DynPeak : An algorithm for pulse detection and frequency analysis in hormonal time series
| Autor: | Frédérique Clément, Qinghua Zhang, Claire Médigue, Alexandre Vidal, Stéphane Fabre |
|---|---|
| Přispěvatelé: | Laboratoire Analyse et Probabilités, Université d'Évry-Val-d'Essonne (UEVE)-PRES Universud Paris-Fédération de Mathématiques d'Evry Val d'Essonne, SIgnals and SYstems in PHysiology & Engineering (SISYPHE), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Physiologie de la reproduction et des comportements [Nouzilly] (PRC), Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut Français du Cheval et de l'Equitation [Saumur]-Institut National de la Recherche Agronomique (INRA), This work is part of the large-scale initiative REGATE (REgulation of the GonAdoTropE axis): http://www.rocq.inria.fr/sisyphe/reglo/regate.html, Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Analyse et Probabilités (LAE), Université d'Évry-Val-d'Essonne (UEVE), Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur] (IFCE)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Vidal, Alexandre, Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Pituitary gland
Anatomy and Physiology reproduction animale Pulsatile flow Dynamical Systems (math.DS) Quantitative Biology - Quantitative Methods law.invention Follicle-stimulating hormone 0302 clinical medicine Endocrinology Sampling (signal processing) law Reproductive Physiology Mathematics - Dynamical Systems concentration plasmatique Quantitative Methods (q-bio.QM) Mathematics Feedback Physiological 0303 health sciences Multidisciplinary glande endocrine Pulse (signal processing) Systems Biology Applied Mathematics mathematical modeling Complex Systems hormone folliculo-stimulante medicine.anatomical_structure Amplitude Pituitary Gland Pulse detection Medicine Luteinizing hormone Algorithm algorithme Algorithms Autre (Sciences du Vivant) Research Article Science Interpulse Interval [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS] Time series analysis Endocrine System hormone lutéinique Models Biological 03 medical and health sciences Endocrine Glands FOS: Mathematics medicine Reproductive Endocrinology Biology Computerized Simulations 030304 developmental biology Frequency analysis Pulse frequency analyse temps fréquence Endocrine Physiology gnrh Reproductive System Computational Biology [SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology Neuroendocrinology Luteinizing Hormone [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Hormones Pituitary Nonlinear Dynamics FOS: Biological sciences Computer Science Peak detection algorithm Follicle Stimulating Hormone 030217 neurology & neurosurgery |
| Zdroj: | PLoS ONE PLoS ONE, Public Library of Science, 2012, 7 (7), pp.e39001. ⟨10.1371/journal.pone.0039001⟩ PLoS ONE, 2012, 7 (7), pp.e39001. ⟨10.1371/journal.pone.0039001⟩ Plos One 7 (7), 1-16. (2012) PLoS ONE, Vol 7, Iss 7, p e39001 (2012) |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0039001⟩ |
| Popis: | 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. Comment: Nombre de pages : 35 ; Nombre de figures : 16 ; Nombre de tableaux : 1 |
| Databáze: | OpenAIRE |
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