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CRNTC+ : A smartphone-based sensor processing framework for prototyping personal healthcare applications

  • G. Spina
  • , F.J.M. Roberts
  • , J. Weppner
  • , P. Lukowicz
  • , O.D. Amft

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

While smartphone apps for health monitoring and patient support are of great interest to care providers and patients alike, suitable development and evaluation frameworks are currently lacking. We present and evaluate an Android open-source smartphone framework CRNTC+ for sensors data acquisition, signal processing, pattern analysis, interaction and feedback, based on the Context Recognition Network Toolbox (CRNT). CRNTC+ extends the original CRNT by providing components to read smartphone and external sensor data, supporting annotations, and various output components. Here, we formally evaluate CRNTC+ regarding extensibility, scalability, and energy consumption. We present study results where CRNTC+ was deployed in an application to detect epileptic seizures. Results showed that CRNTC+ is well-suited for prototyping health applications in real-life, where online sensor data recording and recognition is needed.
Original languageEnglish
Title of host publicationProceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 5-8 May 2013, Venice, Italy
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages252-255
ISBN (Print)978-1-936968-80-0
Publication statusPublished - 2013
Event7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2013) - Venice, Italy
Duration: 5 May 20138 May 2013
http://pervasivehealth.org/2013/show/home

Conference

Conference7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2013)
Abbreviated titlePervasiveHealth 2013
Country/TerritoryItaly
CityVenice
Period5/05/138/05/13
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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