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@INPROCEEDINGS{Schiek:127870,
      author       = {Schiek, Michael},
      title        = {{B}iosignals meet {A}pps – {F}uture application scenarios
                      and current obstacles},
      reportid     = {FZJ-2012-00819},
      isbn         = {0013-5585},
      pages        = {960},
      year         = {2012},
      comment      = {Biomedical Engineering/ Biomedizinische Technik},
      booktitle     = {Biomedical Engineering/
                       Biomedizinische Technik},
      abstract     = {Modern smartphones combine impressive computational power
                      and sensory capabilities with easy to use graphical user
                      interface, standardized wireless communication interfaces
                      and efficient energy management; they accompany the vast
                      majority of the industrial countries population during their
                      daily life activity and allow internet access almost
                      everywhere in these countries. Additionally most smartphones
                      allow the installation of third party applications which
                      already exist in a huge variety. Therefor smartphones seem
                      to be a natural choice for mobile access points of personal
                      healthcare and life style devices; already providing sensor
                      information about position, movement, acceleration, light,
                      acoustics, etc. by themselves they can fuse these data with
                      external sensor signals like ECG, blood pressure, EMG,
                      respiration, oxygen saturation, etc., apply sophisticated
                      artifact cancellation algorithms, extract context specific
                      information and transfer this information demand driven to
                      clinical experts. Additionally smartphones may store
                      relevant physiological information from normal daily life
                      and sports activity and serve as a huge data base to support
                      clinical diagnostics or rehabilitation strategies. While
                      smartphones already play an important role as a central
                      device to collect and analyze data from life style and
                      sports application there only exists very view applications
                      for clinical diagnostics or rehabilitation purposes. These
                      may be due to several challenges we still have to cope. In
                      the field of hardware real life 24/7 qualified sensors,
                      energy consumption, reliability and standardization are
                      still important fields of development. Also smartphone
                      software does not have to prove reliability on the same
                      level as normal medical devices. It is not clear whether
                      these future scenarios can be realized in the framework of
                      today’s formalities for medical devices. Another big issue
                      is the development of algorithms which are capable to deal
                      with data from sensors of different degree of reliability
                      and accuracy and which guarantee meaningful data fusion and
                      context aware information extraction.},
      month         = {Sep},
      date          = {2012-09-16},
      organization  = {Jahrestagung der Deutschen
                       Gesellschaft für Biomedizinische
                       Technik 2012, Jena (Germany), 16 Sep
                       2012 - 19 Sep 2012},
      cin          = {ZEL},
      cid          = {I:(DE-Juel1)ZEL-20090406},
      pnm          = {333 - Pathophysiological Mechanisms of Neurological and
                      Psychiatric Diseases (POF2-333)},
      pid          = {G:(DE-HGF)POF2-333},
      typ          = {PUB:(DE-HGF)8},
      url          = {https://juser.fz-juelich.de/record/127870},
}