Výsledky vyhledávání - "Arash Gharehbaghi"

Akademický článek

A review on deep learning methods for heart sound signal analysis

Autor: Elaheh Partovi, Ankica Babic, Arash Gharehbaghi

Publikováno v: Frontiers in Artificial Intelligence, Vol 7 (2024)

IntroductionApplication of Deep Learning (DL) methods is being increasingly appreciated by researchers from the biomedical engineering domain in which heart sound analysis is an important topic of study. Diversity in methodology, results, and complex

Externí odkaz: https://doaj.org/article/4cacabae5ebe4a519b7d87783cb5b687

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Akademický článek

Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture search

Autor: Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin, Arash Gharehbaghi

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)

Abstract This paper presents a novel machine learning framework for detecting PxAF, a pathological characteristic of electrocardiogram (ECG) that can lead to fatal conditions such as heart attack. To enhance the learning process, the framework involv

Externí odkaz: https://doaj.org/article/3b05984cff9840a4b27d9c39663f831e

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Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification

Autor: Arash Gharehbaghi, Elaheh Partovi, Ankica Babic

Publikováno v: Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881

This paper presents the results of a study performed on Parallel Convolutional Neural Network (PCNN) toward detecting heart abnormalities from the heart sound signals. The PCNN preserves dynamic contents of the signal in a parallel combination of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::15ec8bcf2f25d4326383ba0daabe3c02
https://doi.org/10.3233/shti230198

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