Improving intrusion detection in cloud-based healthcare using neural network

SK Patel - Biomedical Signal Processing and Control, 2023 - Elsevier
This research introduces an efficient smart security solution with the effective healthcare
technique for Arrhythmia classification using the cloud computing scenario. Initially, the ECG …

Accelerating deep convolutional neural network on FPGA for ECG signal classification

V Aruna, E Chitra, M Padmaja - Microprocessors and Microsystems, 2023 - Elsevier
Abnormal activity of the heart is known as cardiac arrhythmia which must be recognized in
earlier stage to prevent sudden death and premature death. The occurrence of arrhythmia …

Exploration of ECG-based real-time arrhythmia detection: A systematic literature review

MI Rizqyawan, ET Nuryatno… - … in Data Science, E …, 2022 - ieeexplore.ieee.org
Cardiac arrhythmia is a medical term to describe an irregular heartbeat, which occurs when
electrical properties in the heart incapacitated. Although most of arrhythmias are harmless …

FPGA-based decision support system for ECG analysis

A Giorgio, C Guaragnella, M Rizzi - Journal of Low Power Electronics and …, 2023 - mdpi.com
The high mortality rate associated with cardiac abnormalities highlights the need of
accurately detecting heart disorders in the early stage so to avoid severe health …

A fully-mapped and energy-efficient FPGA accelerator for dual-function AI-based analysis of ECG

W Liu, Q Guo, S Chen, S Chang, H Wang, J He… - Frontiers in …, 2023 - frontiersin.org
In this paper, a fully-mapped field programmable gate array (FPGA) accelerator is proposed
for artificial intelligence (AI)-based analysis of electrocardiogram (ECG). It consists of a fully …

An ensemble approach for cardiac arrhythmia detection using multimodal deep learning

MR Thanka, SP Gandu, B Manaswini… - 2023 International …, 2023 - ieeexplore.ieee.org
Arrhythmias are irregular and possibly deadly heartbeats. To reduce mortality and morbidity,
the patient must receive the proper treatment. Recent techniques in the field of machine …

Cardiacnet: Cardiac Arrhythmia Detection and Classification Using Unsupervised Learning Based Optimal Feature Selection with Custom CNN Model

K Srinivas, V Ch, SR Borra, KS Raju, GRK Rao… - Informatica, 2024 - informatica.si
The irregularity in the heartbeats caused cardiac arrhythmia, which resulted in serious
health problems. This cardiac arrhythmia is monitored by electrocardiogram (ECG) signals …

Real-time Multiplatform Emotion Classification using CNN in a Fog Computing Environment

LE Arenas-Deseano, JM Ramirez-Cortes… - IEEE …, 2024 - ieeexplore.ieee.org
This paper introduces a robust multiplatform artificial intelligence (AI) system designed for
real-time emotion classification in service robotics. The primary focus of this study is the …

FPGA‐Based Implementation of Real‐Time Cardiologist‐Level Arrhythmia Detection and Classification in Electrocardiograms Using Novel Deep Learning

S Chandrasekaran, S Chandran… - International Journal of …, 2024 - Wiley Online Library
Cardiac arrhythmia refers to irregular heartbeats caused by anomalies in electrical
transmission in the heart muscle, and it is an important threat to cardiovascular health …

Fixed-point FPGA Implementation of ECG Classification using Artificial Neural Network

B Dal, M Aşkar - 2022 Medical Technologies Congress …, 2022 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) are one of the major causes of mortality around the world.
Hence, regular monitoring of electrocardiogram (ECG) signals is crucial for early diagnosis …