Literature DB >> 27503901

Electrophysiology for biomedical engineering students: a practical and theoretical course in animal electrocorticography.

Ana L Albarracín1, Fernando D Farfán2, Marcos A Coletti2, Pablo Y Teruya2, Carmelo J Felice2.   

Abstract

The major challenge in laboratory teaching is the application of abstract concepts in simple and direct practical lessons. However, students rarely have the opportunity to participate in a laboratory that combines practical learning with a realistic research experience. In the Biomedical Engineering career, we offer short and optional courses to complement studies for students as they initiate their Graduation Project. The objective of these theoretical and practical courses is to introduce students to the topics of their projects. The present work describes an experience in electrophysiology to teach undergraduate students how to extract cortical information using electrocorticographic techniques. Students actively participate in some parts of the experience and then process and analyze the data obtained with different signal processing tools. In postlaboratory evaluations, students described the course as an exceptional opportunity for students interested in following a postgraduate science program and fully appreciated their contents.
Copyright © 2016 The American Physiological Society.

Keywords:  cortical oscillations; electrocorticography; signal processing

Mesh:

Year:  2016        PMID: 27503901     DOI: 10.1152/advan.00073.2015

Source DB:  PubMed          Journal:  Adv Physiol Educ        ISSN: 1043-4046            Impact factor:   2.288


  3 in total

1.  Integrating the Allen Brain Institute Cell Types Database into Automated Neuroscience Workflow.

Authors:  David B Stockton; Fidel Santamaria
Journal:  Neuroinformatics       Date:  2017-10

2.  Quantifying muscle alterations in a Parkinson's disease animal model using electromyographic biomarkers.

Authors:  Pablo Y Teruya; Fernando D Farfán; Álvaro G Pizá; Jorge H Soletta; Facundo A Lucianna; Ana L Albarracín
Journal:  Med Biol Eng Comput       Date:  2021-07-23       Impact factor: 2.602

3.  Muscle function alterations in a Parkinson's disease animal model: Electromyographic recordings dataset.

Authors:  Ana L Albarracín; Fernando D Farfán
Journal:  Data Brief       Date:  2021-12-16
  3 in total

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