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Found 2 from your keywords: subject="Electrocardiogram"
cover
DELINEASI 12 - LEAD SINYAL ELECTROCARDIOGRAM BERBASIS DEEP LEARNING UNTUK PEN…
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Wandya, Ramadhana Noor Salassa

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 Universi…

Edition
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ISBN/ISSN
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Collation
xviii, 151 hlm.; ilus.; 29 cm
Series Title
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Call Number
T1586892024
cover
DEEP FILTER DAN BI-LSTM UNTUK PENINGKATAN KINERJA DELINEASI SINYAL ELECTROCAR…
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Perwira, Muhammad Ikhwan

The delineation of ECG signals is often hindered by noise, such as baseline wandering and electrode motion. This study presents a robust model for ECG signal denoising and delineation into four classes: baseline, P wave, QRS complex, and T wave, using data from multiple sources. The denoising model, based on a Multibranch LANLD architecture, was trained with noisy signals from NSTDB and clean l…

Edition
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ISBN/ISSN
-
Collation
xiv, 165 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T1598892024