This hands on workshop aims at providing basic knowledge of MATLAB and its application for Medical Digital Image Processing used for research. This custom course outline created especially for ramping up the students of Biomedical Engineering.
This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students / Participants fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with students/participants solving sample MATLAB problems. Problem-based MATLAB assignments are given which require significant time on MATLAB.
A 3-Day workshop on Bio-Medical Signal Processing for Biomedical Engineering students, Faculties and Research Scholars, Hosted by the
Department of Biomedical Engineering at GRIET, on behalf of CARDEA LABS. Cardea Biomedical Technologies Pvt. Ltd. Was incorporated in March 2008 with aim of providing low cost noninvasive healthcare solutions. Founded by first generation entrepreneurs with dedicated teams both for hardware design and software development. It provides complete, innovative and cost-effective solutions to the pressing clinical needs of India and the world at large. Cardea works closely with scientists, researchers, medical and business professionals to bring about major advances in healthcare. Solving medical related problems, developing healthcare products and providing services to improve people’s lives is our
Interested candidates fulfilling the following requirements can submit their bio-data along with attested copies of certificates in support of their qualifications and experience mentioned in the bio-data latest by 7th May 2012 to “The Registrar, National Brain Research Centre, Nainwal Mode, Manesar-122 050, Distt- Gurgaon (Haryana)
Minimum qualification: B.Tech / BE (Electrical Engg. / Electronical Engg. / Computer Science / Chemical / Biomedical / Nuroscience) with minimum 60% marks from Matriculation onwards.
This short term course is intended to highlight the theoretical and practical aspects of the soft computing in the domain of signal and image processing. Soft computing refers to collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty, approximation, partial truth, robustness, low solution cost and ease of implementation. Soft computing includes the technologies of fuzzy logic and neural networks. It is an effective tool for dealing with control, modeling, and decision making in pattern classifiers used in signal and image processing applications. The Course also promises proficient practice of above tools in MATLAB environment.