In this paper a definition of the
(ACT) variable is proposed and a method to estimate it from the noisy
output sensor data is described. A statistical model for the
data generation process is suggested based on its working physical principles and on physiological considerations about human activity. The
nature of the sleeping movements is used to discriminate the
The estimated ACT signal from the
output signal is correlated with the data from a
to validate the SW oscillations, computed from the ACT. A
Sleep electronic Diary
(SeD) was implemented in the scope of this work to make it possible an accurate register of the patient activities relevant for the diagnosis of sleep disorders.
Examples using real data, illustrating the application of the method, have shown high correlation between the output of the proposed algorithm that characterizes the
and the data registered in the SeD.