NDLI: Characterization of activity epochs in actimetric registries for infantile colic diagnosis: Identification and feature extraction based on wavelets and symbolic dynamics

Content Provider	IEEE Xplore Digital Library
Author	Martín-Martínez, D. Casaseca-de-la-Higuera, P. Vegas-Sánchez-Ferrero, G. Cordero-Grande, L. Andrés-de-Llano, J.M. Garmendia-Leiza, J.R. Ardura-Fernández, J.
Copyright Year	2010
Description	Author affiliation: Laboratory of Image Processing (LPI), E.T.S. Ingenieros de Telecomunicación, University of Valladolid, 47011, Spain (Martín-Martínez, D.; Casaseca-de-la-Higuera, P.; Vegas-Sánchez-Ferrero, G.; Cordero-Grande, L.) \|\| Chronobiology Group, Faculty of Medicine, University of Valladolid, 47005, Spain (Andrés-de-Llano, J.M.; Garmendia-Leiza, J.R.; Ardura-Fernández, J.)
Abstract	The diagnosis and therapy planning of high prevalence pathologies such as infantile colic can be substantially improved by statistical signal processing of activity/rest registries. Assuming that colic episodes are associated to activity episodes, diagnosis aid systems should be based on preprocessing techniques able to separate real activity from rest epochs, and feature extraction methods to identify meaningful indices with diagnostic capabilities. In this paper, we propose a two step diagnosis aid methodology for infantile colic in children below 3 months old. Identification of activity periods is performed by means of a wavelet based activity filter which does not depend on the acquisition device (as so far proposed methods do). In addition, symbolic dynamic analysis is used for extraction of discriminative indices from the activity time series. Results on real data yielded 100% sensitivity and 80% specificity in a study group composed of 46 cases and 10 control subjects.
Starting Page	2383
Ending Page	2386
File Size	290364
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627206
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pediatrics Entropy Time series analysis Probability Sleep Signal processing Complexity theory wavelet Actimetry activity/rest analysis symbolic dynamics
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Health Informatics Signal Processing Biomedical Engineering

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