Add to ORKGEstimation of pulmonary arterial pressure by a neural network analysis using features based on time-frequency representations of the second heart sound
Pulmonary diseases can be divided into central and peripheral conditions, depending on the area affe...
Respiration sounds of individual asthmatic patients were analysed in the scope of the development of...
Background: Computerized lung sound analysis involves recording lung sound via an electronic device,...
The original publication is available at www.springerlink.com H AL author m anuscript inser
The objective of the study was to develop a non-invasive method for the estimation of pulmonary arte...
The oscillometric method is the most commonly used automatic monitoring blood pressure measurement m...
Estimation of systolic and diastolic pressures from the oscillometric waveform is a challenging task...
Objective : To develop and validate a new non-invasive method for the estimation of pulmonary arteri...
The diagnosis of heart diseases from heart sounds is a matter of many years. This is the effect of h...
Abstract:- In this paper, we describe a use of Neural Networks (NN) of formal neurons for prediction...
Aims: Design to develop an artificial intelligence (AI) algorithm to accurately predict the pulmonar...
High blood pressure is a major public health issue. However, there are many physical and non-physica...
Abstract This study compares a neural network-based autoregressive exogenous (NNARX) model with a...
The objective of the present work was to test and validate a noninvasive method based on spectral an...
Periodic health control monitoring can assist us to minimize the effect of undiscovered chronic hype...
Pulmonary diseases can be divided into central and peripheral conditions, depending on the area affe...
Respiration sounds of individual asthmatic patients were analysed in the scope of the development of...
Background: Computerized lung sound analysis involves recording lung sound via an electronic device,...
The original publication is available at www.springerlink.com H AL author m anuscript inser
The objective of the study was to develop a non-invasive method for the estimation of pulmonary arte...
The oscillometric method is the most commonly used automatic monitoring blood pressure measurement m...
Estimation of systolic and diastolic pressures from the oscillometric waveform is a challenging task...
Objective : To develop and validate a new non-invasive method for the estimation of pulmonary arteri...
The diagnosis of heart diseases from heart sounds is a matter of many years. This is the effect of h...
Abstract:- In this paper, we describe a use of Neural Networks (NN) of formal neurons for prediction...
Aims: Design to develop an artificial intelligence (AI) algorithm to accurately predict the pulmonar...
High blood pressure is a major public health issue. However, there are many physical and non-physica...
Abstract This study compares a neural network-based autoregressive exogenous (NNARX) model with a...
The objective of the present work was to test and validate a noninvasive method based on spectral an...
Periodic health control monitoring can assist us to minimize the effect of undiscovered chronic hype...
Pulmonary diseases can be divided into central and peripheral conditions, depending on the area affe...
Respiration sounds of individual asthmatic patients were analysed in the scope of the development of...
Background: Computerized lung sound analysis involves recording lung sound via an electronic device,...