“Medical Life Media” systems are characterised as systems for life-long personal record of all relevant medical parameters. Small, mobile sensors collect all kind of data and transmit it to a mobile phone via Bluetooth for analysis. In this thesis, the energy consumption was of particular interest. In this context an activity monitoring device using accelerometer data was developed. Feeding the detected physical activity back to the sensor enables the latter to detect potential activity changes without using the mobile phone's analysis algorithms. This leads to power saving as less transmission is needed, even without compromising the quality of the results. In addition two Bluetooth profiles, HDP and SPP, were compared and both energy consumption and influence of interference were analysed. Third, a reconfigurable operating system tick ("dynamic tick") was used to reduce energy consumption in idle mode.
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“Medical Life Media” systems are characterised as systems for life-long personal record of all relevant medical parameters. Small, mobile sensors collect all kind of data and transmit it to a mobile phone via Bluetooth for analysis. In this thesis, the energy consumption was of particular interest. In this context an activity monitoring device using accelerometer data was developed. Feeding the detected physical activity back to the sensor enables the latter to detect potential activity changes...
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