bsuirДоклады БГУИРDoklady BGUIR1729-76482708-0382БГУИР10.35596/1729-7648-2023-21-1-5-11bsuir-3558Research ArticleЭЛЕКТРОНИКА, РАДИОФИЗИКА, РАДИОТЕХНИКА, ИНФОРМАТИКАELECTRONICS, RADIOPHYSICS, RADIOENGINEERING, INFORMATICSАлгоритм анализа биомедицинских сигналов в системах дистанционного мониторинга состояния здоровья человекаAnalysis Algorithm of Biomedical Signals in Remote Monitoring Systems of Human HealthОсиповА. Н.OsipovA. N.

Осипов Анатолий Николаевич, к. т. н., доцент, начальник Центра междисциплинарных исследований «Центр плазменного и биомедицинского инжиниринга» 

220013, г. Минск, ул. П. Бровки, 6

+375 17 293-86-41

Osipov Anatoly Nikolaevich, Cand. of Sci., Associate Professor, Head of the Center for Interdisciplinary Researches “Center for Plasma and Biomedical Engineering” 

220013, Minsk, P. Brovka St., 6

+375 17 293-86-41

osipov@bsuir.byПацеевА. В.PatseevA. V.

главный врач 

г. Минск

Chief Physician 

Minsk

ПацеевС. В.PatseevS. V.

врач

г. Минск

Doctor

Minsk

Белорусский государственный университет информатики и радиоэлектроникиBelarusian State University of Informatics and RadioelectronicsРеспубликанский центр медицинской реабилитации и бальнеолечения; 1-я городская клиническая больницаRepublican Center for Medical Rehabilitation and Balne Treatment; 1st City Clinical Hospital1-я городская клиническая больница1st City Clinical Hospital202301032023211511Copyright © Осипов А.Н., Пацеев А.В., Пацеев С.В., 20232023Осипов А.Н., Пацеев А.В., Пацеев С.В.Osipov A.N., Patseev A.V., Patseev S.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://doklady.bsuir.by/jour/article/view/3558

Рассмотрены задачи адаптации существующих и разработки новых диагностических алгоритмов и методик дистанционного мониторинга физиологического состояния человека применительно к технологии интернета вещей. Для снижения энергопотребления носимого блока и датчиков биомедицинских сигналов, сокращения избыточности регистрируемой и передаваемой диагностической информации процесс распознавания критической ситуации разделен на два этапа. На первом контролируются основные показатели (частота сердечных сокращений и сигнал, информирующий о падении человека). В случае их несоответствия норме выполняется анализ дополнительных сигналов (второй этап) для подтверждения критической ситуации и определения степени тревоги.

The article considers the problems of adaptation of existing and development of new diagnostic algorithms and methods of remote monitoring of the physiological state of a person in relation to the Internet of Things technology. In order to reduce the energy consumption of the wearable unit and biomedical signal sensors, reduce the redundancy of the recorded and transmitted diagnostic information, the critical situation recognition process is divided into two stages. At the first stage, the main indicators (heart rate and human fall signal) are monitored. If they do not comply with the norm, additional signals are analyzed (the second stage) to confirm the critical situa tion and determine the degree of alarm.

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