Paper Info
Title
Time-structure based reconstruction of physiological independent sources extracted from noisy abdominal phonograms.
Abstract
The abdominal phonogram is a signal recorded by a sensitive acoustic sensor positioned on the maternal womb. The signal conveys information that is valuable for fetal surveillance (e.g., heart sounds), but hidden by maternal and environmental noises. To recover such information, earlier work successfully used single-channel independent component analysis (SCICA) to decompose the phonogram into independent components (ICs). After that, knowing that some ICs belong to the same process, similar ICs were grouped using K -means through similarities in their spectral content, a step that misclassified some fetal and maternal ICs, and consequently, distorted the recovered sources and made them virtually useless for studying fetal condition. Here, the rich time structure of the physiological components underlying the abdominal phonogram is exploited to automatically classify similar components and retrieve the independent sources corresponding to maternal activity (respiration and cardiovascular), fetal heart sounds, and noise. To do so, a periodicity-based analysis scheme is proposed and tested on a dataset composed of 750 ICs extracted by SCICA from segments of 25 single-channel phonograms recorded at fetal gestational ages between 29 and 40 weeks. Based on autocorrelation and power spectral density analysis, this scheme not only manages to quickly and automatically group similar ICs, but also correlates the recovered sources with specific physiological phenomena (either maternal or fetal), which is a further advantage. Further research will be conducted on more phonograms and explore alternatives for dimensional reduction and reconstruction of entire time series suitable for surveillance, not only for fetal well-being, but also for maternal condition.
Year
DOI
Venue
2010
10.1109/TBME.2010.2051226
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
biomedical ultrasonics,independent component analysis,medical signal processing,obstetrics,patient diagnosis,patient monitoring,physiology,signal denoising,signal reconstruction,time series,SCICA,cardiovascular activity,dimensional reduction,fetal heart sounds,fetal surveillance,maternal activity,maternal womb,noisy abdominal phonograms,periodicity-based analysis,physiological independent sources,respiration,sensitive acoustic sensor,single-channel independent component analysis,time-structure based reconstruction,Autocorrelation analysis,biological rhythms,fetal heart sounds,fetal well-being monitoring,periodicity,single-channel independent component analysis (SCICA),time-series analysis
Noise,Remote patient monitoring,Computer science,Speech recognition,Spectral density,Independent component analysis,Signal reconstruction,Phonogram,Autocorrelation,Heart sounds
Journal
Volume
Issue
ISSN
57
9
1558-2531
Citations 
PageRank 
References 
3
0.43
13
Authors
2
Name
Order
Citations
PageRank
Aída Jiménez-González130.43
Christopher J. James220621.93