Computational technology of daily blood pressure monitoring results comparison in patients with arterial hypertension
DOI:
https://doi.org/10.14739/2310-1210.2018.3.130459Keywords:
blood pressure monitoring, computational technology, results comparisonAbstract
The evaluation of treatment effectiveness and further patient with arterial hypertension (AH) monitoring require the target level of arterial pressure achievement and its control by means of daily monitoring of blood pressure (DMBP).
Purpose of the work involves development, software implementation and practical approval of computational technology in order to compare the results of patient’s two daily monitoring of blood pressure (DМBP).
Material and methods. The open controlled study included 10 patients with AH at the third stage in long term after a cerebral stroke. Patients were treated according to the regulatory basis. DBPM was conducted using device АВРМ-01 (Meditech, Hungary) twice (before the treatment and after 1 year).
Results comparison of the first and repeated DMBP was carried out by means of proposed computational technology and its own software ArtHyper in which the technology was implemented. The technology is based on the comparison of DMBP indices distribution functions using the two-sample Kolmogorov test and the Wilcoxon test.
Results. The proposed technology work was demonstrated in terms of two patients. The target level of arterial pressure was achieved only for the first patient. The majority of DMAT indices distribution for this patient did not change in a year, in other words, the blood pressure and heart rate remained stable due to the treatment. The level of PBP slightly decreased, but in this case it was a positive factor. The second patient didn’t follow the complete course of treatment and didn’t achieve the target level of blood pressure. His levels of diastolic blood pressure and heart rate increased.
Conclusions. The computational technology of two patient’s DMBP results comparison was developed. Its practical testing was carried out on real data and demonstrated the effectiveness of technology to detect changes in the second results monitoring and the possibility of its application for the evaluation of rehabilitation and treatment efficiency in patients with arterial hypertension.
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