Real-time health monitoring via ECG analysis

In this paper we describe the range of use cases of medical wearable IoT devices for monitoring health state in real-time. We propose approaches for analysis the dynamic analogous but digitized electrocardiogram in combination with other personal data like age, gender, medical card and some sensors...

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Published in:Штучний інтелект
Date:2016
Main Authors: Budichenko, V.O., Panchenko, T.V.
Format: Article
Language:English
Published: Інститут проблем штучного інтелекту МОН України та НАН України 2016
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Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/132094
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Real-time health monitoring via ECG analysis / V.O. Budichenko, T.V. Panchenko // Штучний інтелект. — 2016. — № 4. — С. 98-100. — Бібліогр.: 7 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Budichenko, V.O.
Panchenko, T.V.
author_facet Budichenko, V.O.
Panchenko, T.V.
citation_txt Real-time health monitoring via ECG analysis / V.O. Budichenko, T.V. Panchenko // Штучний інтелект. — 2016. — № 4. — С. 98-100. — Бібліогр.: 7 назв. — англ.
collection DSpace DC
container_title Штучний інтелект
description In this paper we describe the range of use cases of medical wearable IoT devices for monitoring health state in real-time. We propose approaches for analysis the dynamic analogous but digitized electrocardiogram in combination with other personal data like age, gender, medical card and some sensors like GPS and accelerometer by neural network or some other machine learning method. It should be trained on classified dataset and then be adjusted for specific person to monitor and classify in real-time his or her health state whether he or she is healthy or if some abnormality detected. This paper is the declaration of our research and its development which is at the data gathering and preparation stage.
first_indexed 2025-11-27T10:28:35Z
format Article
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id nasplib_isofts_kiev_ua-123456789-132094
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
issn 1561-5359
language English
last_indexed 2025-11-27T10:28:35Z
publishDate 2016
publisher Інститут проблем штучного інтелекту МОН України та НАН України
record_format dspace
spelling Budichenko, V.O.
Panchenko, T.V.
2018-04-10T18:28:36Z
2018-04-10T18:28:36Z
2016
Real-time health monitoring via ECG analysis / V.O. Budichenko, T.V. Panchenko // Штучний інтелект. — 2016. — № 4. — С. 98-100. — Бібліогр.: 7 назв. — англ.
1561-5359
https://nasplib.isofts.kiev.ua/handle/123456789/132094
004.8
In this paper we describe the range of use cases of medical wearable IoT devices for monitoring health state in real-time. We propose approaches for analysis the dynamic analogous but digitized electrocardiogram in combination with other personal data like age, gender, medical card and some sensors like GPS and accelerometer by neural network or some other machine learning method. It should be trained on classified dataset and then be adjusted for specific person to monitor and classify in real-time his or her health state whether he or she is healthy or if some abnormality detected. This paper is the declaration of our research and its development which is at the data gathering and preparation stage.
en
Інститут проблем штучного інтелекту МОН України та НАН України
Штучний інтелект
Повідомлення, дискусії, листи до редакції
Real-time health monitoring via ECG analysis
Article
published earlier
spellingShingle Real-time health monitoring via ECG analysis
Budichenko, V.O.
Panchenko, T.V.
Повідомлення, дискусії, листи до редакції
title Real-time health monitoring via ECG analysis
title_full Real-time health monitoring via ECG analysis
title_fullStr Real-time health monitoring via ECG analysis
title_full_unstemmed Real-time health monitoring via ECG analysis
title_short Real-time health monitoring via ECG analysis
title_sort real-time health monitoring via ecg analysis
topic Повідомлення, дискусії, листи до редакції
topic_facet Повідомлення, дискусії, листи до редакції
url https://nasplib.isofts.kiev.ua/handle/123456789/132094
work_keys_str_mv AT budichenkovo realtimehealthmonitoringviaecganalysis
AT panchenkotv realtimehealthmonitoringviaecganalysis