vitjВрач и информационные технологииMedical Doctor and Information Technologies1811-01932413-5208Pirogov National Medical and Surgical Center10.25881/18110193_2022_2_12vitj-124Research ArticleОБЗОРЫREVIEWSПрименение компьютерных технологий для диагностики заболеваний сердца и лёгких по данным аускультацииApplication of computer technologies using auscultation data for heart and lung diseases diagnosisТуценкоК. О.TutsenkoK. O.

г. Красноярск

Krasnoyarsk

kseniamkib@gmail.comНаркевичА. Н.NarkevichA. N.

д.м.н.

г. Красноярск

Dr. Sci. (Medicine)

Krasnoyarsk 

narkevichart@gmail.comРоссиевД. А.RossievD. A.

д.м.н., профессор

г. Красноярск

Dr. Sci. (Medicine), Professor

Krasnoyarsk

rossiev@mail.ruИпатюкО. В.IpatyukO. V.

г. Красноярск

Krasnoyars

s.v.b.07@mail.ruАвдеевС. М.AvdeevS. M.

г. Красноярск

Krasnoyarsk 

avdeev63@mail.ruФГБОУ ВО «Красноярский государственный медицинский университет им. проф. В.Ф. Войно-Ясенецкого»РоссияKrasnoyarsk State Medical University named after prof. V.F. Voino-Yasenetsky»Russian FederationУН «Пальмира»РоссияUN «Palmira»Russian FederationИП Авдеев Сергей МаксимовичРоссияIndividual entrepreneur Avdeev Sergey MaksimovichRussian Federation202230032025021221Copyright © Туценко К.О., Наркевич А.Н., Россиев Д.А., Ипатюк О.В., Авдеев С.М., 20252025Туценко К.О., Наркевич А.Н., Россиев Д.А., Ипатюк О.В., Авдеев С.М.Tutsenko K.O., Narkevich A.N., Rossiev D.A., Ipatyuk O.V., Avdeev S.M.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vit-j.ru/jour/article/view/124

Аускультация является типовым методом обследования пациентов с патологиями органов дыхания и сердечно-сосудистой системы. Это дешевый и доступный, но субъективный метод, диагностическая ценность которого сильно зависит от опыта врача. Электронные стетоскопы способны увеличивать громкость аудиозаписи, устранять шумы, а также хранить и передавать звук на компьютер или смартфон. Для фильтрации полученных аудиозаписей используется вейвлет-преобразование, фильтр Баттерворта, фильтры нижних и верхних частот и другие. Для идентификации звуков используются методы машинного обучения, которые зачастую превосходят в точности опытных врачей. Методы математического анализа позволяют диагностировать патологические и невинные сердечные шумы, хрипы в лёгких, астматическое дыхание и другие патологии. В данном обзоре описываются различные исследования, посвященные диагностике патологий органов дыхания и сердечно-сосудистой системы по данным аускультации.

Auscultation is a classic method of examining patients with respiratory and cardiovascular pathologies. Auscultation is a subjective method, its diagnostic accuracy is highly dependent on the doctor’s experience. Electronic stethoscopes can increase the volume of audio recordings, eliminate noise, and store and transmit sound to a computer or smartphone. Wavelet transform, Butterworth filter, low and high pass filters are used to filter the resulting audio recordings. Machine learning methods, which often surpass to experienced doctors in accuracy, are used to identify various sounds. Methods of mathematical analysis make it possible to differentiate pathological sounds from and innocent heart murmurs, wheezing in the lungs, asthmatic breathing and other pathologies. This review describes various studies on the diagnosis of respiratory and cardiovascular pathologies based on auscultation data.

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The authors declare that there are no conflicts of interest present.