Atrium Fibrillation Detection - Interference suppression
Project outside the universityIn collaboration with Erasmus MC (cardiology)
Erasmus MC developed a 192-channel measurement device to capture signals from the atrium during open heart surgery. These heart-beat signals appear to be contaminated by similar signals from the ventricle. The latter signals can also be captured using regular ECG (i.e., a reference signal is available). Current processing consists of manual detection of the interfering signal, and "blanking" (throwing away) the contaminated part.
Our aim is to use tools from array signal processing to do the source separation and detection.
AssignmentResearch questions are:
- Can the detection be automated?
- Is a reference signal needed or can it be done blindly?
- Can the interference be removed using spatial filtering techniques?
RequirementsBackground in statistical signal processing/array signal processing (e.g. EE4C03, et4147, et4386).
The student will stay partly at Erasmus MC.
prof.dr.ir. Alle-Jan van der Veen
Circuits and Systems Group
Department of Microelectronics
Last modified: 2016-06-14