Výsledky vyhledávání - "orthogonal leads"

Akademický článek

Methods for derivation of orthogonal leads from 12-lead electrocardiogram: A review

Autor: Vozda, M., Cerny, M.

Publikováno v: In Biomedical Signal Processing and Control May 2015 19:23-34

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Arrhythmia Classification Using Alexnet Model Based on Orthogonal Leads and Different Time Segments

Autor: Abduljabbar S. Ba Mahel, Noriega Harold, Hanadi Solieman

Publikováno v: 2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5760f5ddd376050150dd31e6be5260ea
https://doi.org/10.1109/elconrus54750.2022.9755708

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Conference

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Convert Standard ECG Leads to Orthogonal Leads to Obtain the Heart Vector Magnitude

Autor: Darina S. Ripka, Hanadi Solieman

Publikováno v: 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).

There are many methods for obtaining orthogonal leads from standard leads. Moreover, not only linear transformation but also nonlinear regression using artificial neural networks are used now. Methods of converting 12 standard ECG leads into 3 orthog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8ca5710bc4ac1fb2279f3fc95b2d7cd
https://doi.org/10.1109/elconrus51938.2021.9396159

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Investigation of the Transformation Methods Accuracy of 12-Lead ECG to Orthogonal Leads Using Multiple Error Evaluation Metrics

Autor: Darina S. Ripka, Zafar M. Yuldashev, Hanadi Solieman

Publikováno v: 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT).

Late ventricular potentials are essential for the diagnosis of a variety of dangerous heart disorders. The heart vector magnitude is required to determine these potentials, and it is obtained using the orthogonal ECG leads. The orthogonal leads signa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b51f35e7991ebdac41bf40ef950124b0
https://doi.org/10.1109/usbereit51232.2021.9455108

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Akademický článek

Classification of Arrhythmias Using a Pre-trained Deep Learning Model with Binary Images of Segmented ECG

Autor: H. Solieman, S. Sali

Publikováno v: Известия высших учебных заведений России: Радиоэлектроника, Vol 26, Iss 2, Pp 120-127 (2023)

Introduction. Arrhythmia or irregular heartbeat occur when the heart’s electrical system is disorganized or out of sync, which may cause strokes, sudden cardiac death, and other complications. The introduction of an automated classification of arrh

Externí odkaz: https://doaj.org/article/d34d7e3599784f51a824c9f4762c0fb6

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