The conference should give a forum for information exchange among theoreticians, engineers, and medical people. Original papers, research results, and contributions concerning interesting technical solutions will be appreciated as well as clinical experiences and survey lectures for presentation in the following areas:
Department of Engineering Science, Institute of Biomedical Engineering, Headington, Oxford
Grade 7: Salary in the range £29,099 – £31,798 p.a.
We are seeking a Research Assistant to join the Biomedical Signal Processing group at the Institute of Biomedical Engineering (Headington, Oxford). The post is available for 3 years from 4 September 2011.
You should have a Postgraduate degree in a relevant Science, Engineering, Maths or technology subject and experience of the following: signal processing, or pattern recognition or image analysis; developing, maintaining and producing information from databases; programming signal, data or image analysis methods in C/C++ and Matlab; algorithm validation and knowledge of statistical testing.
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.
• Bioelectric phenomenon is of immense importance to
biomedical engineers because these potentials are routinely
recorded in modern clinical practice.
• ECG (Electrocardiogram), EMG (Electromyogram), EEG
(Electroencephalogram), ENG (Electroneurogram), EOG
(Electro-oculogram), ERG (Electroretinogram), etc. are some
examples of biopotentials.
• As engineers, we should have a good physical insight into the
nature of electromagnetic fields generated by bioelectric
sources. Therefore we could contribute to quantitative solution
of biological problems.
To understand the origin of biopotentials we need to focus on:
