[PDF][PDF] ECG-Based Heartbeat Classification Using Convolutional Neural Networks

JRT Alipo-on, FIF Escobar, MJT Tan… - … Journal of Biomedical …, 2023 - researchgate.net
Electrocardiogram (ECG) signal analysis and processing are crucial in the diagnosis of
cardiovascular diseases which are considered as one of the leading causes of mortality …

[PDF][PDF] The Use of a Modelling & Simulation Tier by the EMULSION IoT Platform

I Ganchev, Z Ji - WSEAS Transactions on Systems and Control, 2022 - wseas.com
This paper presents some design aspects of the EMULSION IoT platform, developed as a
typical example of the horizontal IoT platforms. The architectural overview and multi-tiered …

A Client Tier Design for the EMULSION IoT Platform

I Ganchev, Z Ji, M O'Droma - 2021 International Conference …, 2021 - ieeexplore.ieee.org
This paper♠ presents an IoT client tier design and its setting within the multi-tiered
architectural structure of EMULSION, the newly proposed horizontal-type IoT platform …

Check for updates Deep Learning for ECG Signal Classification in Remote Healthcare Applications

SA Hashim¹, HH Balik - … ICAETA 2023, Istanbul, Turkey, March 10 …, 2023 - books.google.com
Due to several current medical applications, the significance of Electrocardiogram (ECG)
classification has increased significantly. To evaluate and classify ECG data, a variety of …

An IoT Based Heart Healthcare Platform for the Sultanate of Oman

VK Stephen, M Virutachalam… - 2022 Mohammad Ali …, 2022 - ieeexplore.ieee.org
The evolution of the Internet of Things (IoT) has been from the convergence of different forms
of digital technologies such as embedded systems, real-time analytics, wireless …

Reliable Multimodal Heartbeat Classification using Deep Neural Networks

I Cretu, A Tindale, M Abbod, A Khir, W Balachandran… - 2023 - bura.brunel.ac.uk
Arrhythmias are deviations from the normal heart rhythm with impact on the cardiovascular
health. Their prompt detection plays an important role in mitigating potential negative …

Explainable Rhythm-Based Heart Disease Detection from ECG Signals

DD Demissie, FA Andargie - Pan African Conference on Artificial …, 2023 - Springer
Healthcare decision support systems must operate with confidence and trust. Numerous
researchers have attempted to automate the identification and classification of …

Research on Arrhythmia of College Students Based on Convolutional Neural Network

L Qi, F Zhang, B Wang, M Li - Proceedings of the 2022 5th International …, 2022 - dl.acm.org
Arrhythmia is a group of common diseases related to irregular heart rate. Accurate
classification of electrocardiogram is very important for college students to detect heart …

Perbandingan Klasifikasi Jenis Sampah Menggunakan Convolutional Neural Network Dengan Arsitektur ResNet18 dan ResNet50

CE Nainggolan, M Nasir… - … Research and Its …, 2024 - csridjournal.potensi-utama.org
Complex problems occur in dealing with waste, both in developing and developed
countries, such as Indonesia. According to data from the Ministry of Environment and …

An ECG Classification Method Based on Feature Fusion Model

G Wencong, JM Assefa, FH Assefa… - 2022 19th International …, 2022 - ieeexplore.ieee.org
Electrocardiogram (ECG) is a significant ancillary tool for cardiovascular disease diagnosis.
Deep learning methods have been widely applied on diagnosis tasks using ECGs …