New diagnostic tool for patients suffering from noncommunicable diseases (NCDs)

Wojciech Oleksy; Zbigniew Budzianowski; Ewaryst Tkacz; Małgorzata Garbacik

doi:10.1007/978-3-319-73450-7_45

New diagnostic tool for patients suffering from noncommunicable diseases (NCDs)

Wojciech Oleksy
, Zbigniew Budzianowski
, Ewaryst Tkacz
, Małgorzata Garbacik

Katedra Informatyki Medycznej i Sztucznej Inteligencji (RIB/RIB1)

Silesian University of Technology

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

Abstrakt

Electrocardiography, technique, which is an essential tool in the diagnosis of heart disease, as well as other organs, is used by doctors for over 100 years. It is used to measure electrical activity of the heart as a function of time and present it in digital or analogue form. Whilst the standard 12 lead ECG is the basic clinical method of heart diagnosis it has its drawbacks. Measuring all 12 leads is often difficult and impractical, most of all it restricts patient movement. In 1988, Gordon Dower developed a system of quasi-orthogonal lead called EASI, which uses only 5 electrodes in order to register standard 12 lead ECG signals. The main goal of this work is to present a new tool using machine learning algorithms which transforms electrocardiographic signals (ECG) performed by EASI into a standard 12-channel ECG, which therefore could be an ideal tool for diagnose of NCDs.

Język oryginału	angielski
Tytuł publikacji goszczącej	Proceedings of the International Conference on Information Technology and Systems, ICITS 2018
Redaktorzy	Alvaro Rocha, Teresa Guarda
Wydawca	Springer Verlag
Strony	476-483
Liczba stron	8
ISBN (drukowany)	9783319734491
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-73450-7_45
Status publikacji	Opublikowano - 2018
Wydarzenie	International Conference on Information Technology and Systems, ICITS18 - Libertad city, Ekwador Czas trwania: 11 sty 2017 → 13 sty 2017

Seria publikacji

Nazwa	Advances in Intelligent Systems and Computing
Tom	721
ISSN (drukowany)	2194-5357

Konferencja

Konferencja	International Conference on Information Technology and Systems, ICITS18
Kraj/Terytorium	Ekwador
Miejscowość	Libertad city
Okres	11/01/17 → 13/01/17

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 3 Dobre zdrowie i dobre samopoczucie

Obszary tematyczne ASJC Scopus

Inżynieria sterowania i systemów
Informatyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-319-73450-7_45

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Oleksy, W., Budzianowski, Z., Tkacz, E., & Garbacik, M. (2018). New diagnostic tool for patients suffering from noncommunicable diseases (NCDs). W A. Rocha, & T. Guarda (Red.), Proceedings of the International Conference on Information Technology and Systems, ICITS 2018 (str. 476-483). (Advances in Intelligent Systems and Computing; Tom 721). Springer Verlag. https://doi.org/10.1007/978-3-319-73450-7_45

@inproceedings{7e9efff51aa54fd987c3402851634abe,

title = "New diagnostic tool for patients suffering from noncommunicable diseases (NCDs)",

abstract = "Electrocardiography, technique, which is an essential tool in the diagnosis of heart disease, as well as other organs, is used by doctors for over 100 years. It is used to measure electrical activity of the heart as a function of time and present it in digital or analogue form. Whilst the standard 12 lead ECG is the basic clinical method of heart diagnosis it has its drawbacks. Measuring all 12 leads is often difficult and impractical, most of all it restricts patient movement. In 1988, Gordon Dower developed a system of quasi-orthogonal lead called EASI, which uses only 5 electrodes in order to register standard 12 lead ECG signals. The main goal of this work is to present a new tool using machine learning algorithms which transforms electrocardiographic signals (ECG) performed by EASI into a standard 12-channel ECG, which therefore could be an ideal tool for diagnose of NCDs.",

keywords = "EASI, ECG, Machine learning, Regression",

author = "Wojciech Oleksy and Zbigniew Budzianowski and Ewaryst Tkacz and Ma{\l}gorzata Garbacik",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; International Conference on Information Technology and Systems, ICITS18 ; Conference date: 11-01-2017 Through 13-01-2017",

year = "2018",

doi = "10.1007/978-3-319-73450-7\_45",

language = "English",

isbn = "9783319734491",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "476--483",

editor = "Alvaro Rocha and Teresa Guarda",

booktitle = "Proceedings of the International Conference on Information Technology and Systems, ICITS 2018",

address = "Germany",

}

Oleksy, W, Budzianowski, Z, Tkacz, E & Garbacik, M 2018, New diagnostic tool for patients suffering from noncommunicable diseases (NCDs). w A Rocha & T Guarda (red), Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. Advances in Intelligent Systems and Computing, tom 721, Springer Verlag, str. 476-483, International Conference on Information Technology and Systems, ICITS18, Libertad city, Ekwador, 11/01/17. https://doi.org/10.1007/978-3-319-73450-7_45

New diagnostic tool for patients suffering from noncommunicable diseases (NCDs). / Oleksy, Wojciech; Budzianowski, Zbigniew; Tkacz, Ewaryst i in.
Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. red. / Alvaro Rocha; Teresa Guarda. Springer Verlag, 2018. str. 476-483 (Advances in Intelligent Systems and Computing; Tom 721).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - New diagnostic tool for patients suffering from noncommunicable diseases (NCDs)

AU - Oleksy, Wojciech

AU - Budzianowski, Zbigniew

AU - Tkacz, Ewaryst

AU - Garbacik, Małgorzata

N1 - Publisher Copyright: © Springer International Publishing AG 2018.

PY - 2018

Y1 - 2018

N2 - Electrocardiography, technique, which is an essential tool in the diagnosis of heart disease, as well as other organs, is used by doctors for over 100 years. It is used to measure electrical activity of the heart as a function of time and present it in digital or analogue form. Whilst the standard 12 lead ECG is the basic clinical method of heart diagnosis it has its drawbacks. Measuring all 12 leads is often difficult and impractical, most of all it restricts patient movement. In 1988, Gordon Dower developed a system of quasi-orthogonal lead called EASI, which uses only 5 electrodes in order to register standard 12 lead ECG signals. The main goal of this work is to present a new tool using machine learning algorithms which transforms electrocardiographic signals (ECG) performed by EASI into a standard 12-channel ECG, which therefore could be an ideal tool for diagnose of NCDs.

AB - Electrocardiography, technique, which is an essential tool in the diagnosis of heart disease, as well as other organs, is used by doctors for over 100 years. It is used to measure electrical activity of the heart as a function of time and present it in digital or analogue form. Whilst the standard 12 lead ECG is the basic clinical method of heart diagnosis it has its drawbacks. Measuring all 12 leads is often difficult and impractical, most of all it restricts patient movement. In 1988, Gordon Dower developed a system of quasi-orthogonal lead called EASI, which uses only 5 electrodes in order to register standard 12 lead ECG signals. The main goal of this work is to present a new tool using machine learning algorithms which transforms electrocardiographic signals (ECG) performed by EASI into a standard 12-channel ECG, which therefore could be an ideal tool for diagnose of NCDs.

KW - EASI

KW - ECG

KW - Machine learning

KW - Regression

UR - https://www.scopus.com/pages/publications/85041023429

U2 - 10.1007/978-3-319-73450-7_45

DO - 10.1007/978-3-319-73450-7_45

M3 - Conference contribution

AN - SCOPUS:85041023429

SN - 9783319734491

T3 - Advances in Intelligent Systems and Computing

SP - 476

EP - 483

BT - Proceedings of the International Conference on Information Technology and Systems, ICITS 2018

A2 - Rocha, Alvaro

A2 - Guarda, Teresa

PB - Springer Verlag

T2 - International Conference on Information Technology and Systems, ICITS18

Y2 - 11 January 2017 through 13 January 2017

ER -

Oleksy W, Budzianowski Z, Tkacz E, Garbacik M. New diagnostic tool for patients suffering from noncommunicable diseases (NCDs). W Rocha A, Guarda T, redaktorzy, Proceedings of the International Conference on Information Technology and Systems, ICITS 2018. Springer Verlag. 2018. str. 476-483. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-73450-7_45

New diagnostic tool for patients suffering from noncommunicable diseases (NCDs)

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie