Period	21/02/11 → 24/02/11

Keywords

hemodynamic monitoring
noninvasive
pulse plethysmogram
wavelet analysis

Access to Document

10.1109/MECBME.2011.5752114

Cite this

Andruschenko, S., Timm, U., Koball, S., Hinz, M., Riemann, A., Kraitl, J., Lewis, E., & Ewald, H. (2011). Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring. In 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011 (pp. 256-259). Article 5752114 (2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011). https://doi.org/10.1109/MECBME.2011.5752114

@inproceedings{6f3ae722c6a04940aba290866fd5a01e,

title = "Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring",

abstract = "Noninvasive continuous patient monitoring in real-time is considered to be the Holy Grail of hemodynamic assessment. Early detection of the changes in circulatory parameters prevents potential deseases, organ failures and death. For the purposes of the clinical patient surveillance this goal can be attained by enhancing of the pulse waveform analysis. Pulse oximetry is an established method for the noninvasive measurement of arterial blood saturation and pulse rate. With advances in digital signal processing its range can be expanded for the acquisition of extra diagnostic data. Software algorithms were tested on 46 patients in the dialysis station and intensive care unit (ICU). Continuous wavelet transform (CWT) was used as a tool for complete monitoring of the microdynamics at the sensor site. Spectrum of the microregulatory mechanisms can be represented in 3D-time window by means of the frequency allocation. Wavelet transforms applied to the pulse oximetry signals reveal a great potential for analysis of the cardiovasculatory processes in clinical environment.",

keywords = "hemodynamic monitoring, noninvasive, pulse plethysmogram, wavelet analysis",

author = "S. Andruschenko and U. Timm and S. Koball and M. Hinz and A. Riemann and J. Kraitl and E. Lewis and H. Ewald",

year = "2011",

doi = "10.1109/MECBME.2011.5752114",

language = "English",

isbn = "9781424470006",

series = "2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011",

pages = "256--259",

booktitle = "2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011",

note = "2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011 ; Conference date: 21-02-2011 Through 24-02-2011",

}

Andruschenko, S, Timm, U, Koball, S, Hinz, M, Riemann, A, Kraitl, J, Lewis, E & Ewald, H 2011, Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring. in 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011., 5752114, 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011, pp. 256-259, 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011, Sharjah, United Arab Emirates, 21/02/11. https://doi.org/10.1109/MECBME.2011.5752114

Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring. / Andruschenko, S.; Timm, U.; Koball, S. et al.
2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011. 2011. p. 256-259 5752114 (2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011).

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

TY - GEN

T1 - Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring

AU - Andruschenko, S.

AU - Timm, U.

AU - Koball, S.

AU - Hinz, M.

AU - Riemann, A.

AU - Kraitl, J.

AU - Lewis, E.

AU - Ewald, H.

PY - 2011

Y1 - 2011

N2 - Noninvasive continuous patient monitoring in real-time is considered to be the Holy Grail of hemodynamic assessment. Early detection of the changes in circulatory parameters prevents potential deseases, organ failures and death. For the purposes of the clinical patient surveillance this goal can be attained by enhancing of the pulse waveform analysis. Pulse oximetry is an established method for the noninvasive measurement of arterial blood saturation and pulse rate. With advances in digital signal processing its range can be expanded for the acquisition of extra diagnostic data. Software algorithms were tested on 46 patients in the dialysis station and intensive care unit (ICU). Continuous wavelet transform (CWT) was used as a tool for complete monitoring of the microdynamics at the sensor site. Spectrum of the microregulatory mechanisms can be represented in 3D-time window by means of the frequency allocation. Wavelet transforms applied to the pulse oximetry signals reveal a great potential for analysis of the cardiovasculatory processes in clinical environment.

AB - Noninvasive continuous patient monitoring in real-time is considered to be the Holy Grail of hemodynamic assessment. Early detection of the changes in circulatory parameters prevents potential deseases, organ failures and death. For the purposes of the clinical patient surveillance this goal can be attained by enhancing of the pulse waveform analysis. Pulse oximetry is an established method for the noninvasive measurement of arterial blood saturation and pulse rate. With advances in digital signal processing its range can be expanded for the acquisition of extra diagnostic data. Software algorithms were tested on 46 patients in the dialysis station and intensive care unit (ICU). Continuous wavelet transform (CWT) was used as a tool for complete monitoring of the microdynamics at the sensor site. Spectrum of the microregulatory mechanisms can be represented in 3D-time window by means of the frequency allocation. Wavelet transforms applied to the pulse oximetry signals reveal a great potential for analysis of the cardiovasculatory processes in clinical environment.

KW - hemodynamic monitoring

KW - noninvasive

KW - pulse plethysmogram

KW - wavelet analysis

UR - http://www.scopus.com/inward/record.url?scp=79957902730&partnerID=8YFLogxK

U2 - 10.1109/MECBME.2011.5752114

DO - 10.1109/MECBME.2011.5752114

M3 - Conference contribution

AN - SCOPUS:79957902730

SN - 9781424470006

T3 - 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011

SP - 256

EP - 259

BT - 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011

T2 - 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011

Y2 - 21 February 2011 through 24 February 2011

ER -

Andruschenko S, Timm U, Koball S, Hinz M, Riemann A, Kraitl J et al. Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring. In 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011. 2011. p. 256-259. 5752114. (2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011). doi: 10.1109/MECBME.2011.5752114

Extraction of the diagnostic parameters from the pulse plethysmogram during real-time continuous hemodynamic monitoring

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this