Titlebook: CMBEBIH 2017; Proceedings of the I Almir Badnjevic Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Biomedical Signal Pr

Lyme-disease

CMBEBIH 2017978-981-10-4166-2Series ISSN 1680-0737 Series E-ISSN 1433-9277

Pastry

Using machine learning tool in classification of breast cancer of the research is to design an Artificial Neural Network (ANN) with high and acceptable level of accuracy by selecting the number of hidden layers, number of neurons in the hidden layer and the type of activation functions in hidden layers. Samples for training and validation of ANN are obtained f

RLS898

MULTISAB project: a web platform based on specialized frameworks for heterogeneous biomedical time stecture is based on three subprojects: frontend, backend, and processing. Frontend uses several contemporary web technologies to present a fast, responsive and pleasing user interface. Backend, written in Java, communicates with a database and with other servers, on which the processing subproject i

Morsel

牛的細(xì)微差別

Cardiac pulse waves modeling and analysis in laser Doppler perfusion signals of the skin microcirculcardiovascular patients. In this paper, we present a modeling technique to reconstruct and characterize the cardiac-related pulse waves, observed in laser Doppler flowmetry signals of the peripheral skin perfusion. We tested the sensitivity of the proposed model to physiological alterations of the v

Anticoagulant

Discrimination of Psychotic Symptoms from Controls Through Data Mining Methods Based on Emotional Pr with respect to complexity of frequency band activities (Delta, Theta, Alpha, Beta, Gamma)in multi channel EEG measurements mediated by emotional, static and visual stimuli including affective pictures from IAPS. Degree of local EEG complexity has been correlated by largeness of the dominant princi

考古學(xué)

爭議的蘋果

外露

LUCY

Fully Automated Brain Tumor Segmentation and Volume Estimation Based on Symmetry Analysis in MR Imags and treatment. Expert physicians use image slices obtained from advanced imaging techniques such as Magnetic Resonance Imaging (MRI), Computed Tomopghraphy (CT) to define existing of a tumor. This process has a difficulty as it requires a high concentration on many image slices. On the other hand,