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Research article summary:

Introducing BF++: AC++ framework for cognitive bio-feedback systems design.

Abstract Extract:
OBJECTIVE: This paper addressed the issue of building-up a framework for the realization of several cognitive bio-feedback (CBF) systems. It minimizes the programming effort and maximizes the efficiency and the cross-platform portability so that it can ... (Full abstract text below)

Published 2003 in Journal: Methods Inf Med (Language : eng)

Full Pubmed Extract

This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:

1. Methods Inf Med. 2003 ;42(1):104-10

Introducing BF++: AC++ framework for cognitive bio-feedback systems design.

Bianchi L, Babiloni F, Cincotti F, Salinari S, Marciani MG

Dip. Neuroscienze, Universitą Tor Vergata, Rome, Italy. theboss@luigibianchi.com

OBJECTIVE: This paper addressed the issue of building-up a framework for the realization of several cognitive bio-feedback (CBF) systems. It minimizes the programming effort and maximizes the efficiency and the cross-platform portability so that it can be used with many platforms (either software or hardware). METHODS: A generic CBF system was decomposed into six modules: acquisition, kernel, feedback rule, patient feedback, operator user interface and persistent storage. The way in which these modules interact was defined by immutable software interfaces in a way that allows to completely substitute a module without the need to modify the others. RESULTS: Three Brain Computer Interface engines were developed with less than 40 lines of C++ code each. They can also be used under virtually any platform that supports an ANSI C++ compiler. CONCLUSION: A framework for the implementation of a wide range of CBF systems was developed. Compared to the other approaches that are described in the literature, the proposed one is the most efficient, the most protable across different platforms, the most generic and the one that allows the realization of the cheapest final systems.

PMID : 12695802 [PubMed - Indexed for MEDLINE]


This information is obtained from the National Library of Medicine (NLM). Abstract text and other information may be subject to copyright. Type "NLM copyright" into Google for more information.

Full Author Information

First NameLastNameInitials
LBianchiL
FBabiloniF
FCincottiF
SSalinariS
M GMarcianiMG

Affiliation: Dip. Neuroscienze, Universitą Tor Vergata, Rome, Italy. theboss@luigibianchi.com

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This article was linked to the MESH categories shown on the left below. The links on the right are related Memletics pages.

Category links from this article:

  • Cognition
  • Communication Aids for Disabled
  • Feedback
  • Humans
  • Programming Languages
  • Software Design
  • User-Computer Interface
   

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