Biosignal 2012-21st Biennial International Conference 28-30th June

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:

  1. Biological signal processing
  2. Medical imaging and image analysis
  3. Modeling in biomedicine
  4. Cell and tissue engineering
  5. Bioinformatics

The conference will be open to contributions from related fields.

Conference Chairman: 
Prof. Ivo Provaznik, Brno University of Technology

Department of Biomedical Engineering, Faculty of Electrical Engineering and
Computer Science, Brno University of Technology

Biomedical Research Assistant Required in Oxford University

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.

New Algorithm for Quantification of High Frequency and Non-deterministic events of Heart

Normal ECG
Image via Wikipedia

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.


The Origin of Biopotentials
(Review of physiological concepts)

•  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:

•  Bioelectric phenomena at the cellular level