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Bacterial meningitis is still a life-threatening disease, and early diagnosis of pathogen can be crucial to improving survival rate. Using the surface-enhanced Raman scattering (SERS) platform developed by our group, the pathogens can be differentiated on the basis of their SERS spectra which are believed to related to their surface chemical components. We collected the SERS spectra of ten pathogens:...
The study of the intestinal interdigestive motor migratory complex (IMMC) is relevant in gastroenterology because most of the gastrointestinal pathologies are reflected in anomalies of the IMMC. The aim of this work is to develop an automatic classifier to discriminate among the different intestinal contractile activity degrees (quiescence, irregular, and maximum contractile activity) that compound...
The aim of this study is to develop and evaluate an algorithm to help in the diagnosis of the obstructive sleep apnea syndrome (OSAS). Arterial oxygen saturation (SaO2) signals from nocturnal pulse oximetry were used to identify OSAS patients. A total of 149 SaO2 recordings from subjects suspected of OSAS were available. The initial population was divided into a training set (74 subjects) and a test...
Since EEG is one of the most important sources of information in diagnosis of epilepsy, several researchers tried to address the issue of decision support for such a data. We present a method for classifying epilepsy of full spectrum EEG recordings. In the proposed method, autoregressive (AR) model is used to acquire power spectrum of EEG signals, then dimension of the extracted feature vectors is...
Noninvasive diagnosis method of coronary artery disease is proposed based on the instantaneous frequency estimate of diastolic murmurs and support vector machine(SVM) classifier. Hilbert-Huang transform is studied to analyze the instantaneous frequency of diastolic murmurs. The weighted instantaneous frequency is introduced. Using statistical quantities of weighted instantaneous frequency forms feature...
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