Non-Stationarity of Body Area Networks for Sleep Monitoring

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Chaganti, Vasanta; Hanlen, Leif; Smith, David


2013-06-25


Journal Article


IET Electronic Letters


49


15


927-929


We present experimental characterization of the BAN channel when the subject is sleeping. We examine the stationarity of the sleeping channel and question the validity of applying distribution fits to the first and second-order statistics of the BAN channel gain. Hypothesis tests on Wide Sense Stationarity show the sleeping channel to have a maximum probability of $(60\%)$ stationarity within $5$\Units{seconds} which rapidly diminishes to below $(40\%)$ for a period of $10$\Units{seconds}. We show that despite the tendency of the channel gain to appear `steady' the sleeping channel is highly non-stationary.


Body Area Networks, Fading, Statistical Distributions, Narrowband


https://doi.org/10.1049/el.2013.1511


English


nicta:7022


Chaganti, Vasanta; Hanlen, Leif; Smith, David. Non-Stationarity of Body Area Networks for Sleep Monitoring. IET Electronic Letters. 2013-06-25; 49(15):927-929. <a href="https://doi.org/10.1049/el.2013.1511" target="_blank">https://doi.org/10.1049/el.2013.1511</a>



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