Blood Pressure Estimation Algorithm by a Cuff-Based Monitoring Unit

Authors

  • Elizabeth López-Lozada Instituto Politécnico Nacional, Centro de Investigación en Computación
  • David Peréz-Martínez Instituto Politécnico Nacional, Centro de Investigación en Computación
  • Diana Patricia Barragán-Vázquez Instituto Politécnico Nacional, Centro de Investigación en Computación
  • Yaljá Montiel-Pérez Instituto Politécnico Nacional, Centro de Investigación en Computación
  • Juan Humberto Sossa-Azuela Instituto Politécnico Nacional, Centro de Investigación en Computación

DOI:

https://doi.org/10.13053/cys-27-4-4644

Keywords:

Blood pressure, systolic blood pressure, diastolic blood pressure, oscillometric method

Abstract

Blood pressure is a measurement used to interpret a person’s cardiovascular health. There are invasive and non-invasive methods of obtaining it, including oscillometric methods. The challenge in developing algorithms for estimating blood pressure is accuracy. This metric can vary depending on the device used for measurement and the lack of standard procedures. This work aims to develop an oscillometric algorithm based on a custom cuff-based device. The proposed algorithm consists of a filtering step, then the calculation of the signal envelope, and finally a series of linear operations have been proposed to estimate the systolic and diastolic blood pressure. The presented algorithm achieved a standard deviation and mean absolute error for systolic and diastolic blood pressure of 4.42±6.93 and 3.63±5.82 mmHg, respectively, compared to Omrom’s HEM-7600T.

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Published

2023-12-17

Issue

Vol. 27 No. 4 (2023): 27(4) 2023

Section

Articles

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