About: HEAD POSITION SENSING USING MEMS ACCELEROMETERS     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Presented paper deals with description of a device intended for use in patients head position monitoring after vitreoretinal surgery. Keeping the head in an optimum position is crucial for the whole recovery process to proceed well. A design utilizing modern MEMS acceleration sensors and a powerful RISC microcontroller was created. Application of high-level programming language made the whole development process as effective as possible. The main effort led to a compact battery-powered device capable of warning the patient in case of wrong head position.
  • Presented paper deals with description of a device intended for use in patients head position monitoring after vitreoretinal surgery. Keeping the head in an optimum position is crucial for the whole recovery process to proceed well. A design utilizing modern MEMS acceleration sensors and a powerful RISC microcontroller was created. Application of high-level programming language made the whole development process as effective as possible. The main effort led to a compact battery-powered device capable of warning the patient in case of wrong head position. (en)
  • Presented paper deals with description of a device intended for use in patients head position monitoring after vitreoretinal surgery. Keeping the head in an optimum position is crucial for the whole recovery process to proceed well. A design utilizing modern MEMS acceleration sensors and a powerful RISC microcontroller was created. Application of high-level programming language made the whole development process as effective as possible. The main effort led to a compact battery-powered device capable of warning the patient in case of wrong head position. (cs)
Title
  • HEAD POSITION SENSING USING MEMS ACCELEROMETERS
  • HEAD POSITION SENSING USING MEMS ACCELEROMETERS (en)
  • HEAD POSITION SENSING USING MEMS ACCELEROMETERS (cs)
skos:prefLabel
  • HEAD POSITION SENSING USING MEMS ACCELEROMETERS
  • HEAD POSITION SENSING USING MEMS ACCELEROMETERS (en)
  • HEAD POSITION SENSING USING MEMS ACCELEROMETERS (cs)
skos:notation
  • RIV/00216305:26220/07:PU68823!RIV08-MSM-26220___
http://linked.open.../vavai/riv/strany
  • 23-25
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 423875
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU68823
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • MEMS, RISC microcontroller, ATMega16, ADXL203 (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [03917038D36C]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 13th Conference STUDENT EEICT 2007
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dlouhý, Jiří
  • Rozman, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-214-3408-0
http://localhost/t...ganizacniJednotka
  • 26220
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software