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Blood Pressure Drop Prediction by using HRV Measurements in Orthostatic Hypotension

  • Systems-Level Quality Improvement
  • Published:
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Abstract

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.

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Authors and Affiliations

  1. Institute of High Performance Computing and Networking (ICAR - CNR), via pietro castellino, 111-80131, Naples, Italy

    Giovanna Sannino & Giuseppe De Pietro

  2. Multidisciplinary Department of Medical, Surgical and Dental Sciences, Second Univiversity of Naples, 80138, Naples, Italy

    Paolo Melillo

  3. Department of Population Health, Luxembourg Institute of Health (LIH), 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg

    Saverio Stranges

  4. School of Engineering, University of Warwick, Warwick, CV47AL, UK

    Leandro Pecchia

Authors
  1. Giovanna Sannino
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  2. Paolo Melillo
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  3. Saverio Stranges
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  4. Giuseppe De Pietro
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  5. Leandro Pecchia
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Correspondence to Giovanna Sannino.

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This article is part of the Topical Collection on Systems-level Quality Improvement.

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Sannino, G., Melillo, P., Stranges, S. et al. Blood Pressure Drop Prediction by using HRV Measurements in Orthostatic Hypotension. J Med Syst 39, 143 (2015). https://doi.org/10.1007/s10916-015-0292-5

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  • DOI: https://doi.org/10.1007/s10916-015-0292-5

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