000780194 000__ 05501cam\a2200553Ii\4500
000780194 001__ 780194
000780194 005__ 20230306143100.0
000780194 006__ m\\\\\o\\d\\\\\\\\
000780194 007__ cr\nn\nnnunnun
000780194 008__ 170315s2017\\\\si\\\\\\o\\\\\100\0\eng\d
000780194 019__ $$a984864845
000780194 020__ $$a9789811041662$$q(electronic book)
000780194 020__ $$a9811041660$$q(electronic book)
000780194 020__ $$z9789811041655
000780194 0247_ $$a10.1007/978-981-10-4166-2$$2doi
000780194 035__ $$aSP(OCoLC)ocn975999738
000780194 035__ $$aSP(OCoLC)975999738$$z(OCoLC)984864845
000780194 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dEBLCP$$dOCLCF$$dYDX$$dOCLCO$$dUAB$$dOCLCO$$dIOG$$dOCLCO$$dAZU$$dUPM
000780194 049__ $$aISEA
000780194 050_4 $$aR856.A2
000780194 08204 $$a610.28$$223
000780194 1112_ $$aInternational Conference on Medical and Biological Engineering$$d(2017 :$$cSarajevo, Bosnia and Herzegovina)
000780194 24510 $$aCMBEBIH 2017 :$$bProceedings of the International Conference on Medical and Biological Engineering 2017 /$$cAlmir Badnjevic (ed.).
000780194 264_1 $$aSingapore :$$bSpringer,$$c2017.
000780194 300__ $$a1 online resource.
000780194 336__ $$atext$$btxt$$2rdacontent
000780194 337__ $$acomputer$$bc$$2rdamedia
000780194 338__ $$aonline resource$$bcr$$2rdacarrier
000780194 347__ $$atext file$$bPDF$$2rda
000780194 4901_ $$aIFMBE Proceedings ;$$vvolume 62
000780194 5050_ $$aPreface; Organization; Contents; Plenary Lectures I -- Session I: BIOMEDICAL SIGNAL PROCESSING 1; 1 Using machine learning tool in classification of breast cancer; Abstract.; Keyword; 1 Introduction; 2 Methods; 2.1 Wisconsin Breast Cancer Database (WBCD; 2.2 Design of Artificial Neural Network for BreastCancer Classification; 3 Results and discussion; 3.1 Predictive ability of neural network architecturewith different number of hidden layers; 4 c onclusion
000780194 5058_ $$a2 MULTISAB project: a web platform based on specialized frameworks for heterogeneous biomedical time series analysis -- an architectural overviewAbstract.; Keywords:; 1 Introduction; 2 Processing frameworks; 2.1 Common signal features framework; 2.2 Data handling framework; 2.3 Specialized biomedical time series analysis frameworks; 4 Signal visualization; 3 Database; 5 Discussion and conclusion; Conflict of Interest; Acknowledgements; References
000780194 5058_ $$a3 Short-term variations of parameters of heart rate variability in subjects with mild hypertension and normotensive subjects during preoperative periodAbstract; Introduction; Methods and subjects; Keywords; Results; Discussion; Conclusion; 4 Cardiac pulse waves modeling and analysis in laser Doppler perfusion signals of the skin microcirculation; Abstract.; 1 Introduction; 2 Materials and methods; 2.1 Dataset; 2.2 Experimental setting; 2.3 Gaussian-based cardiac pulse waves modeling; 3 Results; 4 Conclusion; Acknowledgement; References
000780194 5058_ $$a5 Discrimination of Psychotic Symptoms from Controls Through Data Mining Methods Based on Emotional Principle ComponentsAbstract.; Keywords:; 1 Introduction; 2 Methods; 2.1 Data Collection; 2.2 Feature Extraction; 2.3 Data Mining Methods for Emotion Recognition; 2.4 Performance Criteria; 3 Results; 4 Discussion and Conclusion; Acknowledgements; References; 6 Differences in temporal gait parameters between multiple sclerosis and healthy people; Abstract.; Keywords:; 1 Introduction; 2 Methods; 3 Results; 4 Summary and conclusions; References
000780194 5058_ $$a7 An Adaptive Scheme for X-ray Medical Image Denoising using Artificial Neural Networks and Additive White Gaussian Noise Level Estimation in SVD DomainAbstract.; Keywords:; 1 Introduction; 2 Singular r Value Dec composition n and Noise Level E stimation; 3 O verview of M Multilayer P Perceptron; 4 Adaptive Image Denoising; 5 Results and Discussion; 6 Conclusion; References; 8 Using Neural Networks and Ensemble Techniques based on Decision Trees for Skin Permeability Prediction; Abstract.; Keywords:; 1 Introduction; 2 Methods
000780194 506__ $$aAccess limited to authorized users.
000780194 520__ $$aThis volume presents the proceedings of the International Conference on Medical and Biological Engineering held from 16 to 18 March 2017 in Sarajevo, Bosnia and Herzegovina. Focusing on the theme of ‘Pursuing innovation. Shaping the future’, it highlights the latest advancements in Biomedical Engineering and also presents the latest findings, innovative solutions and emerging challenges in this field. Topics include: - Biomedical Signal Processing - Biomedical Imaging and Image Processing - Biosensors and Bioinstrumentation - Bio-Micro/Nano Technologies - Biomaterials - Biomechanics, Robotics and Minimally Invasive Surgery - Cardiovascular, Respiratory and Endocrine Systems Engineering - Neural and Rehabilitation Engineering - Molecular, Cellular and Tissue Engineering - Bioinformatics and Computational Biology - Clinical Engineering and Health Technology Assessment - Health Informatics, E-Health and Telemedicine - Biomedical Engineering Education - Pharmaceutical Engineering.
000780194 588__ $$aOnline resource; title from PDF title page (viewed March 17, 2017).
000780194 650_0 $$aEngineering$$vCongresses.
000780194 650_0 $$aBiomedical engineering$$vCongresses.
000780194 650_0 $$aMedical informatics$$vCongresses.
000780194 650_0 $$aBiomedical materials$$vCongresses.
000780194 7001_ $$aBadnjevic, Almir,$$eeditor.
000780194 77608 $$iPrint version:$$z9789811041655
000780194 830_0 $$aIFMBE proceedings ;$$vv. 62.
000780194 852__ $$bebk
000780194 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-4166-2$$zOnline Access$$91397441.1
000780194 909CO $$ooai:library.usi.edu:780194$$pGLOBAL_SET
000780194 980__ $$aEBOOK
000780194 980__ $$aBIB
000780194 982__ $$aEbook
000780194 983__ $$aOnline
000780194 994__ $$a92$$bISE