Orthostatic Hypotension Prediction

Wed, 28 Jun 2017 09:52:50 GMT

The Goal of this project was to develop of a mathematical model for the prediction of orthostatic hypotension by monitoring indirectly those states of Autonomous Nervous System (ANS) and Cardiovascular System (CVS) that are responsible for homeostasis of blood pressure.
The main outcomes of this project have been:

Invited talks:

2016, Invited talk, Leandro Pecchia, “Does Heart Rate Variability (HRV) serve as a potential fall risk factor in the elderly?”, European College of Sport Science (ECSS2016), 6th-9th July 2016, Vienna, Austria
2015, Keynote talk, Leandro Pecchia, “Physiological monitoring and biomedical signal processing for fall prediction in elderly”, World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada.

Publications:

Sannino G, Melillo P, De Pietro G, Stranges S, Pecchia L, (2015) “Short term heart rate variability to predict blood pressure drops due to standing: a pilot study”, BMC Medical Informatics and Decision Making, 2015, 15(S3):S2 doi:10.1186/1472-6947-15-S3-S2
Melillo P, Jovic A, De Luca N and Pecchia L (2015) "An automatic classifier based on heart rate variability to identify fallers among hypertensive subjects", IET Healthcare Technology Letters, 2 (4): p 89-94, DOI: 10.1049/htl.2015.0012
Sannino G, Melillo P, De Pietro G, Stranges S, Pecchia L, (2015) "Blood Pressure Drop Prediction by using HRV measurements in Orthostatic Hypotension", Journal of Medical Systems, 39(11):292 DOI: 10.1007/s10916-015-0292-5

Patents:

PCT application number PCT/GB2015/052581 and No RM2014A000504, title “Method to predict falls”, status “pending”, authors: L Pecchia, S Stranges, P Melillo, G De Pietro, G Sannino, filed the 5^th of September 2014.

School of Engineering » ABSPIE projects (tag [HRV])

Orthostatic Hypotension Prediction