Title
Sleep staging based on signals acquired through bed sensor
Abstract
We describe a system for the evaluation of the sleep macrostructure on the basis of Emfit sensor foils placed into bed mattress and of advanced signal processing. The signals on which the analysis is based are heart-beat interval (HBI) and movement activity obtained from the bed sensor, the relevant features and parameters obtained through a time-variant autoregressive model (TVAM) used as feature extractor, and the classification obtained through a hidden Markov model (HMM). Parameters coming from the joint probability of the HBI features were used as input to a HMM, while movement features are used for wake period detection. A total of 18 recordings from healthy subjects, including also reference polysomnography, were used for the validation of the system. When compared to wake-nonrapid-eye-movement (NREM)-REM classification provided by experts, the described system achieved a total accuracy of 79 ± 9% and a kappa index of 0.43 ± 0.17 with only two HBI features and one movement parameter, and a total accuracy of 79 ± 10% and a kappa index of 0.44 ± 0.19 with three HBI features and one movement parameter. These results suggest that the combination of HBI and movement features could be a suitable alternative for sleep staging with the advantage of low cost and simplicity.
Year
DOI
Venue
2010
10.1109/TITB.2010.2044797
IEEE Transactions on Information Technology in Biomedicine
Keywords
Field
DocType
markov chains,hidden markov models,electroencephalography,signal analysis,eye movement,hidden markov model,joint probability,signal processing,biosensors,autoregressive model,sleep,feature extraction,neurophysiology,fourier analysis,movement
Data mining,Signal processing,Computer science,Artificial intelligence,Polysomnography,Autoregressive model,Kappa,Joint probability distribution,Pattern recognition,Non-rapid eye movement sleep,Feature extraction,Speech recognition,Hidden Markov model
Journal
Volume
Issue
ISSN
14
3
1089-7771
Citations 
PageRank 
References 
43
4.74
2
Authors
5
Name
Order
Citations
PageRank
Juha M. Kortelainen1455.57
Martin O Mendez212319.21
Anna Maria Bianchi311915.44
Matteo Matteucci464180.97
Sergio Cerutti512921.96