DOI QR코드

DOI QR Code

Estimation of PTT (Pulse Transit Time) by Multirate Filtering Analysis

다중레이트 필터링 기법을 이용한 맥파전달시간 추정

  • Kim, Hyun-Tae (School of Biomedical Engineering, Konkuk University) ;
  • Kim, Jeong-Hwan (School of Biomedical Engineering, Konkuk University) ;
  • Kim, Kyeong-Seop (Research Institute of Biomedical Engineering, School of Biomedical Engineering, Konkuk University) ;
  • Lee, Jae-Ho (School of Biomedical Engineering, Konkuk University) ;
  • Lee, Jeong-Whan (School of Biomedical Engineering, Konkuk University)
  • 김현태 (건국대학교 대학원 의학공학부) ;
  • 김정환 (건국대학교 대학원 의학공학부) ;
  • 김경섭 (건국대학교 의학공학부) ;
  • 이재호 (건국대학교 대학원 의학공학부) ;
  • 이정환 (건국대학교 대학원 의학공학부)
  • Received : 2013.04.24
  • Accepted : 2013.06.04
  • Published : 2013.07.01

Abstract

Multirate filtering process on the biological signals like Electrocardiogram (ECG) and Photoplethysmogram (PPG) can be defined as the digital signal processing algorithm in which the sampling rate varies to omit or interpolate the intermediate values between the sampled data. With this aim, we suggest a new multirate filtering algorithm by deleting the extraneous data to eliminate the unwanted degradations such as granular noise due to the usage of high sampling frequency and simultaneously to detect the fiducial features of ECG and PPG with reducing the complexity of resolving fiducial points such as R-peak, Pulse peak and Pulse Transit Time (PTT). After the experimental simulations performed, we can conclude the fact that we can detect the fiducial features of ECG and PPG signal in terms of R-peak, Pulse peak and PTT without the loss of accuracy even if we do not maintain the original sampling frequency.

Keywords

References

  1. C. Wei, L. Sheng, G. Lihua, C. Yuquan, P. Min, "Study on Conditioning and Feature Extraction Algorithm of Photoplethysmography Signal for Physiological Parameters Detection," IEEE, 4th International Congress on Image and Signal Processing, pp.2194-2197, 2011.
  2. Hyun-Min Lee, Dong-Jun Kim, "A Study of Performance Enhancement of Period Detection in Pulse Wave," The Transactions of the Korean Institute of Electrical Engineers, vol.58, no.6, pp.1194-1199, 2009.
  3. L. Milic, Multirate Filtering for Digital Signal Processing: MATLAB Applications, Information Science Reference, Hershey PA, 2009.
  4. J. Allen, "Photoplethysmography and Its Application in Clinical Physiological Measurement," Physiol. Meas., vol.28, no.3, pp.R1-R39, 2007. https://doi.org/10.1088/0967-3334/28/3/R01
  5. R. A. Payne, C. N. Symeonides, D. J. Webb and S. R. J. Maxwell, "Pulse Transit Time Measured from the ECG: an Unreliable Marker of Beat-to-Beat Blood Pressure," J. Appl. Physiol., vol.100, pp.136-141, 2006. https://doi.org/10.1152/japplphysiol.00657.2005
  6. Jung-Min Bae, Gyeong-Hun Park, An Illustrated Guide to Medical Statistics Using SPSS, Hannarae, 2012.
  7. Gye-Rok Jeon, Dong-Keun Jung, Gi-Ryun Kim, Bum-Joo Shin, "The Development of Integrated Sensor System for Measuring Simultaneously ECG, PPG and PPW," Journal of the Korea Academia-Industrial Cooperation Society, vol.10, no.5, pp.992-999, 2009. https://doi.org/10.5762/KAIS.2009.10.5.992