Publications by authors named "Tarig Ballal"
Combining Machine Learning and Blind Estimation for Central Aortic Blood Pressure Reconstruction.
Annu Int Conf IEEE Eng Med Biol Soc
November 2021
Central blood pressure is a vital signal that provides relevant physiological information about cardiovascular diseases risk factors. The standard clinical protocols for measuring these signals are challenging due to their invasive nature. This makes the estimation-based methods more convenient, however, they are usually not accurate as they fail to capture some important features of the central pressure waveforms.
View Article and Find Full Text PDFBlind Estimation of Central Blood Pressure Using Least-Squares with Mean Matching and Box Constraints.
Annu Int Conf IEEE Eng Med Biol Soc
July 2020
Article Synopsis
- Central aortic blood pressure (CABP) is crucial for assessing cardiovascular health but its measurement is invasive and requires skilled personnel.
- Researchers have developed mathematical techniques to estimate CABP from easier-to-obtain peripheral blood pressure signals, notably through a cross-relation approach and least-squares method.
- This paper presents an enhanced cross-relation method that uses diastolic and systolic pressures as constraints and introduces a mean-matching criterion, resulting in a 20% reduction in error without major increases in computational complexity.
Nocturnal respiration rate parameters were collected from 20 COPD subjects over an 8 week period, to determine if changes in respiration rate were associated with exacerbations of COPD. These subjects were primarily GOLD Class 2 to 4, and had been recently discharged from hospital following a recent exacerbation. The respiration rates were collected using a non-contact radio-frequency biomotion sensor which senses respiratory effort and body movement using a short-range radio-frequency sensor.
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