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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT02412527
Other study ID # 103-5603B
Secondary ID
Status Not yet recruiting
Phase N/A
First received April 1, 2015
Last updated April 6, 2015
Start date April 2015

Study information

Verified date April 2015
Source Chang Gung Memorial Hospital
Contact Geng-Hao Liu
Phone +886-3-3196200
Email wisdomhao@gmail.com
Is FDA regulated No
Health authority Taiwan: Institutional Review Board
Study type Observational

Clinical Trial Summary

Objective: Computerized sleep staging has been verified in a normal population. This study attempts to investigate and verify the interpretation of this computerized sleep staging program in patients with sleep disorders, and improve the accuracy of actigraphy algorithm for sleep duration and postures.

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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 330
Est. completion date
Est. primary completion date April 2016
Accepts healthy volunteers No
Gender Both
Age group 20 Years to 50 Years
Eligibility Inclusion Criteria:

- age 20-50

- diagnosed as primary insomnia, periodic limb movement in sleep, simple snores, and obstructive sleep apnea

Exclusion Criteria:

- arrhythmia

- sleep efficiency<50%

- combined other sleep disorders

Study Design

Observational Model: Case-Only, Time Perspective: Prospective


Related Conditions & MeSH terms


Intervention

Other:
Patch III heart rate sensor


Locations

Country Name City State
n/a

Sponsors (2)

Lead Sponsor Collaborator
Chang Gung Memorial Hospital National Yang Ming University

References & Publications (15)

Ahlberg K, Savolainen A, Paju S, Hublin C, Partinen M, Könönen 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. — View Citation

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: 10.566 — View Citation

Cole RJ, Kripke DF, Gruen W, Mullaney DJ, Gillin JC. Automatic sleep/wake identification from wrist activity. Sleep. 1992 Oct;15(5):461-9. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Paquet J, Kawinska A, Carrier J. Wake detection capacity of actigraphy during sleep. Sleep. 2007 Oct;30(10):1362-9. — View Citation

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. Review. — View Citation

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. Review. Erratum in: J — View Citation

Tryon WW. Issues of validity in actigraphic sleep assessment. Sleep. 2004 Feb 1;27(1):158-65. — View Citation

Wrzus C, Brandmaier AM, von Oertzen T, Müller 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. — View Citation

Yang CC, Lai CW, Lai HY, Kuo TB. Relationship between electroencephalogram slow-wave magnitude and heart rate variability during sleep in humans. Neurosci Lett. 2002 Aug 30;329(2):213-6. — View Citation

* Note: There are 15 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Electrocardiogram and body position signals Computerized sleep-wake analysis from electrocardiogram and body position signals from Patch III heart rate sensor, and calibrated the sleep staging with AASM sleep scoring reports. Data recruited during one-night (PSG study) from Patch III heart rate sensor No