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Validation of national Actigraph for sleep evaluation

Grant number: 15/14325-4
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): April 01, 2016
Effective date (End): December 31, 2016
Field of knowledge:Health Sciences - Medicine
Principal Investigator:Alan Luiz Eckeli
Grantee:André Luís Tozzatto Volpe
Host Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

Sleep is a physiological behavioral state characterized by a progressive reduction in response to environmental stimuli. In order to study the sleep state some complementary exams, such as polysomnography and actigraphy, were developed. The actigraph consists of a watch equipped with an accelerometer, a microprocessor and an internal memory, and which is able to detect and store the movement data. The information stored in this device can be retrieved and analyzed by a specific software, which can show the patient´s activity. After that, the amount of activity can be related to sleep patterns (low activity) and wakefulness (high activity). Objective this study aims to validate the actigraph Condor Instruments Ltd, Copyright © 2013, software versão Actstudio beta 2014, comparing the data from this instrument versus the data from a polysomnography in a sleep laboratory. Methods: two different populations will be evaluated. The first group will consist of patients in evaluation for sleep disordered of breathing. The second group will consist of normal subjects, recruited from the population by local press release. All subjects will be evaluated by a neurologist/sleep medicine expert. Methods: the overnight polysomnography will be collect by a Biologic polygraph and analyzed by Sleep Scan software. The sleep parameters for collection and analysis of American Academy of Sleep Medicine will be followed. The actigraphs will be provided by Condor Instruments Ltd., Copyright © 2013, São Paulo, SP, Brazil. In order to analyze the data from actigraph, three techniques will be used: Zero Crossing Mode (ZCM), Proportional Integration Mode (PIM) and Time Above Threshold (TAT).Statistical analysis: the actigraph data will be compared with polysomnography epoch by epoch. In relation to sleep phase, the following parameters will be assessed: sensitivity, specificity, predictive value of sleep, predictive value of wake and concordance analysis.

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