Biomed Revolution Aims to explore and improve research in Biomedicine and Healthcare Applications to encourage students to come up with bright innovative ideas. Conference will provide a platform for sharing knowledge and experience in the field of Biomedical Engineering.
IEEE Bangalore Section organizes the Flagship Conference, B R V Vardhan UG/PG paper presentation contest this time in association with REVA Institute of Technology and Management, Bangalore. The conference includes wide areas in electrical, electronics, computers and Bio Medical applications of research, organized into parallel technical tracks. B R V Vardhan-2013 features a host of highly relevant and cutting edge events including Keynote addresses besides having a high quality technical program.
Computer supported, interactive e-learning systems are widely used in the teaching of physiology. However, the currently available complimentary software tools in the field of the physiology of cardiovascular mechanics have not yet been adapted to the latest systems software. Therefore, a simple-to-use replacement for undergraduate and graduate students‘ education was needed, including an up-to-date graphical software that is validated and field-tested.
Software compatible to Windows, based on modified versions of existing mathematical algorithms, has been newly developed. Testing was performed during a full term of physiological lecturing to medical and biology students.
Background: Heart signals represent an important way to evaluate cardiovascular function and often what is desired is to quantify the level of some signal of interest against the louder backdrop of the beating of the heart itself. An example of this type of application is the quantification of cavitation in mechanical heart valve patients.
Methods: An algorithm is presented for the quantification of high-frequency, non-deterministic events such as cavitation from recorded signals. A closed-form mathematical analysis of the algorithm investigates its capabilities. The algorithm is implemented on real heart signals to investigate usability and implementation issues. Improvements are suggested to the base algorithm including aligning heart sounds, and the implementation of the Short-Time Fourier Transform to study the time evolution of the energy in the signal.