Reconstruction of the aortic pressure waveform using a two-level adaptive transfer function strategy

Shuo Du, Wenyan Liu, Yang Yao, Guozhe Sun, Ying He, Jordi Alastruey, Lisheng Xu, Yudong Yao, Wei Qian

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Existing studies cannot estimate the high-frequency components of the aortic pressure waveform (APW) practically and reliably. To solve this problem, a two-level adaptive transfer function (ATF) strategy was proposed. Two ATFs were derived from raw and normalized brachial and aortic pressure waveforms. The APW was reconstructed with the amplitude and pulsatility information from the two ATFs. Experimental results showed that our method achieved lower errors for total waveform, diastolic blood pressure, the pressures at the start-systolic and dicrotic-notch points, and three high-frequency-dependent indices including the pressure at inflection point, augmentation index and the time interval from foot to inflection points (3.11 versus 4.24 mmHg, 1.74 versus 1.94 mmHg, 2.56 versus 2.75 mmHg, 6.94 versus 7.47 mmHg, 3.35 versus 3.80 mmHg, 9.56 versus 10.48 % and 24.64 versus 27.73 ms, respectively) compared with traditional generalized transfer function. The proposed method can accurately estimate both the shape and high-frequency components of APW.

Original languageEnglish
Article number112111
JournalMeasurement: Journal of the International Measurement Confederation
Volume204
DOIs
StatePublished - 30 Nov 2022

Keywords

  • Aortic pressure waveform
  • Brachial pressure waveform
  • High-frequency components
  • Two-level adaptive transfer function strategy

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