List of scientific papers validating accuracy of SleepScore by ResMed technology and algorithms
All scientific references below are based on SleepScore by ResMed sleep measurement algorithms.
Note: S+ by ResMed, SleepScore Max, SleepScore App, non-contact biomotion sensor, and radio-frequency biomotion sensors all utilize SleepScore by ResMed technology.
Scientific studies of sonar sensor technology for sleep improvement
- Sleep Staging Monitoring Based on Sonar Smartphone Technology
Zaffaroni 2019 EMBC 2019
Scientific studies of radio frequency technology for sleep measurement
- Sleep Validity of a Non-Contact Bedside Movement and Respiration-Sensing Device
M.M Schade, C.E. Bauer, B. R. Murray, L. Gahan, E. P. Doheny, H. Kilroy, A. Zaffaroni, H.E. Montgomery-Downs. SLEEP, 2017
- A pilot study of nocturnal respiration rates in COPD patients in the home environment using a non-contact biomotion sensor
T. Ballal, C. Heneghan, A. Zaffaroni, P. Boyle, P. de Chazal, R. Shouldice, W. McNicholas, S. Donnelly. Physiological Measurement, 2014
- Automated sleep staging classification using a non-contact biomotion sensor
A. Zaffaroni, L. Gahan, L. Collins, E. O’Hare, C. Heneghan, C. Garcia, I. Fietze, T. Penzel.
Journal of Sleep Research, 2014
- A comparison of radio-frequency biomotion sensors and actigraphy versus polysomnography for the assessment of sleep in normal subjects
E. O’Hare, D. Flanagan, T. Penzel, C. Garcia, D. Frohberg, C. Heneghan.
Sleep and Breathing, 2014
- Comparison of a novel non-contact biomotion sensor with wrist actigraphy in estimating sleep quality in patients with obstructive sleep apnoea
M. Pallin, E. O’Hare, A. Zaffaroni, P. Boyle, C. Fagan, B. Kent, C. Heneghan, P. de Chazal, W.T. McNicholas. Journal of Sleep Research, 2014
- Assessment of sleep-disordered breathing using a non-contact bio-motion sensor
A. Zaffaroni, B. Kent, E O’Hare, C. Heneghan, P. Boyle, G. O’Connell, M. Pallin, P. de Chazal, W. McNicholas. Journal of Sleep Research, 2013
- Breathing Rate Estimation from a Non-Contact Biosensor Using an Adaptive IIR Notch Filter
T. Ballal, R. Shouldice, C. Heneghan, A. Zhu. Conference proceeding Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS) IEEE Topical Conference, Jan 2012. Santa Clara, CA.
- Sleep/wake measurement using a non-contact biomotion sensor
P. de Chazal, N. Fox, E. O’Hare, C. Heneghan, A. Zaffaroni, P. Boyle, S. Smith, C. O’Connell, W.T. McNicholas. Journal of Sleep Research, 2011
- Real Time Breathing Rate Estimation from a Non Contact Biosensor
R. Shouldice, C. Heneghan, P. Gabor, A. Zaffaroni, P. Boyle, W. McNicholas
Conference proceeding IEEE EMBS, Aug 2010, Buenos Aires, Argentina.
- Comparison of a Novel Non−Contact Motion Sensor with Wrist Actigraphy in Estimating Sleep Quality in Obstructive Sleep Apnea Patients
M. Pallin, E. O’Hare, P. Boyle, A. Zaffaroni, P. De Chazal, W.T. McNicholas
American Journal of Respiratory and Critical Care Medicine, 2009
- Sleepminder: An Innovative Contact-Free Device for the Estimation of the Apnoea-Hypopnoea Index
A. Zaffaroni, P. de Chazal, C. Heneghan, W. McNicholas, P. Boyle, P. Ronayne.
Conference proceeding IEEE EMBS, Sept 2009, Minneapolis, MN.
- An Evaluation of a Non-contact Biomotion Sensor with Actimetry
N. Fox, C. Heneghan, M. Gonzalez, R. Shouldice, P. De Chazal.
Conference proceeding IEEE EMBS, Aug 2007. Lyon, France.
Sleep Improvement Product
- Effects of the SHUTi online CBT program for insomnia on objective sleep measured nightly by SleepScore by ResMed technology in suboptimal sleepers: A pilot study. Danoff-Burg, E. Dourleijn, J. Kim, H.M. Rus, F.P. Thorndike, R.J.E.M. Raymann. Conference presentation Annual Convention of the Association for Behavioral and Cognitive Therapies, Nov 2018, Washington, D.C.
- 1203 Worth The Weight: Weighted Blanket Improves Sleep And Increases Relaxation. S Danoff-Burg, H M Rus, L Cruz Martir, R J RaymannSleep, Volume 43, Issue Supplement_1, April 2020, Page A460, https://doi.org/10.1093/sleep/zsaa056.1197·
- 1054 Improving Sleep By Reducing Allergy Symptoms H Rus, S Danoff-Burg, L Cruz Martir, R J Raymann. Sleep, Volume 43, Issue Supplement_1, April 2020, Page A400, https://doi.org/10.1093/sleep/zsaa056.1050·
- Two million nights to characterize sleep heterogeneity: What Objective and self-report Big Data tell us. Volkov, H.M. Rus, S. Danoff-Burg, J. Kim, D. Albrecht, Z. Bennet, R.J.E.M Raymann. Conference presentation Congress of the European Sleep Research Society, Sept 2018, Basal, Switzerland.
- Age related sleep staging trends as measured using remote sleep sensing hardware. Quinlivan, A. Raj, K. Santo-Domingo, A. Zaffaroni, R.J.E.M. Raymann. Conference presentation Congress of the European Sleep Research Society, Sept 2018, Basal, Switzerland.
- 0412 Parents Sleep Longer When School is Out for the Summer: Associations Among Parenthood, Gender, and Season
M Ruder, H M Rus, A Raj, L Gahan, B O’Mullane … Sleep, Volume 43, Issue Supplement_1, April 2020, Pages A157–A158, https://doi.org/10.1093/sleep/zsaa056.409·
- 0443 Intra Week Sleep Patterns Analyzed Using Consumer Sleep Tracker Data. L Gahan, M Ruder, A Raj, B O’Mullane, R J Raymann. Sleep, Volume 43, Issue Supplement_1, April 2020, Page A170, https://doi.org/10.1093/sleep/zsaa056.440
- 1214 Higher Bedroom Temperature Associated With Poorer Sleep: Data From Over 3.75 Million Nights. A Raj, M Ruder, H M Rus, L Gahan, B O’Mullane … Sleep, Volume 43, Issue Supplement_1, April 2020, Page A464, https://doi.org/10.1093/sleep/zsaa056.1208
Consumer Sleep Technology
- Will Consumer Sleep Technology Change the Way We Practice Medicine? Watson NF, Lawlor C, Raymann RJ. J Clin Sleep Med. 2019;15(1):159-161
- Non-Contact Estimation of Sleep Staging A. Zaffaroni, E.P. Doheny, L. Gahan, Y. Ivanov, H. Kilroy, N. O’Mahony, D. O’Rourke. Conference proceeding IFMBE EMBEC & NBC 2017, Singapore.
- Consumer Sleep Technologies, Clinical Guidelines, and Evidence-Based Medicine: This is Not a Zero-Sum Game . Response to Magnusdottir. The importance of evidence-based medicine and clinical guidelines: meaningful and clinically actionable information cannot be compromised for the convenience of consumer sleep data. J Clin Sleep Med. 2019;15(5):795 –796. Nathaniel F. Watson, MD; Colin Lawlor; Roy J.E.M. Raymann, PhD