A Study on the Application of Expert Systems as a Support System for Business Decisions: A Literature Review

G Manoharan, S Durai, GA Rajesh… - Artificial Intelligence …, 2024 - taylorfrancis.com
Organizations have shown a strong interest in exploiting information technology to gain a
competitive advantage in recent years. Expert systems is one of the areas where …

A novel interpretable multilevel wavelet decomposition deep network for actual heartbeat classification

YR Jin, ZY Li, YY Tian, XY Wei, CL Liu - Science China Technological …, 2024 - Springer
Arrhythmias may lead to sudden cardiac death if not detected and treated in time. A
supraventricular premature beat (SPB) and premature ventricular contraction (PVC) are …

[HTML][HTML] Modified parametric-based AlexNet structure to classify ECG signals for cardiovascular diseases

ST Aarthy, JLM Iqbal - Measurement: Sensors, 2023 - Elsevier
Patients with cardiovascular disease typically need constant monitoring, and this is made
possible by analyzing their electrocardiogram (ECG) signals to determine the specific …

A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram

Z Wang, K Wang, X Chen, Y Zheng, X Wu - Biomedical Signal Processing …, 2024 - Elsevier
Premature ventricular contractions (PVCs) are a common type of arrhythmia and can be life-
threatening if deteriorated. There are several challenges remain to be resolved to the inter …

Efficient Premature Ventricular Contraction Detection based on Network Dynamics Features

Y Shen, Z Cai, L Zhang, BS Lin, J Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automatic detection of premature ventricular contractions (PVCs) is essential for early
identification of cardiovascular abnormalities and reduction of clinical workload. As the most …

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 …

Real-time PVC Recognition System Design based on Multi-Parameter SE-ResNet

D Li, P Liu, T Sun, L Li, Y Xue - IEEE Access, 2024 - ieeexplore.ieee.org
The real-time and accurate detection of premature ventricular contractions (PVC) in patients
is of great significance for preventing the occurrence of high-risk events such as sudden …

Amplitude and Frequency Based Evaluations for Algorithm Development of Premature Ventricular Contraction Detection System

J Sun, MD Bani, M Firmansyah… - … on Cybernetics and …, 2022 - ieeexplore.ieee.org
Heart related diseases are one of the most frequent causes for global death. This reason
makes the mitigation and prevention crucial. The system for making the early warning …

24 A Study on the Application

B Decisions, G Manoharan, S Durai… - Artificial Intelligence …, 2023 - books.google.com
Gabriel Lanzaro and Michelle Andrade (2022) said speed limits balance safety and traffic
flow. Establishing a speed limit typically entails choosing a base speed (such as operational …