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.

Sonar scientific studies used in the SleepScore App

Evaluation of the SleepScore Labs Sonar and Radio frequency Sleep Sensor Technologies by ResMed™
White paper SleepScore Labs, 2018

Radar scientific studies used in SleepScore Max

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.

  1. 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.


Big Data

Two million nights to characterize sleep heterogeneity: What Objective and self-report Big Data tell us. 

  1. 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.

  1. 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.


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

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