A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model

S Tiwari, A Jain, V Sapra, D Koundal, F Alenezi… - Expert Systems with …, 2023 - Elsevier
Automatic screening approaches can help diagnose Cardiovascular Disease (CVD) early,
which is the leading source of mortality worldwide. Electrocardiogram (ECG/EKG)-based …

A survey of controller placement problem in SDN-IoT network

A Abderrahmane, H Drid, A Behaz - International Journal of Networked …, 2024 - Springer
Abstract The Internet of Things (IoT) refers to the billions of intelligent physical devices
connected to the Internet for collecting and sharing data. However, implementing IoT in large …

Software defined networking for internet of things: review, techniques, challenges, and future directions

MA Al-Shareeda, AA Alsadhan, HH Qasim… - Bulletin of Electrical …, 2024 - beei.org
Security networks as one of the biggest issue for network managers with the exponential
growth of devices connected to the internet. Keeping a big and diverse network running …

An IoT and fog computing-based monitoring system for cardiovascular patients with automatic ECG classification using deep neural networks

JA Rincon, S Guerra-Ojeda, C Carrascosa, V Julian - Sensors, 2020 - mdpi.com
Telemedicine and all types of monitoring systems have proven to be a useful and low-cost
tool with a high level of applicability in cardiology. The objective of this work is to present an …

SDN-based solutions to improve IoT: survey

H Zemrane, Y Baddi, A Hasbi - 2018 IEEE 5th international …, 2018 - ieeexplore.ieee.org
The vertical integration of equipment in the current networks doesn't automatically adapt to
different high-level policies, the network operator is forced to configure manually all …

Rancang Bangun Pemantau Detak Jantung dan Suhu Tubuh Portabel Dengan Sistem IoT

I Agustian - Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro …, 2019 - ejournal.unib.ac.id
Pemeriksaaan detak jantung dan suhu tubuh dapat sangat membantu tenaga kesehatan
untuk mendiagnosis kondisi kesehatan pasien. Untuk memudahkan tenaga kesehatan …

Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification

T Subba, T Chingtham - IEEE Access, 2024 - ieeexplore.ieee.org
Electrocardiogram is a heartbeat signal that can be used for the application of Human-
computer interaction. Electrocardiography (ECG) is a prominent way to analyze heart rate …

웨어러블센서를사용한심전도모니터링애플리케이션디자인

강신실, 송영수, 호혜민, 정형구 - 한국HCI 학회학술대회, 2021 - dbpia.co.kr
최근 심장질환 환자 수가 지속적으로 증가하는 추세를 보이고, 세계 보건기구 (WHO) 에 따르면
심장질환은 세계적으로 사망률이 가장 높은 질환이다. 더불어 모바일 애플리케이션의 성공적인 …

Essential R Peak Detector Based on the Polynomial Fitting

O Velychko, O Datsok, I Perova - … of Decision Making and Problem of …, 2021 - Springer
R peaks detection is one of the uncomplicated tasks, successfully solved for the stationary
ECG systems. The finite computational capacities of the recent mobile devices circumscribe …

Diseño y Construcción de un Electrocardiógrafo Portátil iot Para el Monitoreo y Detección de Anomalías Cardiacas en Tiempo Real

A Acuña, MÁ Burgos Martínez - 2022 - repository.upb.edu.co
En este trabajo de grado, se emplearon diferentes conceptos biomédicos y electrónicos,
como fundamento para el desarrollo de un electrocardiógrafo portátil de bajo costo, cuyo …