Javascript must be enabled to continue!
ECG Recognition by Boolean Decision Rules
View through CrossRef
The classical pattern recognition problem is considered. A model of construction of Boolean decision rules is implemented. Computational procedures for construction of non-reducible descriptors is briefly discussed. Applications of Boolean decision rules to ECG analysis and ECG recognition are suggested
Title: ECG Recognition by Boolean Decision Rules
Description:
The classical pattern recognition problem is considered.
A model of construction of Boolean decision rules is implemented.
Computational procedures for construction of non-reducible descriptors is briefly discussed.
Applications of Boolean decision rules to ECG analysis and ECG recognition are suggested.
Related Results
Some Contributions to Boolean like near Rings
Some Contributions to Boolean like near Rings
In this paper we extend Foster’s Boolean-like ring to Near-rings. We introduce the concept of a Boolean like near-ring. A near-ring N is said to be a Boolean-like near-ring if ...
Autonomy on Trial
Autonomy on Trial
Photo by CHUTTERSNAP on Unsplash
Abstract
This paper critically examines how US bioethics and health law conceptualize patient autonomy, contrasting the rights-based, individualist...
Complex Deep Learning Models for Denoising of Human Heart ECG signals
Complex Deep Learning Models for Denoising of Human Heart ECG signals
Effective and powerful methods for denoising real electrocardiogram (ECG) signals are important for wearable sensors and devices. Deep Learning (DL) models have been used extensive...
Development of AI-based method to detect the subtle ECG deviations from the population ECG norm
Development of AI-based method to detect the subtle ECG deviations from the population ECG norm
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Natio...
A novel fetal ecg signal extraction from maternal ecg signal using conditional generative adversarial networks (CGAN)
A novel fetal ecg signal extraction from maternal ecg signal using conditional generative adversarial networks (CGAN)
Fetal Electrocardiogram (ECG) signal extraction from non-invasive abdominal ECG signal is one of the important clinical practices followed to observe the fetal health state. Inform...
A Note on Boolean Like Algebras
A Note on Boolean Like Algebras
In this paper we develop on abstract system: viz Boolean-like algebra and prove that every Boolean algebra is a Boolean-like algebra. A necessary and sufficient condition for a B...
Asymptotic Behavior of Linear Approximations of Pseudo-Boolean Functions
Asymptotic Behavior of Linear Approximations of Pseudo-Boolean Functions
We study the problem of approximating pseudo-Boolean functions by linear pseudo-Boolean functions. Pseudo-Boolean functions generalize ordinary Boolean functions by allowing the fu...
DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution
DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution
AbstractElectrocardiogram (ECG) signals play a pivotal role in cardiovascular diagnostics, providing essential information on the electrical activity of the heart. However, the inh...

