PORTALE DELLA DIDATTICA

Ricerca CERCA
  KEYWORD

GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO

Theses abroad

Source separation algorithms to identify biological signals

azienda Thesis in external company    estero Thesis abroad


keywords PYTHON PROGRAMMING, A/D CONVERTERS, RASPBERRY PI,

Reference persons GABRIELLA OLMO

External reference persons Prof. Marco Mazza,
University of Applied Sciences of Western Switzerland, CH-1700 Fribourg

Research Groups GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO

Thesis type EXPERIMENTAL

Description Aim of this work is to record electrical signals through a multi-channel electrophysiology biosensor (developed in out University) and then to apply source separation algorithms to clearly identify each biological signals, one from each other and from external noisy sources.
The algorithm proposed by Herault-Jutten in 1988 has been successfully tested in our University with acoustic sources.


Deadline 27/05/2020      PROPONI LA TUA CANDIDATURA




© Politecnico di Torino
Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY
Contatti