[HTML][HTML] Healthcare Big Data Analysis with Artificial Neural Network for Cardiac Disease Prediction
S Mohapatra, PK Sahoo, SK Mohapatra - Electronics, 2023 - mdpi.com
The generation of a huge volume of structured, semi-structured and unstructured real-time
health monitoring data and its storage in the form of electronic health records (EHRs) need …
health monitoring data and its storage in the form of electronic health records (EHRs) need …
AD8232 to biopotentials sensors: Open source project and benchmark
JJA Mendes Junior, DP Campos, LCAVD Biassio… - Electronics, 2023 - mdpi.com
Acquiring biopotentials with fidelity using low-cost circuits is a significant challenge in
biomedical instrumentation. In this perspective, our goal is to investigate the characteristics …
biomedical instrumentation. In this perspective, our goal is to investigate the characteristics …
A Novel R-Peak Detection Model and SE-ResNet-Based PVC Recognition for 12-Lead ECGs
D Li, T Sun, J Nan, Y Meng, Y Xia, P Liu… - Circuits, Systems, and …, 2024 - Springer
The real-time and accurate recognition of premature ventricular contractions (PVC) in
dynamic 12-lead ECGs poses a clinical challenge due to noise and variability. The accurate …
dynamic 12-lead ECGs poses a clinical challenge due to noise and variability. The accurate …
Detection of QRS Complexes in ECG Signal
N Revanth, MA Bennet - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
In recent years, Cardiac disorders have become a major cause of death around the world.
As a result, an automated categorization of heart rhythms utilizing Heart Rate Variability …
As a result, an automated categorization of heart rhythms utilizing Heart Rate Variability …
Artificial Intelligence Assisted Cardiac Signal Analysis for Heart Disease Prediction
PK Sahoo, S Mohapatra, HK Thakkar - Biomedical Signal and Image …, 2022 - Springer
Cardiovascular Disease (CVD) is the group of disorders of the heart and blood vessels and
is a major health problem worldwide. It is highly essential to design the reliable and robust …
is a major health problem worldwide. It is highly essential to design the reliable and robust …
Robust Identification of the QRS-Complexes in Electrocardiogram Signals Using Ramanujan Filter Bank-Based Periodicity Estimation Technique
SK Mukhopadhyay, S Krishnan - Frontiers in Signal Processing, 2022 - frontiersin.org
Plausibly, the first computerized and automated electrocardiogram (ECG) signal processing
algorithm was published in the literature in 1961, and since then, the number of algorithms …
algorithm was published in the literature in 1961, and since then, the number of algorithms …
PREDICTIVE ANALYTICS FOR PATIENT MANAGEMENT SYSTEM USING IOT
R SHIJITHA - Journal of Engineering & Technological Advances, 2024 - jeta.segi.edu.my
Lack of health care or inaccessibility of doctors and caregivers is a major concern. Patient
health care puts tremendous pressure on hospital management in urban areas. Therefore …
health care puts tremendous pressure on hospital management in urban areas. Therefore …
Adaptive Analysis of Electrocardiogram Prediction Using a Dynamic Cubic Neural Unit
R Rodríguez-Jorge, P Huerta-Solis, J Bíla… - … Conference on Advanced …, 2022 - Springer
In this work, the implementation of a dynamic cubic neural unit for the prediction of
heartbeats using a wireless method is presented. The data were recorded with the BITalino …
heartbeats using a wireless method is presented. The data were recorded with the BITalino …
Neural Network with LM Algorithm for Arrhythmia Disease Classification
R Rodríguez-Jorge, J Bíla, J Škvor - … on P2P, Parallel, Grid, Cloud and …, 2022 - Springer
This paper presents a feedforward multilayer perceptron neural network with a Levenberg-
Marquardt learning algorithm for recognizing arrhythmia disease from normal …
Marquardt learning algorithm for recognizing arrhythmia disease from normal …
Neural Network with LM Algorithm for Arrhythmia Disease Classification
R Rodriguez - Advances on P2P, Parallel, Grid, Cloud and …, 2021 - books.google.com
This paper presents a feedforward multilayer perceptron neural network with a Levenberg-
Marquardt learning algorithm for recognizing arrhythmia disease from normal …
Marquardt learning algorithm for recognizing arrhythmia disease from normal …