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 …
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 …
supraventricular premature beat (SPB) and premature ventricular contraction (PVC) are …
[HTML][HTML] Modified parametric-based AlexNet structure to classify ECG signals for cardiovascular diseases
Patients with cardiovascular disease typically need constant monitoring, and this is made
possible by analyzing their electrocardiogram (ECG) signals to determine the specific …
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
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 …
threatening if deteriorated. There are several challenges remain to be resolved to the inter …
Efficient Premature Ventricular Contraction Detection based on Network Dynamics Features
Automatic detection of premature ventricular contractions (PVCs) is essential for early
identification of cardiovascular abnormalities and reduction of clinical workload. As the most …
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 …
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 …
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 …
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 …
flow. Establishing a speed limit typically entails choosing a base speed (such as operational …