DynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.

The endocrine control of the reproductive function is often studied from the analysis of luteinizing hormone (LH) pulsatile secretion by the pituitary gland. Whereas measurements in the cavernous sinus cumulate anatomical and technical difficulties, LH levels can be easily assessed from jugular bloo...

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Autores principales:	Alexandre Vidal, Qinghua Zhang, Claire Médigue, Stéphane Fabre, Frédérique Clément
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/71783949222a4eec9c21c7ae28518ff9
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spelling	oai:doaj.org-article:71783949222a4eec9c21c7ae28518ff92021-11-18T07:13:29ZDynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.1932-620310.1371/journal.pone.0039001https://doaj.org/article/71783949222a4eec9c21c7ae28518ff92012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22802933/?tool=EBIhttps://doaj.org/toc/1932-6203The endocrine control of the reproductive function is often studied from the analysis of luteinizing hormone (LH) pulsatile secretion by the pituitary gland. Whereas measurements in the cavernous sinus cumulate anatomical and technical difficulties, LH levels can be easily assessed from jugular blood. However, plasma levels result from a convolution process due to clearance effects when LH enters the general circulation. Simultaneous measurements comparing LH levels in the cavernous sinus and jugular blood have revealed clear differences in the pulse shape, the amplitude and the baseline. Besides, experimental sampling occurs at a relatively low frequency (typically every 10 min) with respect to LH highest frequency release (one pulse per hour) and the resulting LH measurements are noised by both experimental and assay errors. As a result, the pattern of plasma LH may be not so clearly pulsatile. Yet, reliable information on the InterPulse Intervals (IPI) is a prerequisite to study precisely the steroid feedback exerted on the pituitary level. Hence, there is a real need for robust IPI detection algorithms. In this article, we present an algorithm for the monitoring of LH pulse frequency, basing ourselves both on the available endocrinological knowledge on LH pulse (shape and duration with respect to the frequency regime) and synthetic LH data generated by a simple model. We make use of synthetic data to make clear some basic notions underlying our algorithmic choices. We focus on explaining how the process of sampling affects drastically the original pattern of secretion, and especially the amplitude of the detectable pulses. We then describe the algorithm in details and perform it on different sets of both synthetic and experimental LH time series. We further comment on how to diagnose possible outliers from the series of IPIs which is the main output of the algorithm.Alexandre VidalQinghua ZhangClaire MédigueStéphane FabreFrédérique ClémentPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e39001 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alexandre Vidal Qinghua Zhang Claire Médigue Stéphane Fabre Frédérique Clément DynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.
description	The endocrine control of the reproductive function is often studied from the analysis of luteinizing hormone (LH) pulsatile secretion by the pituitary gland. Whereas measurements in the cavernous sinus cumulate anatomical and technical difficulties, LH levels can be easily assessed from jugular blood. However, plasma levels result from a convolution process due to clearance effects when LH enters the general circulation. Simultaneous measurements comparing LH levels in the cavernous sinus and jugular blood have revealed clear differences in the pulse shape, the amplitude and the baseline. Besides, experimental sampling occurs at a relatively low frequency (typically every 10 min) with respect to LH highest frequency release (one pulse per hour) and the resulting LH measurements are noised by both experimental and assay errors. As a result, the pattern of plasma LH may be not so clearly pulsatile. Yet, reliable information on the InterPulse Intervals (IPI) is a prerequisite to study precisely the steroid feedback exerted on the pituitary level. Hence, there is a real need for robust IPI detection algorithms. In this article, we present an algorithm for the monitoring of LH pulse frequency, basing ourselves both on the available endocrinological knowledge on LH pulse (shape and duration with respect to the frequency regime) and synthetic LH data generated by a simple model. We make use of synthetic data to make clear some basic notions underlying our algorithmic choices. We focus on explaining how the process of sampling affects drastically the original pattern of secretion, and especially the amplitude of the detectable pulses. We then describe the algorithm in details and perform it on different sets of both synthetic and experimental LH time series. We further comment on how to diagnose possible outliers from the series of IPIs which is the main output of the algorithm.
format	article
author	Alexandre Vidal Qinghua Zhang Claire Médigue Stéphane Fabre Frédérique Clément
author_facet	Alexandre Vidal Qinghua Zhang Claire Médigue Stéphane Fabre Frédérique Clément
author_sort	Alexandre Vidal
title	DynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.
title_short	DynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.
title_full	DynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.
title_fullStr	DynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.
title_full_unstemmed	DynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.
title_sort	dynpeak: an algorithm for pulse detection and frequency analysis in hormonal time series.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/71783949222a4eec9c21c7ae28518ff9
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DynPeak: an algorithm for pulse detection and frequency analysis in hormonal time series.

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