guest ::
| Home > Publications database > Biosignals meet Apps – Future application scenarios and current obstacles |
| Home > Publications database > Biosignals meet Apps – Future application scenarios and current obstacles |
| Contribution to a conference proceedings | FZJ-2012-00819 |
2012
ISBN: 0013-5585
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.
|
The record appears in these collections: |