Pulse transit time estimation from anacrotic photoplethysmography waveforms

Aws Zuhair Sameen, Rosmina Jaafar, M. A.M. Yahya

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

1 Citation (Scopus)

Abstract

Pulse transit time (PTT) is a useful marker that has been used by many researchers to indirectly estimate cardiovascular parameters. Photoplethysmogram (PPG) is one of the most common waveforms used for the estimation of PTT. In this paper, we propose a new method to estimate the PTT from the anacrotic phase of the PPG signal using autoregressive with exogenous (ARX) system identification approach. The results show that the proposed method produces lower model order, higher average model fitness and the resulting PTT values are in the same range of PTT values as estimated trough the traditional method.

Original languageEnglish
Title of host publicationProceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
Volume2018-March
ISBN (Electronic)9781538619087
DOIs
Publication statusPublished - 7 Mar 2018
Event2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017 - Melaka, Malaysia
Duration: 27 Nov 201729 Nov 2017

Other

Other2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017
CountryMalaysia
CityMelaka
Period27/11/1729/11/17

Fingerprint

Photoplethysmography
Pulse Wave Analysis
Waveform
Identification (control systems)
System Identification
Estimate
Fitness
Research Personnel
Higher Order
Model
Range of data

Keywords

  • ARX model
  • Linear Systems
  • Photoplethysmography (PPG)
  • Pulse Transit Time (PTT)
  • Signal Processing
  • System Identification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems and Management
  • Control and Optimization
  • Health Informatics

Cite this

Sameen, A. Z., Jaafar, R., & Yahya, M. A. M. (2018). Pulse transit time estimation from anacrotic photoplethysmography waveforms. In Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017 (Vol. 2018-March, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICORAS.2017.8308043

Pulse transit time estimation from anacrotic photoplethysmography waveforms. / Sameen, Aws Zuhair; Jaafar, Rosmina; Yahya, M. A.M.

Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017. Vol. 2018-March Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.

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

Sameen, AZ, Jaafar, R & Yahya, MAM 2018, Pulse transit time estimation from anacrotic photoplethysmography waveforms. in Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017. vol. 2018-March, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017, Melaka, Malaysia, 27/11/17. https://doi.org/10.1109/ICORAS.2017.8308043
Sameen AZ, Jaafar R, Yahya MAM. Pulse transit time estimation from anacrotic photoplethysmography waveforms. In Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017. Vol. 2018-March. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4 https://doi.org/10.1109/ICORAS.2017.8308043
Sameen, Aws Zuhair ; Jaafar, Rosmina ; Yahya, M. A.M. / Pulse transit time estimation from anacrotic photoplethysmography waveforms. Proceeding of 2017 International Conference on Robotics, Automation and Sciences, ICORAS 2017. Vol. 2018-March Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4
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abstract = "Pulse transit time (PTT) is a useful marker that has been used by many researchers to indirectly estimate cardiovascular parameters. Photoplethysmogram (PPG) is one of the most common waveforms used for the estimation of PTT. In this paper, we propose a new method to estimate the PTT from the anacrotic phase of the PPG signal using autoregressive with exogenous (ARX) system identification approach. The results show that the proposed method produces lower model order, higher average model fitness and the resulting PTT values are in the same range of PTT values as estimated trough the traditional method.",
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