Title :
Non-stationarity of body area networks for sleep monitoring
Author :
Chaganti, Vasanta ; Hanlen, Leif ; Smith, D.
Author_Institution :
NICTA, Canberra, ACT, Australia
Abstract :
The stationarity of the body area network (BAN) channel when the subject is sleeping is examined. The authors question the validity of first- and second-order distribution fits to BAN channel gain. Wide sense stationarity tests have an upper bound at 70% probability for a maximum data length of 5 s. For data lengths greater than 5 s, the probability of stationarity rapidly diminishes. It is shown that the BAN channel is inherently non-stationary, and independent of the subject, sensor location and activity.
Keywords :
biomedical telemetry; body area networks; body sensor networks; patient monitoring; probability; sleep; BAN; body area networks; channel gain; data lengths; first-order distribution; second-order distribution; sleep monitoring; stationarity;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2013.1511
