Developing wearable bio-feedback systems: the BF++ framework approach

L. Bianchi, F. Babiloni, F. Cincotti, D. Mattia, M. G. Marciani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The development of wearable biofeedback (BF) systems could be a nontrivial task: very often to build small devices it is required to adopt a software and hardware platform that provides limited features. Their optimal use is a key factor to design a system that exploits performances adequate for the application. The Bio-Feedback framework (BF++) is an award winning C++ set of classes that were designed to scale from workstations to embedded systems by providing high efficiency in both performance and system resource consumption. The main design choices relative to this kind of application are described and a custom brain computer interface (BCI) wearable system is also described.

Original languageEnglish
Title of host publicationInternational IEEE/EMBS Conference on Neural Engineering, NER
PublisherIEEE Computer Society
Pages607-609
Number of pages3
Volume2003-January
ISBN (Print)0780375793
DOIs
Publication statusPublished - 2003
Event1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy
Duration: Mar 20 2003Mar 22 2003

Other

Other1st International IEEE EMBS Conference on Neural Engineering
CountryItaly
CityCapri Island
Period3/20/033/22/03

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Keywords

  • Application software
  • Brain computer interfaces
  • Computer architecture
  • Hardware
  • Humans
  • Laboratories
  • Neuroscience
  • Personal communication networks
  • Software systems
  • Workstations

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Bianchi, L., Babiloni, F., Cincotti, F., Mattia, D., & Marciani, M. G. (2003). Developing wearable bio-feedback systems: the BF++ framework approach. In International IEEE/EMBS Conference on Neural Engineering, NER (Vol. 2003-January, pp. 607-609). [1196901] IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196901