Phonocardiogram signal processing for automatic diagnosis of congenital heart disorders through fusion of temporal and cepstral features
Congenital heart disease (CHD) is a heart disorder associated with the devastating
indications that result in increased mortality, increased morbidity, increased healthcare …
indications that result in increased mortality, increased morbidity, increased healthcare …
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling
Abstract Information extracted from electrohysterography recordings could potentially prove
to be an interesting additional source of information to estimate the risk on preterm birth …
to be an interesting additional source of information to estimate the risk on preterm birth …
Electricity theft detection using empirical mode decomposition and K-nearest neighbors
Electricity theft is a criminal practice of stealing electricity. In the country like Pakistan where
the consumption is more than the production, the electricity theft can be hazardous for the …
the consumption is more than the production, the electricity theft can be hazardous for the …
Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns
Cardiac disorders are one of the prime reasons for an increasing global death rate. Reliable
and efficient diagnosis procedures are imperative to minimize the risk posed by heart …
and efficient diagnosis procedures are imperative to minimize the risk posed by heart …
Spectral analysis of lungs sounds for classification of asthma and pneumonia wheezing
World Health Organization Statistics declares the pulmonic illness as the class of deadly
illness. Wheezing is a key indicator for the diagnosis of pulmonic illnesses like Asthma and …
illness. Wheezing is a key indicator for the diagnosis of pulmonic illnesses like Asthma and …
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 …
Biometric Authentication System Based on Electrocardiogram (ECG)
Electrocardiogram (ECG) is the measure of the electrical activity of heart which provides a
powerful authentication system for person recognition due to the variation in ECG …
powerful authentication system for person recognition due to the variation in ECG …
A novel pulse plethysmograph signal analysis method for identification of myocardial infarction, dilated cardiomyopathy, and hypertension
Cardiac diseases (CDs) are one of the leading causes of the growing global mortality rate.
Early detectionof CDs is necessary to avoid a high increase in the mortality rate. Machine …
Early detectionof CDs is necessary to avoid a high increase in the mortality rate. Machine …
Biometric authentication based on EMG signals of speech
Electromyography (EMG) of speech is the recording of muscle action potentials in the neck
region during the speech. This paper proposed a first of its kind method of a biometric …
region during the speech. This paper proposed a first of its kind method of a biometric …
Classification of coronary artery diseases using electrocardiogram signals
Coronary Artery Diseases (CAD) are the leading cause of adult mortality and morbidity
globally. Eelectrocardiogram (ECG) is the most promising biophysical signature for the study …
globally. Eelectrocardiogram (ECG) is the most promising biophysical signature for the study …