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.

Peer reviewed studies of sonar sensor technology for sleep measurement

• Sleep staging monitoring based on sonar smartphone technology
  A. Zaffaroni, S. Coffey, S. Dodd, H. Kilroy, G. Lyon, D. O’Rourke, K. Lederer, I. Fietze, T. Penzel, (2019). EMBC, 2230-2233. doi: 10.1109/EMBC.2019.8857033
• Contactless sleep apnea detection on smartphones
  R. Nandakumar, S. Gollakota, N. F. Watson (2015). MobiSys, 45–57. doi: 10.1145/2742647.2742674

Peer reviewed studies of radio frequency technology for sleep measurement 

• Age related sleep staging trends as measured using remote sleep sensing hardware
  B. Quinlivan, A. Raj, K. Santo-Domingo, A. Zaffaroni, R. J. E. M. Raymann (2018). J Sleep Res, 27(S1), 217-218. doi: 10.1111/jsr.12751
• 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 (2017). SLEEP, 40(S1), A290–A291. doi: 10.1093/sleepj/zsx050.783
• 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 (2015).
  Sleep Breath, 19(1), 91-98. doi: 10.1007/s11325-014-0967-z
• 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 (2014). Physiol Meas, 35(12), 2513-2527. doi: 10.1088/0967-3334/35/12/2513
• 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 (2014). J Sleep Res, 23(4), 475-484. Doi: 10.1111/jsr.12126
• 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 (2014). J Sleep Res, 23(S1), 1-331. 10.1111/jsr.12213
• 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 (2013). J Sleep Res, 23(S1), 231-237. doi: 10.1111/j.1365-2869.2012.01056.x
• Breathing rate estimation from a non-Contact biosensor using an adaptive IIR notch filter
  T. Ballal, R. Shouldice, C. Heneghan, A. Zhu (2012). IEEE, 5-8. doi: 10.1109/BioWireless.2012.6172727
• 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 (2011). J Sleep Res, 20(2), 356-366. doi: 10.1111/j.1365-2869.2010.00876.x
• Real time breathing rate estimation from a non-contact biosensor
  R. Shouldice, C. Heneghan, P. Gabor, A. Zaffaroni, P. Boyle, W. McNicholas (2010).
  IEEE, 630-633. doi: 10.1109/IEMBS.2010.5627275
• 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 (2009).
  Am J Respir Crit Care Med, 23(4), 475-483. doi: 10.1111/jsr.12126
• 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 (2009). IEEE, 7091-7094. doi: 10.1109/IEMBS.2009.5332909
• An evaluation of a non-contact biomotion sensor with actimetry
  N. Fox, C. Heneghan, M. Gonzalez, R. Shouldice, P. De Chazal (2007).
  IEEE, 2664-2668. doi: 10.1109/IEMBS.2007.4352877

Sleep Improvement Product

• 264 Field Test of Sound Machine Shows Significant Improvement in Perceived Sleep but Not Objective Sleep
  S. Danoff‐Burg, H. M. Rus, R. R. Rodriguez Jr., M. A. Weaver, R.J.E.M. Raymann (2021) Sleep, 44(S2), A106. doi: 10.1093/sleep/zsab072.263
• 266 Contact-free Snoring Solution Reduces Objectively-measured Snoring and Improves Bed Partners’ Objectively-measured Sleep
  S. Danoff‐Burg, H. M. Rus, M. A. Weaver, R. R. Rodriguez Jr., R.J.E.M. Raymann (2021) Sleep, 44(S2), A107. doi: 10.1093/sleep/zsab072.265
• 263 Use of an Air Purifier in the Bedroom Improves Objective and Perceived Sleep
  H. M. Rus, S. Danoff‐Burg, M. A. Weaver, R. R. Rodriguez Jr., R.J.E.M. Raymann (2021) Sleep, 44(S2), A105–A106. doi: 10.1093/sleep/zsab072.262
• 265 Blue Light Filtering Laptop and Tablet Screen Protectors Used After Sunset Improve Sleep
  H. M. Rus, S. Danoff‐Burg, M. A. Weaver, R. R. Rodriguez Jr., R.J.E.M. Raymann (2021) Sleep, 44(S2), A106. doi: 10.1093/sleep/zsab072.264
• 1203 Worth the weight: weighted blanket improves sleep and increases relaxation
  S. Danoff-Burg, H. M. Rus, L. Cruz Martir, R.J.E.M. Raymann (2020). Sleep, 43(S1), A460. doi: 10.1093/sleep/zsaa056.1197·
• 1054 Improving sleep by reducing allergy symptoms
  H. M. Rus, S. Danoff-Burg, L. Cruz Martir, R.J.E.M. Raymann (2020). Sleep, 43(S1), A400. doi: 10.1093/sleep/zsaa056.1050
• Fragrance affects self‐reported and objectively measured sleep in healthy women: a double‐blind, placebo‐controlled crossover field study
  H. M. Rus, A. Jain, S. Danoff‐Burg, M. A. Weaver, M. Tabert, R.J.E.M. Raymann (2020). J Sleep Res, 29(S1), 393. doi: 10.1111/jsr.13181
• P561 Use of an adjustable bed base to sleep in an inclined position shows significantly reduced objective snoring and improved sleep: an in‐home product effectiveness study H. M. Rus, S. Danoff‐Burg, M. A. Weaver, R.J.E.M. Raymann (2020). Sleep, 43(S1), A460. doi: https://doi.org/10.1111/jsr.13181
• 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
  S. Danoff-Burg, E. Dourleijn, J. Kim, H. M. Rus, F.P. Thorndike, R.J.E.M. Raymann (2018). ABCT.

Big Data

• 218 BIDEN WON, BUT SLEEP LOST IN THE 2020 US ELECTION
  L. Gahan, M. Ruder, B. O’Mullane, N. Watson, R. Raymann (2021) Sleep, 44(S2), A87. doi: 10.1093/sleep/zsab072.217
• 220 Sleep schedule changes during the COVID-19 pandemic: Relations to circadian preferences
  M. Ruder, L. Gahan, B. O’Mullane, N. Watson, R. Raymann (2021) Sleep, 44(S2), A88. doi: 10.1093/sleep/zsab072.219
• 0443 Intra Week Sleep Patterns Analyzed Using Consumer Sleep Tracker Data
  L. Gahan, M. Ruder, A. Raj, B. O’Mullane, R.J.E.M. Raymann (2020). Sleep, 43(S1), A170. doi: 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, S. Danoff-Burg, R.J.E.M. Raymann (2020) Sleep, 43(S1), A464. doi: https://doi.org/10.1093/sleep/zsaa056.1208
• 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, S. Danoff-Burg, M. A. Weaver, R.J.E.M. Raymann (2020). Sleep, 43(S1), A157–A158. doi: 10.1093/sleep/zsaa056.409
• Two million nights to characterize sleep heterogeneity: What Objective and self-report Big Data tell us
  A. Volkov, H.M. Rus, S. Danoff-Burg, J. Kim, D. Albrecht, Z. Bennet, R. J. E. M. Raymann (2018). J Sleep Res, 27(S1), 12. doi: 10.1111/jsr.12751

Consumer Sleep Technology

• Will Consumer Sleep Technology Change the Way We Practice Medicine? 
  N. F. Watson, C. Lawlor, R.J.E.M. Raymann (2019). J Clin Sleep Med, 15(1), 159-161 doi: 10.5664/jcsm.7596
• Consumer Sleep Technologies, Clinical Guidelines, and Evidence-Based Medicine: This is Not a Zero-Sum Game 
  N. F. Watson, MD; C. Lawlor; R. J. E. M. Raymann (2019). J Clin Sleep Med, 15(5), 795-796. doi: 10.5664/jcsm.7784
• Non-Contact Estimation of Sleep Staging 
  A. Zaffaroni, E. P. Doheny, L. Gahan, Y. Ivanov, H. Kilroy, N. O’Mahony, D. O’Rourke (2017). IFMBE EMBEC & NBC, 65, 77-80 doi: 10.1007/978-981-10-5122-7_20