[2016; already taken] Stochastic Resonance Neural Amplifier Design

Stochastic resonance is a mechanism that allows high-resolution signal processing with binary and noise building blocks. It is the way nature communicates and is of great interest in the domain of bioinspired circuit and system design. It is a circuit principle that is still at its infancy, but seems naturally tailored to the signal processing of natural, e.g., biomedical, signals. It is less depending on matching, uses a kind of winner-take-all approach and is, too a large extent, still a mystery.

Assignment

The ultimate aim of this MSc thesis project is to come up with a new circuit paradigm for the amplification and pre-processing of electrophysiological signals, such as EEG, ECoG and ENG. The project will comprise the following phases:

1. extensive literature study
2. concept generation
3. system verification by means of Matlab
4. circuit design
5. circuit verification by means of Cadence, ADS or Spice
6. circuit and system realization by means of IC design or discrete components
7. verification by means of measurements and/or post-layout circuit simulations
8. documentation in the form of a conference or journal publication and an MSc thesis

Requirements

Prospective students can either come from our MSc EE or BME studies and should have a broad interest in both microelectronics and signal processing. Some understanding of electrophysiological signals is an advantage. Students should have passed/followed Active Implantable Biomedical Microsystems (EE4555).

Interested students should send their CV, a list of courses and grades received and a few lines of motivation to: prof.dr.ir. Wouter A. Serdijn

Contact

prof.dr.ir. Wouter Serdijn

Bioelectronics Group

Department of Microelectronics

Last modified: 2018-03-14