DocumentCode :
3061550
Title :
Assessment of sleep/wake patterns using a non-contact biomotion sensor
Author :
De Chazal, Philip ; Hare, Emer O. ; Fox, Niall ; Heneghan, Conor
Author_Institution :
BiancaMed, NovaUCD, University College Dublin, Belfield, Dublin 4, Ireland
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
514
Lastpage :
517
Abstract :
We evaluate a contact-less continuous measuring system measuring respiration and activity patterns system for identifying sleep/wake patterns in adult humans. The system is based on the use of a novel non-contact biomotion sensor, and an automated signal analysis and classification system. The sleep/wake detection algorithm combines information from respiratory frequency, magnitude, and movement to assign 30 s epochs to either wake or sleep. Comparison to a standard polysomnogram system utilizing manual sleep stage classification indicates excellent results. It has been validated on overnight studies from 12 subjects. Wake state was correctly identified 69% and sleep with 88%. Due to its ease-of-use and good performance, the device is an excellent tool for long term monitoring of sleep patterns in the home environment in an ultraconvenient fashion.
Keywords :
Alzheimer´s disease; Biomedical monitoring; Biosensors; Delay; Gold; Head; Medical treatment; Pharmaceuticals; Sleep; Tracking; Diagnosis, Computer-Assisted; Equipment Design; Equipment Failure Analysis; Humans; Motor Activity; Pattern Recognition, Automated; Polysomnography; Reproducibility of Results; Sensitivity and Specificity; Transducers; Wakefulness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4649203
Filename :
4649203
Link To Document :
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