Abstract
Falls are a major problem in later life reducing the well-being, mobility and quality of life. One of the main causes of falls is standing hypotension. This paper presents the design and the very preliminary results of a pilot study aiming to investigate if it is possible to predict standing hypotension and in projection those falls due to standing hypotension, using the HRV short term recording to estimate the blood pressure drop-down ((BP) due to fast rising up from a bed. The preliminary results shown that in the 79% of the experiment conducted, the HRV acquired with commercial wearable devices could predict (BP due to standing hypotension with an error below the sphigmomanoter measurement error.
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Sannino, G., Melillo, P., De Pietro, G., Stranges, S., Pecchia, L. (2014). To What Extent It Is Possible to Predict Falls due to Standing Hypotension by Using HRV and Wearable Devices? Study Design and Preliminary Results from a Proof-of-Concept Study. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds) Ambient Assisted Living and Daily Activities. IWAAL 2014. Lecture Notes in Computer Science, vol 8868. Springer, Cham. https://doi.org/10.1007/978-3-319-13105-4_26
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DOI: https://doi.org/10.1007/978-3-319-13105-4_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13104-7
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