КОМПЬЮТЕРНАЯ АУСКУЛЬТАЦИЯ ПРИ ГЕМОДИНАМИЧЕСКИХ РАССТРОЙСТВАХ У НЕДОНОШЕННЫХ НОВОРОЖДЕННЫХ

Tetiana Mavropulo; Victoriia Shelevytska

doi:10.30888/2663-5712.2020-06-02-052

Authors

Tetiana Mavropulo Dnipropetrovsk Medical Academy of the Ministry of Health of Ukraine https://orcid.org/0000-0001-9351-3080
Victoriia Shelevytska Dnipropetrovsk Medical Academy of the Ministry of Health of Ukraine https://orcid.org/0000-0002-6941-6843

DOI:

https://doi.org/10.30888/2663-5712.2020-06-02-052

Keywords:

сomputer-aided auscultation; hemodynamic disorders; preterm neonates

Abstract

The purpose was to study the data of computer-aided auscultation in hemodynamic disorders in preterm infants. 45 preterm infants undergoing treatment in the intensive care unit were examined. 30 children had hemodynamic disorders. A comparison of the 5

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References

Amiri AM, Abtahi M, Constant N, Mankodiya K. Mobile Phonocardiogram Diagnosis in Newborns Using Support Vector Machine. Healthcare (Basel). 2016; 5(1): 16. https://doi.org/10.3390/healthcare5010016.

Aziz S, Khan MU, Alhaisoni M, Akram T, Altaf M. Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features. Sensors (Basel). 2020;20(13):3790. doi:10.3390/s20133790.

Chowdhury MEH, Khandakar A, Alzoubi K, et al. Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring. Sensors (Basel). 2019;19(12):2781. doi:10.3390/s19122781.

Elgendi M, Bobhate P, Jain S, Guo L, Rutledge J, Coe Y, Zemp R, Schuurmans D, Adatia I. Spectral analysis of the heart sounds in children with and without pulmonary artery hypertension. Int J Cardiol. 2014;173(1):92-9. doi: 10.1016/j.

Grgic-Mustafic R, Baik-Schneditz N, Schwaberger B, Mileder L, et al. Novel algorithm to screen for heart murmurs using computer-aided auscultation in neonates: a prospective single center pilot observational study. Minerva Pediatr. 2019; 71(3):221-228. doi: 10.23736/S0026-4946.18.04974-5.

Lai LS, Redington AN, Reinisch AJ, Unterberger MJ, Schriefl AJ.. Computerized Automatic Diagnosis of Innocent and Pathologic Murmurs in Pediatrics: A Pilot Study. Congenital Heart Disease. 2016; 11 (5): 386–395. doi:10.1111/chd.12328.

Montinari MR, Minelli S. The first 200 years of cardiac auscultation and future perspectives. J Multidiscip Healthc. 2019; 12:183–189. doi:10.2147/JMDH.S193904.

Shelevytsky I, Shelevytska V, Golovko V, Semenov B. Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns. In: IEEE Second International Conference on Data Stream Mining and Processing. 2018 Aug 21-25; Lviv. Lviv; p. 430-3. doi: 10.1109/DSMP.2018.8478495.

Urquhart DS, Nicholl RM. How good is clinical examination at detecting a significant patent ductus arteriosus in the preterm neonate? 2003; Arch. Dis. Child.88:85–86. doi: 10.1136/adc.88.1.85.

Van Laere D, Van Overmeire B, Gupta S, El-Khuffash A, Savoia M et al. Application of Neonatologist Performed Echocardiography in the assessment of a patent ductus arteriosus. Pediatric research. 2018; 84(1): 46-56.

Wu WZ, Guo XM, Xie ML, Xiao ZF, Yang Y, Xiao SZ. Research on First heart sound and second heart sound amplitude variability and reversal phenomenon-a new finding in athletic heart study. J Medical and Biological Engineering. 2009;29(4): 202-5.

Xiao S, Guo X, Sun X, Xiao Z. A relative value method for measuring and evaluating cardiac reserve. Biomed Eng Online [Internet]. 2002[cited 2019 Mar 23];1:6. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC149375/.

Yamashita K. New non-invasive approach to detect cardiac contractility using the first sound of phonocardiogram. Acute Med Surg. 2020;7(1):e483. Published 2020 Jan 22. doi:10.1002/ams2.483.

Yang X, Zeng W. A relative value method for measuring and evaluating neonatal cardiac reserve. Indian J Pediatr. 2010;77(6):661-4. doi: 10.1007/s12098-010-0058-5.

Yang X, Zeng W. Determination of cardiac reserve in preterm infants. Turk J Pediatr. 2011 May-Jun;53(3):308-13. PMID: 21980813.