Overview of smartphone applications for sleep analysis

World Journal of Otorhinolaryngology - Head and Neck Surgery

Volumn 2, Issue 1, 2016, Pages 45-49

  Ong, Adrian A ^a   Gillespie, M Boyd ^a  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Actigraphy; Apps; Mobile applications; Sleep monitor; Smartphone

Indexed keywords

ALGORITHM; COMPUTER ANALYSIS; COMPUTER PROGRAM; COST EFFECTIVENESS ANALYSIS; HUMAN; MOBILE APPLICATION; PATIENT COUNSELING; REM SLEEP; REVIEW; SLEEP DISORDER; SLEEP PARAMETERS; SLEEP PATTERN; SLEEP QUALITY; SMARTPHONE;

EID: 85010291948     PISSN: 20958811     EISSN: 25891081     Source Type: Journal    
DOI: 10.1016/j.wjorl.2016.02.001     Document Type: Review

References (22)

1. AppBrain. Number of Android applications. Available at: . Accessed 18.06.15. http://www.appbrain.com/stats/number-of-android-apps.
2. Inc Apple Worldwide Developers Conference 2014, Available at:, Accessed 18.06.15. http://www.apple.com/apple-events/june-2014/.
3. Research 2 Guidance mHealth App Developer Economics 2014 2014.
4. Laing B.Y., Mangione C.M., Tseng C.H., et al. Effectiveness of a smartphone application for weight loss compared with usual care in overweight primary care patients: a randomized, controlled trial. Ann Intern Med 2014, 161:S5-S12.
5. Marcano Belisario J.S., Huckvale K., Greenfield G., Car J., Gunn L.H. Smartphone and tablet self management apps for asthma. Cochrane Database Syst Rev 2013, 11:Cd010013.
6. Nakano H., Hirayama K., Sadamitsu Y., et al. Monitoring sound to quantify snoring and sleep apnea severity using a smartphone: proof of concept. J Clin Sleep Med 2014, 10:73-78.
7. Jonathan E., Leahy M. Investigating a smartphone imaging unit for photoplethysmography. Physiol Meas 2010, 31:N79-N83.
8. Jonathan E., Leahy M.J. Cellular phone-based photoplethysmographic imaging. J Biophotonics 2011, 4:293-296.
9. The Health Data Initiative Forum. Available at: . Accessed 07.05.15. http://iom.nationalacademies.org/Activities/PublicHealth/HealthData/2011-JUN-09/Morning-Session/Presentations/Challenge.aspx.
10. Mosa A.S., Yoo I., Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak 2012, 12:67.
11. Blackwell T., Redline S., Ancoli-Israel S., et al. Comparison of sleep parameters from actigraphy and polysomnography in older women: the SOF study. Sleep 2008, 31:283-291.
12. Bhat S., Ferraris A., Gupta D., et al. Is there a clinical role for smartphone seep apps? Comparison of sleep cycle detection by a smartphone application to polysomnography. J Clin Sleep Med 2015, 11:709-715.
13. Martin J.L., Hakim A.D. Wrist actigraphy. Chest 2011, 139:1514-1527.
14. Paquet J., Kawinska A., Carrier J. Wake detection capacity of actigraphy during sleep. Sleep 2007, 30:1362-1369.
15. Van den Bulck J. Sleep apps and the quantified self: blessing or curse?. J Sleep Res 2015, 24:121-123.
16. Marino M., Li Y., Rueschman M.N., et al. Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography. Sleep 2013, 36:1747-1755.
17. Kelly J.M., Strecker R.E., Bianchi M.T. Recent developments in home sleep-monitoring devices. ISRN Neurol 2012, 2012.
18. Endeshaw Y., Rice T.B., Schwartz A.V., et al. Snoring, daytime sleepiness, and incident cardiovascular disease in the health, aging, and body composition study. Sleep 2013, 36:1737-1745.
19. Stippig A., Hubers U., Emerich M. Apps in sleep medicine. Sleep Breath 2015, 19:411-417.
20. Carney C.E., Buysse D.J., Ancoli-Israel S., et al. The consensus sleep diary: standardizing prospective sleep self-monitoring. Sleep 2012, 35:287-302.
21. Carter M.C., Burley V.J., Nykjaer C., Cade J.E. Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. J Med Internet Res 2013, 15:e32.
22. Montgomery-Downs H.E., Insana S.P., Bond J.A. Movement toward a novel activity monitoring device. Sleep Breath 2012, 16:913-917.