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DELINEASI 12 - LEAD SINYAL ELECTROCARDIOGRAM BERBASIS DEEP LEARNING UNTUK PENDETEKSIAN ST ELEVASI

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Interpretation of electrocardiogram signal waves is one of the crucial steps to diagnose heart disease. The use of deep learning that has been proven to be able to run feature extraction will be used in this study which aims to facilitate the delineation process of electrocardiogram signal waves. The use of CNN-BiGRU and CNN-BiLSTM architecture to perform delineation on the Lobachevsky University Database (LUDB) datasets shows quite accuracy with F1-score values 94.87% and 94.88%. Delination performed using deep learning model is sufficient to be a reference for ST elevation detection with rule-based method.

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Detail Information

Series Title

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Call Number

T1586892024

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xviii, 151 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

616.120 707

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Komputer
Electrocardiogram

Specific Detail Info

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Statement of Responsibility

TUTI

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