Adaptive Methodology for Designing a Predictive Model of Cardiac Arrhythmia Symptoms Based on Cubic Neural Unit

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F17%3A00312426" target="_blank" >RIV/68407700:21220/17:00312426 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3233/978-1-61499-773-3-232" target="_blank" >http://dx.doi.org/10.3233/978-1-61499-773-3-232</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/978-1-61499-773-3-232" target="_blank" >10.3233/978-1-61499-773-3-232</a>

Result language

angličtina

Original language name

Adaptive Methodology for Designing a Predictive Model of Cardiac Arrhythmia Symptoms Based on Cubic Neural Unit

Original language description

A cubic neural unit is a kind of a higher-order neural unit which can be used for prediction tasks among others, in the medical field. The example of the tasks includes monitoring cardiac behavior in real-time either for preemptive treatment, or for supporting a doctor to reach a more accurate diagnosis. We propose a predictive model which has been developed as an application in open source code with the aim to make it publicly accessible for research community and medical professionals and also to decrease the implementation cost. The proposed model uses sample-by-sample adaptation of the gradient descent method with error backpropagation. This paper presents an application of a cubic neural unit as a prediction mechanism for abnormal cardiac behavior, and it describes a new adaptive methodology based on application of a dynamic cubic neural unit for cardiac arrhythmia prediction. To validate the model, it has been tested on the data from the Massachusetts Institute of Technology-Beth Israel Hospital Cardiac Record Database. This paper is focused on premature ventricular contraction, atrial premature contraction and normal heartbeat records

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 8th International Conference on Applications of Digital Information and Web Technologies

ISBN

978-1-61499-772-6

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

232-239

Publisher name

IOS Press BV

Place of publication

Amsterdam

Event location

Juarez City

Event date

Mar 29, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000440621900021