Objective: In this paper, the new complex-valued wavelet artificial neural network (CVWANN) was proposed for classifying Doppler signals recorded from patients and healthy volunteers. CVWANN was implemented on four different structures (CVWANN-1, -2, -3 and -4)
Due to the growing number of cardiac patients, an automatic detection that detects various heart abn...
Abstract-In this paper, a classification method for respiratory sounds (RSs) in patients with asthma...
Tissue Doppler Imaging is an essential echocardiographic technique for the non-invasive assessment o...
Objective: In this paper, the new complex-valued wavelet artificial neural network (CVWANN) was prop...
In this study, carotid arterial Doppler ultrasound signals were acquired from left carotid arteries ...
Doppler ultrasound is a noninvasive technique which is widely used in medicine for the assessment of...
Nowadays, radar has been applied to human activity classification in the aging-in-place for health m...
International audienceBackground: Arterial Doppler flow waveform analysis is a tool recommended for ...
Doppler umbilical artery blood flow velocity waveform measurements are used in perinatal surveillanc...
In this paper, an expert diagnosis system is presented for interpretation of the Doppler signals of ...
Doppler umbilical artery blood flow velocity waveform measurement is used in perinatal surveillance ...
Human activities classification in assisted living is one of the emerging applications of radar. The...
Abstract-In this study, we develop a new automated pattern recognition system for interpretation of ...
Abstract: Wavelet-neural systems (WNS) presented in this work, inheriting the properties of neural n...
The objective of this research is to show the diagnostic value of discrete wavelet transform (DWT) a...
Due to the growing number of cardiac patients, an automatic detection that detects various heart abn...
Abstract-In this paper, a classification method for respiratory sounds (RSs) in patients with asthma...
Tissue Doppler Imaging is an essential echocardiographic technique for the non-invasive assessment o...
Objective: In this paper, the new complex-valued wavelet artificial neural network (CVWANN) was prop...
In this study, carotid arterial Doppler ultrasound signals were acquired from left carotid arteries ...
Doppler ultrasound is a noninvasive technique which is widely used in medicine for the assessment of...
Nowadays, radar has been applied to human activity classification in the aging-in-place for health m...
International audienceBackground: Arterial Doppler flow waveform analysis is a tool recommended for ...
Doppler umbilical artery blood flow velocity waveform measurements are used in perinatal surveillanc...
In this paper, an expert diagnosis system is presented for interpretation of the Doppler signals of ...
Doppler umbilical artery blood flow velocity waveform measurement is used in perinatal surveillance ...
Human activities classification in assisted living is one of the emerging applications of radar. The...
Abstract-In this study, we develop a new automated pattern recognition system for interpretation of ...
Abstract: Wavelet-neural systems (WNS) presented in this work, inheriting the properties of neural n...
The objective of this research is to show the diagnostic value of discrete wavelet transform (DWT) a...
Due to the growing number of cardiac patients, an automatic detection that detects various heart abn...
Abstract-In this paper, a classification method for respiratory sounds (RSs) in patients with asthma...
Tissue Doppler Imaging is an essential echocardiographic technique for the non-invasive assessment o...
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