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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| Veröffentlicht in: | Штучний інтелект |
|---|---|
| Datum: | 2016 |
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Englisch |
| Veröffentlicht: |
Інститут проблем штучного інтелекту МОН України та НАН України
2016
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| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/132094 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | 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| _version_ | 1862593086792663040 |
|---|---|
| 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.
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| first_indexed | 2025-11-27T10:28:35Z |
| format | Article |
| fulltext | |
| 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 |