Title
Signal Processing And Feature Extraction For Sleep Evaluation In Wearable Devices
Abstract
In this paper we discuss the possibility of performing a sleep evaluation form the heart rate variability (HRV) and respiratory signals. This is particularly useful for wearable devices. The HRV and the respiration were analyzed in the frequency domain and the statistics on the spectral and cross-spectral parameters put into evidence the possibility of a sleep evaluation on their basis. Additional information can be achieved from the number of microarousals recognized in correspondence of typical modifications in the HRV signal.
Year
DOI
Venue
2006
10.1109/IEMBS.2006.260547
2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15
Keywords
DocType
Volume
sleep,heart rate variability,wearable devices,neurophysiology,frequency domain,cardiology,statistical analysis,feature extraction,frequency domain analysis,signal processing
Conference
1
ISSN
Citations 
PageRank 
1557-170X
2
0.48
References 
Authors
0
4
Name
Order
Citations
PageRank
Anna Maria Bianchi111915.44
Omar P Villantieri220.48
Martin O Mendez320.48
Sergio Cerutti420.48