Title Blood Pressure Drop Prediction by using HRV Measurements in Orthostatic Hypotension.
Author Sannino, Giovanna; Melillo, Paolo; Stranges, Saverio; De Pietro, Giuseppe; Pecchia, Leandro
Journal J Med Syst Publication Year/Month 2015-Nov
PMID 26345451 PMCID -N/A-
Affiliation 1.Institute of High Performance Computing and Networking (ICAR - CNR), via pietro castellino, 111-80131, Naples, Italy, giovanna.sannino@na.icar.cnr.it.

Orthostatic Hypotension is defined as a reduction of systolic and diastolic blood pressure within 3 minutes of standing, and may cause dizziness and loss of balance. Orthostatic Hypotension has been considered an important risk factor for falls since 1960. This paper presents a model to predict the systolic blood pressure drop due to orthostatic hypotension, relying on heart rate variability measurements extracted from 5 minute ECGs recorded before standing. This model was developed and validated with the leave-one-out cross-validation technique involving 10 healthy subjects, and finally tested with an additional 5 healthy subjects, whose data were not used during the training and cross-validation process. The results show that the model predicts correctly the systolic blood pressure drop in 80 % of all experiments, with an error rate below the measurement error of a sphygmomanometer digital device.

  • Copyright © 2023
    National Institute of Pathogen Biology, CAMS & PUMC, Bejing, China
    All rights reserved.