COMPARISON OF TWO METHODS FOR DEMODULATION OF PULSE SIGNALS – APPLICATION IN CASE OF CENTRAL SLEEP APNEA

Ronan Le Page, Vinh Nguyen Quang, Jean-Marc Goujon, Luiz Poffo, Monique Thual

Abstract


In the field of 24/7 human health monitoring, pervasive computing makes possible the continuous analysis of physiological parameters from an ambulatory device with a great acceptability. This paper presents two methods for obtaining cardiac and respiratory rates from a single arterial pressure signal: AM-FM demodulation and Singular Spectrum Analysis (SSA). With the aim to monitor sleep apnea, two simulated central sleep apnea were performed and recorded with Biopac reference system. The results showed a good evaluation of the cardiac rate with Singular Spectrum Analysis and bad results with AM-FM demodulation. For the respiration rate, some other signals were tested with average results for both methods. Further experiments will deal with real sleep apnea cases and algorithm improvements.

Keywords


Optical pulse signal; AM-FM demodulation; Singular Spectrum Analysis (SSA); Singular Value Decomposition (SVD); Principal or Independent Component Analysis (PCA or ICA); Heart and Respiratory Rates

References


Barschdorff D. and Zhang W. - Respiratory rhythm detection with photoplethysmographic methods, Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers, Proceedings of the 16th Annual International Conference of the IEEE, 1994, pp. 912-913. DOI: 10.1109/IEMBS.1994.415209

Johnston W. S. and Mendelson Y. - Extracting breathing rate information from a wearable reflectance pulse oximeter sensor, Engineering in Medicine and Biology Society, 2004. IEMBS'04, 26th Annual International Conference of the IEEE, 2004, pp. 5388-5390. DOI: 10.1109/IEMBS.2004.1404504

Nilsson L., Johansson A. and Kalman S. - Respiration can be monitored by photoplethysmography with high sensitivity and specificity regardless of anaesthesia and ventilatory mode, Acta Anaesthesiologica Scandinavica 49 (8) (2005) 1157-1162. DOI: 10.1111/j.1399-6576.2005.00721.x

Addison P. S. and Watson J. N. - Secondary Wavelet Feature Decoupling (SWFD) and its use in detecting patient respiration from the photoplethysmogram, Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, 2003, pp. 2602-2605. DOI: 10.1109/IEMBS.2003.1280448

Addison P. S. and Watson J. N. - Secondary Transform Decoupling of Shifted Nonstationary Signal Modulation Components: Application to Photoplethysmography, International Journal of Wavelets, Multiresolution and Information Processing 2 (1) (2004) 43-57. DOI: 10.1142/S0219691304000329

Clifton D., Douglas J. G., Addison P. S. and Watson J. N. - Measurement of Respiratory Rate From the Photoplethysmogram in Chest Clinic Patients, Journal of Clinical Monitoring and Computing 21 (1) (2007) 55-61. DOI: 10.1007/s10877-006-9059-3

Leonard P. A., Beattie T. F., Addison P. S. and Watson J. N. - Standard pulse oximeters can be used to monitor respiratory rate, Emergency Medicine Journal 20 (6) (2003) 524- 525. DOI: 10.1136/emj.20.6.524

Leonard P. A., Beattie T. F., Addison P. S. and Watson J. N. - Wavelet analysis of pulse oximeter waveform permits identification of unwell children, Emergency Medicine Journal 21 (1) (2004) 59-60. DOI: 10.1136/emj.2003.004887

Leonard P. A., Clifton D., Addison P. S., Watson J. N. and Beattie T. - An automated algorithm for determining respiratory rate by photoplethysmogram in children, Acta Paediatrica 95 (9) (2006) 1124-1128. DOI: 10.1080/08035250600612280

Leonard P. A., Douglas J. G., Grubb N. R., Clifton D., Addison P. S. and Watson J. N. - A Fully Automated Algorithm for the Determination of Respiratory Rate from the Photoplethysmogram, Journal of Clinical Monitoring and Computing 20 (1) (2006) 33-36. DOI: 10.1007/s10877-005-9007-7

Leonard P. A., Grubb N. R., Addison P. S, Clifton D. and Watson J. N. - An Algorithm for the Detection of Individual Breaths from the Pulse Oximeter Waveform, Journal of Clinical Monitoring and Computing 18 (5) (2004) 309-312. DOI: 10.1007/s10877-005-2697-z

Iamratanakul S., McNames J. and Goldstein B. - Estimation of respiration from physiologic pressure signals, Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, 2003, pp. 2734-2737. DOI: 10.1109/IEMBS.2003.1280482

McNames J. and Aboy M. - Statistical Modeling of Cardiovascular Signals and Parameter Estimation Based on the Extended Kalman Filter, IEEE Transactions on Biomedical Engineering 55 (1) (2008) 119-129. DOI: 10.1109/TBME.2007.910648

Bruno S. and Scalart P. - Estimation of cardiac and respiratory rhythms based on AM-FM demodulation and an adaptive eigen vector decomposition, 13th European Signal Processing Conference, 2005, pp. 05. HAL Id: inria-00482656

Maragos P., Kaiser J. and Quatieri T. - Energy separation in signal modulations with application to speech analysis, IEEE Transactions on Signal Processing 41 (10) (1993) 3024-3051. DOI: 10.1109/78.277799

Maragos P., Kaiser J. and Quatieri T. - On amplitude and frequency demodulation using energy operators, IEEE Transactions on Signal Processing 41 (4) (1993) 1532-1550. DOI: 10.1109/78.212729

Broomhead D. S. and King P. - Extracting qualitative dynamics from experimental data, Physica D: Nonlinear Phenomena 20 (2-3) (1986) 217-236. DOI: 10.1016/0167-2789(86)90031-X

Ghil M., Allen M. R., Dettinger M. D., Ide K., Kondrashov D., Mann M. E., Robertson A. W., Saunders A., Tian Y., Varadi F. and Yiou P. - Advanced spectral methods for climatic time series, Rev. Geophys 40 (1) (2002) 1003. DOI: 10.1029/2000RG000092

Vautard R. and Ghil M. - Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series, Physica D: Nonlinear Phenomena 35 (3) (1989) 395-424. DOI: 10.1016/0167-2789(89)90077-8

Vautard R., Yiou P. and Ghil M. - Singular-spectrum analysis: a toolkit for short, noisy chaotic signals, Physica D: Nonlinear Phenomena 58 (1-4) (1992) 95-126. DOI: 10.1016/0167-2789(92)90103-T

Yiou P., Sornette D. and Ghil M. - Data-adaptive wavelets and multi-scale singular- spectrum analysis, Physica D: Nonlinear Phenomena 142 (3-4) (2000) 254-290. DOI: 10.1016/S0167-2789(00)00045-2

Schoellhamer D. H. - Singular spectrum analysis for time series with missing data, Geophysical Research Letters 28 (16) (2001) 3187-3190. DOI: 10.1029/2000GL012698

Nguyen Q.V., Le Page R., Goujon J.-M., Guyader P. and Billon M. - Pulse rate analysis in case of central sleep apnea: A new algorithm for cardiac rate estimation, Engineering in Medicine and Biology Society, 2009. EMBC 2009, 31th Annual International Conference of the IEEE, 2009, pp. 5490-5493. DOI: 10.1109/IEMBS.2009.5334561

Schreiber T., Kantz H., Kurths J. and Mayer-Kress G. – Nonlinear analysis of physiological data, Springer, 1998. DOI: 10.1007/978-3-642-71949-3

Carter T. A., Tapia R. A. and Papakonstantinou A. – An introduction to linear algebra for pre-calculus students. Technical report, Rice University, May 1995.




DOI: https://doi.org/10.15625/2525-2518/58/3/14640 Display counter: Abstract : 17 views.

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