Utilising wireless sensor networks towards establishing a method of sleep profiling
by Andrew McDowell; Mark P. Donnelly; Chris D. Nugent; Michael J. McGrath
International Journal of Computers in Healthcare (IJCIH), Vol. 1, No. 4, 2012

Abstract: Based upon current sleep actigraphy techniques, this paper discusses an alternative non-contact method of sleep profiling that is potentially more suitable for long term monitoring than current clinically approved techniques. The passive sleep actigraphy (PSA) platform presented here utilises strategically positioned accelerometers fixed on a mattress to quantify the recorded movements of a bed occupant. In this work, data captured from a young control group is decomposed into gravitational and inertial components. These components are then translated into activity counts using numerous quantification modalities and feature extraction techniques to isolate the most discriminant attributes for optimal sleep/wake classification. These attributes were then input into a random forest classifier to determine the sleep/wake state of each subject based on their recoded actigraphy data with an accuracy of 89%. The findings suggest that the PSA platform is a potentially viable method of non-contact sleep profiling hence supporting further research into this approach.

Online publication date: Thu, 30-Oct-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computers in Healthcare (IJCIH):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com