Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

60.175 UPC academic works
You are here:
View Item 
  •   DSpace Home
  • Treballs acadèmics
  • Escola d'Enginyeria de Barcelona Est
  • Grau en Enginyeria Electrònica Industrial i Automàtica (Pla 2009)
  • View Item
  •   DSpace Home
  • Treballs acadèmics
  • Escola d'Enginyeria de Barcelona Est
  • Grau en Enginyeria Electrònica Industrial i Automàtica (Pla 2009)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Analysis and spike detection of neural data from a CMOS MEA system

Thumbnail
View/Open
Laura Ibáñez Bachelor Thesis.pdf (2,512Mb)
Share:
 
  View Usage Statistics
Cita com:
hdl:2117/177010

Show full item record
Ibáñez Martínez, Laura
Tutor / directorBenítez Iglesias, RaúlMés informacióMés informacióMés informació
CovenanteeTechnische Universität Berlin
Document typeBachelor thesis
Date2019-10-31
Rights accessOpen Access
Attribution-NonCommercial 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial 3.0 Spain
Abstract
This thesis is intended to deal with the problem of analysis and spike detection in neural data acquired from a CMOS Microelectrode Array (MEA) system. In order for this to be carried out a Graphical User Interface (GUI) application has been created. The data to analyze comes from an in-vitro recording and stimulation system which uses a 65 x 65 CMOS MEA and it is stored in HDF5 files with the .cmcr extension. The GUI application developed in Python is able to read these files and perform a number of tasks which facilitate the detection and visualization of neural activity within the tissue subjected to analysis. This is accomplished by interpreting the voltage measurements at every coordinate of the array over time for the search of Action Potentials (APs) or spikes. Once the spikes are detected the information is stored to be presented in different ways and a comparison is carried out to detect when and where most activity has taken place. The GUI application created enables the visualization of both raw and filtered data at a particular coordinate over time and showing the spikes that have been detected. Moreover, a second type of plot makes it possible to view the whole array filtered data for an exact time sample, as well as which coordinates present most neural activity. Finally, a number of tables show useful information about the pixel coordinates, time and height of these spikes.
SubjectsMetal oxide semiconductors, Graphical user interfaces (Computer systems), Metall-òxid-semiconductors, Interfícies gràfiques d'usuari (Informàtica)
DegreeGRAU EN ENGINYERIA ELECTRÒNICA INDUSTRIAL I AUTOMÀTICA (Pla 2009)
URIhttp://hdl.handle.net/2117/177010
Collections
  • Escola d'Enginyeria de Barcelona Est - Grau en Enginyeria Electrònica Industrial i Automàtica (Pla 2009) [691]
Share:
 
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
Laura Ibáñez Bachelor Thesis.pdf2,512MbPDFView/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Inici de la pàgina