Digital Biosignal Processing - BIOE96023
Aims
Digital Biosignal Processing begins with the introduction to the analysis of discrete-time deterministic signals and systems, including discrete-time convolution, the z-transform, the discrete-time Fourier transform, and digital filters. The course then introduces discrete-time stochastic processes, their characterization, and processing. The topics will be presented in relation to their biomedical applications, with examples from ECG, EMG, EEG, and other types of electrophysiological recordings. Each lecture will be followed by MATLAB exercises on real biomedical signals and problems
Role
Course Leader
Mechanics and Electronics 1 - BIOE40006
Aims
The aims of this module are: To introduce students to the principles of mechanics and electronics To demonstrate the mathematical connections between these topics To build students practical experience in electronics and mechanics labs To show how these concepts can be used to study bioengineering problems
Role
Lecturer
Mathematics and Engineering 2 - BIOE50005
Aims
The aims of this modules are to: Ensure that all students acquire the mathematical knowledge and skills required for the second and later years of their Molecular Engineering programme. Build on the basic principles of electronics and mechanics introduced in year 1 and extend these to cover electromagnetics and solid and fluid mechanics. Introduce the principles of signals and control as required for further courses in the Molecular Bioengineering degree. Provide practice in solving mathematical, signals and control, electrical and mechanical problems posed in a Bioengineering context.
Role
Lecturer