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Linear and nonlinear analysis of normal and CAD-affected heart rate signals
Coronary artery disease (CAD) is one of the dangerous cardiac disease, often may lead to
sudden cardiac death. It is difficult to diagnose CAD by manual inspection of …
sudden cardiac death. It is difficult to diagnose CAD by manual inspection of …
Classification of heart rate data using artificial neural network and fuzzy equivalence relation
The electrocardiogram is a representative signal containing information about the condition
of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various …
of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various …
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals
Coronary artery disease (CAD) is the narrowing of coronary arteries leading to inadequate
supply of nutrients and oxygen to the heart muscles. Over time, the condition can weaken …
supply of nutrients and oxygen to the heart muscles. Over time, the condition can weaken …
Automated identification of normal and diabetes heart rate signals using nonlinear measures
Diabetes mellitus (DM) affects considerable number of people in the world and the number
of cases is increasing every year. Due to a strong link to the genetic basis of the disease, it is …
of cases is increasing every year. Due to a strong link to the genetic basis of the disease, it is …
An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals
Abstract Coronary Artery Disease (CAD) causes maximum death among all types of heart
disorders. An early detection of CAD can save many human lives. Therefore, we have …
disorders. An early detection of CAD can save many human lives. Therefore, we have …
Heart rate variability analysis using correlation dimension and detrended fluctuation analysis
The ECG is a representative signal containing information about the condition of the heart.
The shape and size of the P-QRS-T wave, the time intervals between its various peaks, etc …
The shape and size of the P-QRS-T wave, the time intervals between its various peaks, etc …
Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals
Large number of people are affected by Diabetes Mellitus (DM) which is difficult to cure due
to its chronic nature and genetic link. The uncontrolled diabetes may lead to heart related …
to its chronic nature and genetic link. The uncontrolled diabetes may lead to heart related …
Automatic identification of cardiac health using modeling techniques: A comparative study
Heart rate variability (HRV), a widely adopted quantitative marker of the autonomic nervous
system can be used as a predictor of risk of cardiovascular diseases. Moreover, decreased …
system can be used as a predictor of risk of cardiovascular diseases. Moreover, decreased …
An integrated diabetic index using heart rate variability signal features for diagnosis of diabetes
Electrocardiogram (ECG) signals are difficult to interpret, and clinicians must undertake a
long training process to learn to diagnose diabetes from subtle abnormalities in these …
long training process to learn to diagnose diabetes from subtle abnormalities in these …
Psychological stress detection using phonocardiography signal: An empirical mode decomposition approach
Psychological stress is a part of the modern day lifestyle and affects human cognitive
abilities. The well-established relation between stress and a host of behavioural and somatic …
abilities. The well-established relation between stress and a host of behavioural and somatic …