Verification of Computerized Sleep-wake Analysis in Sleep Disorders
NCT ID: NCT02412527
Last Updated: 2015-04-09
Study Results
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Basic Information
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UNKNOWN
330 participants
OBSERVATIONAL
2015-04-30
Brief Summary
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1. Compare the accuracy of computerized sleep-wake analysis with current sleep quality indicators: through actigraphy and heart rate sensors, compare the computerized sleep-wake analysis program with polysomnography, and verify its clinical reliability and validity in sleep disorder patients.
2. Establish the sleep posture detection system: through three-axis accelerometer, develop algorithms for position recording and monitoring during sleep, and upgrade its accuracy according to photography.
Methods: Patients ranged from age 20-50 with primary insomnia, periodic limb movement in sleep, simple snores, and obstructive sleep apnea will be enrolled in our study. Routine polysomnography will be applied in sleep center at Chang Gung Memorial Hospital, Taoyuan, as well as sleep-related questionnaires. At the same time, actigraphy and heart rate sensor patch will be used for sleep posture detection and further computerized sleep-wake analysis. Results will be verified the consistency by comparison with sleep-wake analysis from polysomnographic data and sleep-related questionnaires.
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Primary insomnia
Primary insomnia patients, without combined any other sleep disorders
Patch III heart rate sensor
Periodic limb movement in sleep
Patients have periodic limb movement in sleep, without combined any other sleep disorders
Patch III heart rate sensor
Simple snores
Simple snore patients, without combined any other sleep disorders
Patch III heart rate sensor
Obstructive sleep apnea
Obstructive sleep apnea patients, including mild, moderate and severe types, without combined any other sleep disorders or CPAP treatment during PSG study
Patch III heart rate sensor
Interventions
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Patch III heart rate sensor
Eligibility Criteria
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Inclusion Criteria
* diagnosed as primary insomnia, periodic limb movement in sleep, simple snores, and obstructive sleep apnea
Exclusion Criteria
* sleep efficiency\<50%
* combined other sleep disorders
20 Years
50 Years
ALL
No
Sponsors
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National Yang Ming Chiao Tung University
OTHER
Chang Gung Memorial Hospital
OTHER
Responsible Party
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Geng-Hao Liu
Attending physician
Central Contacts
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References
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Kuo TB, Yang CC. Frequency domain analysis of electrooculogram and its correlation with cardiac sympathetic function. Exp Neurol. 2009 May;217(1):38-45. doi: 10.1016/j.expneurol.2009.01.012. Epub 2009 Jan 31.
Kuo TB, Chen CY, Hsu YC, Yang CC. Performance of the frequency domain indices with respect to sleep staging. Clin Neurophysiol. 2012 Jul;123(7):1338-45. doi: 10.1016/j.clinph.2011.11.003. Epub 2011 Dec 5.
Sadeh A. The role and validity of actigraphy in sleep medicine: an update. Sleep Med Rev. 2011 Aug;15(4):259-67. doi: 10.1016/j.smrv.2010.10.001. Epub 2011 Jan 14.
Lindemann U, Hock A, Stuber M, Keck W, Becker C. Evaluation of a fall detector based on accelerometers: a pilot study. Med Biol Eng Comput. 2005 Sep;43(5):548-51. doi: 10.1007/BF02351026.
Paquet J, Kawinska A, Carrier J. Wake detection capacity of actigraphy during sleep. Sleep. 2007 Oct;30(10):1362-9. doi: 10.1093/sleep/30.10.1362.
Cole RJ, Kripke DF, Gruen W, Mullaney DJ, Gillin JC. Automatic sleep/wake identification from wrist activity. Sleep. 1992 Oct;15(5):461-9. doi: 10.1093/sleep/15.5.461.
Tryon WW. Issues of validity in actigraphic sleep assessment. Sleep. 2004 Feb 1;27(1):158-65. doi: 10.1093/sleep/27.1.158.
Hedner J, Pillar G, Pittman SD, Zou D, Grote L, White DP. A novel adaptive wrist actigraphy algorithm for sleep-wake assessment in sleep apnea patients. Sleep. 2004 Dec 15;27(8):1560-6. doi: 10.1093/sleep/27.8.1560.
Murayama R, Kubota T, Kogure T, Aoki K. The effects of instruction regarding sleep posture on the postural changes and sleep quality among middle-aged and elderly men: a preliminary study. Biosci Trends. 2011;5(3):111-9. doi: 10.5582/bst.2011.v5.3.111.
Wrzus C, Brandmaier AM, von Oertzen T, Muller V, Wagner GG, Riediger M. A new approach for assessing sleep duration and postures from ambulatory accelerometry. PLoS One. 2012;7(10):e48089. doi: 10.1371/journal.pone.0048089. Epub 2012 Oct 24.
Bignold JJ, Mercer JD, Antic NA, McEvoy RD, Catcheside PG. Accurate position monitoring and improved supine-dependent obstructive sleep apnea with a new position recording and supine avoidance device. J Clin Sleep Med. 2011 Aug 15;7(4):376-83. doi: 10.5664/JCSM.1194.
de Souza L, Benedito-Silva AA, Pires ML, Poyares D, Tufik S, Calil HM. Further validation of actigraphy for sleep studies. Sleep. 2003 Feb 1;26(1):81-5. doi: 10.1093/sleep/26.1.81.
Silber MH, Ancoli-Israel S, Bonnet MH, Chokroverty S, Grigg-Damberger MM, Hirshkowitz M, Kapen S, Keenan SA, Kryger MH, Penzel T, Pressman MR, Iber C. The visual scoring of sleep in adults. J Clin Sleep Med. 2007 Mar 15;3(2):121-31.
Ahlberg K, Savolainen A, Paju S, Hublin C, Partinen M, Kononen M, Ahlberg J. Bruxism and sleep efficiency measured at home with wireless devices. J Oral Rehabil. 2008 Aug;35(8):567-71. doi: 10.1111/j.1365-2842.2008.01875.x. Epub 2008 May 9.
Other Identifiers
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103-5603B
Identifier Type: -
Identifier Source: org_study_id
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