Data preprocessing for heart disease classification: A systematic literature review
Context Early detection of heart disease is an important challenge since 17.3 million people
yearly lose their lives due to heart diseases. Besides, any error in diagnosis of cardiac …
yearly lose their lives due to heart diseases. Besides, any error in diagnosis of cardiac …
Photoplethysmography signal processing and synthesis
This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
A two-stage classification model integrating feature fusion for coronary artery disease detection and classification
Abstract According to the World Health Organization, Coronary Artery Disease (CAD) is a
leading cause of death globally. CAD is categorized into three types, namely Single Vessel …
leading cause of death globally. CAD is categorized into three types, namely Single Vessel …
Synthetic PPG generation from haemodynamic model with baroreflex autoregulation: a Digital twin of cardiovascular system
Synthetic data generation has recently emerged as a substitution technique for handling the
problem of bulk data needed in training machine learning algorithms. Healthcare, primarily …
problem of bulk data needed in training machine learning algorithms. Healthcare, primarily …
Synthetic PPG signal generation to improve coronary artery disease classification: Study with physical model of cardiovascular system
This paper presents a novel approach of generating synthetic Photoplethysmogram (PPG)
data using a physical model of the cardiovascular system to improve classifier performance …
data using a physical model of the cardiovascular system to improve classifier performance …
Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals
Heart diseases are a major cause of human casualties each year. An accurate and efficient
diagnosis is essential to minimize their risk. This paper presents a system for the …
diagnosis is essential to minimize their risk. This paper presents a system for the …
Study of feature extraction algorithms on photoplethysmography (ppg) signals to detect coronary heart disease
MF Ihsan, S Mandala… - … Conference on Data …, 2022 - ieeexplore.ieee.org
Coronary Heart Disease (CHD) is the most dangerous heart disease, this disease occurs,
when the blood supply containing oxygen and nutrients to the heart muscle blocked by …
when the blood supply containing oxygen and nutrients to the heart muscle blocked by …
VideoCAD: an uncertainty-driven neural network for coronary artery disease screening from facial videos
X Liu, X Yang, R Song, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Coronary artery disease (CAD) is highly prevalent worldwide but is challenging to identify
due to its hidden symptoms. Facial videos provide a possible means for CAD screening as …
due to its hidden symptoms. Facial videos provide a possible means for CAD screening as …
ECG-based detection and prediction models of sudden cardiac death: Current performances and new perspectives on signal processing techniques
Heart disease remains the main leading cause of death globally and around 50% of the
patients died due to sudden cardiac death (SCD). Early detection and prediction of SCD …
patients died due to sudden cardiac death (SCD). Early detection and prediction of SCD …
Two-stage framework for seasonal time series forecasting
Seasonal time series Forecasting remains a challenging problem due to the long-term
dependency from seasonality. In this paper, we propose a two-stage framework to forecast …
dependency from seasonality. In this paper, we propose a two-stage framework to forecast …