DocumentCode
1310136
Title
ML Period Estimation With Application to Vital Sign Monitoring
Author
Conte, Ermanna ; Filippi, Alessio ; Tomasin, Stefano
Author_Institution
Univ. of Padova, Padova, Italy
Volume
17
Issue
11
fYear
2010
Firstpage
905
Lastpage
908
Abstract
The real time estimation of the period of signals that are periodic over short time intervals requires fast algorithms. In this letter, the maximum likelihood (ML) period estimator is derived for a periodic signal with additive white Gaussian noise. A low complexity approximation is then proposed, and compared with the state of the art of the estimation techniques in a practical scenario for the remote estimation of human heart rate using an ultra wide band radar.
Keywords
AWGN; maximum likelihood estimation; medical signal processing; ML period estimation; additive white Gaussian noise; human heart rate; remote estimation; ultrawideband radar; vital sign monitoring; Complexity theory; Correlation; Heart rate; Maximum likelihood estimation; Noise; Radar; Bioinformatics; biomedical signal processing; estimation and classification theory and methods; including genomics; statistical signal processing;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2010.2071382
Filename
5560736
Link To Document