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Using neural network in order to predict hypotension of hemodialysis patients

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5 Author(s)
Abouei, V. ; Dept. of Biomed. Eng, Amirkabir Univ. of Technol. (Tehran Polytech.), Amirkabir, Iran ; Sharifian, H. ; Towhidkhah, F. ; Nafisi, V.
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Hypotension during hemodialysis session is one of the most common problems occurred in about 20% of hemodialysis patients. Now, one of the problems of dialysis departments is to understand this, because it requires continuous monitoring of blood pressure in dialysis patients. To resolve this problem, in this study using data from patient's heart rate and blood concentrations that are recorded non-invasively and using neural network, develop a model, in addition to the mapping of these two parameters on blood pressure, be able to predict the patient pressure. By this neural network model, the error percentage of pressure instantly is 8.9% and the average error percentage of the predicted pressure 9% was obtained. Considering the amount of patient's pressure changes approximately 10-15% will be ignored, and does not produce a particular problem for patients, this model, has the high ability to predict pressure and estimation of situation of the patient.

Published in:

Electrical Engineering (ICEE), 2011 19th Iranian Conference on

Date of Conference:

17-19 May 2011