Science Backed Research

Sonic Sleep uses the science of sound to help you sleep

ABOUT

Sonic Sleep uses the science of sound to help you sleep

  • Verified Research

    We have received grants from the National Science Foundation and the National Institute of Health to validate our innovative way of accurately measuring sleep and actually improving your sleep quality. We don’t believe in taking a cookie cutter approach to sleep improvement. Instead we give personalized feedback based on each person’s unique sleep situation. Whether that means figuring out their best schedule, helping them feel more alert throughout the day, or optimizing their sleep for intense physical performance. A good night’s sleep sets each person up for success the next day. Our app includes a new technique of making your sleep deeper with a special sound that we play at the right stage of your sleep. This helps you feel more rested and rejuvenated the next day.

  • Sleep is the Foundation

    Sonic Sleep is changing sleep culture in our society and training people in how to apply the methods we’ve developed to improve their sleep. We aim to establish a new generation of analytically-minded sleep coaches and spread the idea of sleep being thought of as one of the three parts of the foundation of good health, along with diet and exercise.

    Our innovative technology, scientific method, and holistic approach to sleep are what enable us to stand apart from the rest.

  • Custom Sleep Tools

    With the constant stresses and hustle of life today, humans don’t know what sleep is anymore. More people have sleep problems today than ever before and many people try a lot of gimmicks to try to improve their sleep, which result in little improvement and more stress. Sonic Sleep helps these people understand their unique sleep needs and what they can do to improve their sleep health and well-being, while keeping each individual’s daily schedule demand and lifestyle in mind. We provide customized sleep improvement plans that fit each individual’s life.


  • Verified Research

  • We have received grants from the National Science Foundation and the National Institute of Health to validate our innovative way of accurately measuring sleep and actually improving your sleep quality. We don’t believe in taking a cookie cutter approach to sleep improvement. Instead we give personalized feedback based on each person’s unique sleep situation. Whether that means figuring out their best schedule, helping them feel more alert throughout the day, or optimizing their sleep for intense physical performance. A good night’s sleep sets each person up for success the next day. Our app includes a new technique of making your sleep deeper with a special sound that we play at the right stage of your sleep. This helps you feel more rested and rejuvenated the next day.


  • Sonic Sleep is changing sleep culture in our society and training people in how to apply the methods we’ve developed to improve their sleep. We aim to establish a new generation of analytically-minded sleep coaches and spread the idea of sleep being thought of as one of the three parts of the foundation of good health, along with diet and exercise.

    Our innovative technology, scientific method, and holistic approach to sleep are what enable us to stand apart from the rest.


  • Sleep is the Foundation


  • Custom Sleep Tools

  • With the constant stresses and hustle of life today, humans don’t know what sleep is anymore. More people have sleep problems today than ever before and many people try a lot of gimmicks to try to improve their sleep, which result in little improvement and more stress. Sonic Sleep helps these people understand their unique sleep needs and what they can do to improve their sleep health and well-being, while keeping each individual’s daily schedule demand and lifestyle in mind. We provide customized sleep improvement plans that fit each individual’s life.

sleep-2-Peak Reaction Time

This tool allows you to discover what sleep schedule and what periods of the day are associated to your peak mental and physical state. By using sleep-2-Peak, you will become aware of alertness variations beyond what you can feel and you will discover how powerful your schedule choices can be to boost your performances naturally. This task uses a variation of the psychomotor vigilance tasks that has been validated by scientific research.

Mind Metrics

Simple games that are proven to measure your alertness system and higher level cognitive abilties. The tasks include: the psychomotor vigilance task, N-Back tasks, and combined N-Back and vigilance tasks. These tasks can measure working memory, vigilance, spatial working memory, visual perception, and task switching.

Google Scholar Citation Index

Journal Articles

Gartenberg, D., Gunzelmann, G., Hassanzadeh-Behbahani, S., & Trafton, J. G. (accepted). Examining the role of task requirements in the magnitude of the vigilance decrement, Frontiers in Psychology (doi: 10.3389/fpsyg.2018.01504) PDF

Brunet, J. F., Dagenais, D., Therrien, M., Gartenberg, D., & Forest, G. (2017). Validation of sleep-2-Peak: A smartphone application that can detect fatigue-related changes in reaction times during sleep deprivation. Behavior Research Methods, 49, 4, 1460-1469. PDF

Youmans, R. J., Smith, M. A., Gartenberg, D., Sarbone, B., Liu, S., Higgins, J., Lee, P., Penaranda, N., & Liu, S. (2014). FleetTM: A distributed information gathering and processing system for the alleviation of commercial air travel anxiety. The Journal of Air Traffic Control, 56, 1, 32-38. PDF

Breslow, L., Gartenberg, D., McCurry, M., & Trafton, J. G. (2014). Dynamic Operator Overload: A model for predicting workload during supervisory control. IEEE Transactions on Human-Machine Systems, 44, 1, 30-40. PDF

Gartenberg, D., & Thornton, R., Mortazavi, M., Pfannenstiel, D., Taylor, D., & Parasuraman, R. (2013). Collecting health-related data on the smart phone: mental models, cost of collection, and perceived benefit of feedback. Pers Ubiquit Comput, 17, 3, 561-570. PDF

Dissertation

Gartenberg, D. (2016). A Comprehensive Computational Model of Sustained Attention (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses. Advisor: Greg Trafton, Committee: Glenn Gunzelmann, Tyler Shaw, & Patrick McKnight.PDF

Conferences, Chapters, and Posters

Roberts, D. M., Schade, M. M., Mathew, G. M., Gartenberg, D, & Buxton, O. H (submitted). Development of a momentary sleep versus wake classification algorithm using balanced data from two multisensor consumer wearable devices. Birmingham, AL: Society of Behavioral Sleep Medicine, 2019.

Schade, M. M., Roberts, D. M., Gartenberg, D, Mathew, G. M., & Buxton, O. H (2018). Auditory stimulation during sleep transiently increases delta power and all-night proportion of NREM stage 3 sleep while preserving total sleep time and continuity. San Diego, CA: Society for Neuroscience, 2018. PDF

Brunet, J., Therrien, M., Hebert, K., Tzivanapoulos, N., Gartenberg, D., & Forest, G (2015). Greater decline in reaction time performance on a smartphone application during sleep deprivation is linked to extraversion.In Proceedings of the 29th annual meeting of the Associated Professional Sleep Societies. PDF

Gartenberg, D., Gunzelmann, G., Veksler, B., & Trafton, J. G. (2015). Improving vigilance analysis methodology: Questioning the successive versus simultaneous distinction. In Proceedings of 59th annual meeting of the Human Factors and Ergonomics Society.  PDF

Brunet, J., Therrien, M., Gartenberg, D., & Forest, G (2014). Validation of a smartphone psychomotor vigilance application: Preliminary Data. In Proceedings of the 28th annual meeting of the Associated Professional Sleep Societies. PDF

Gartenberg, D., Veksler, B., Gunzelmann, G., & Trafton, J. G. (2014). An ACT-R process model of the signal duration phenomenon of vigilance. In Proceedings of 58th annual meeting of the Human Factors and Ergonomics Society.   PDF

Youmans, R. J., Smith, M. A., Gartenberg, D., Liu, S., Higgins, J., Penaranda, N., & Sarbone, B. (2013). FleetTM: A Distributed Information Gathering and Processing System for the Alleviation of Commercial Air Travel Anxiety. Proceedings of the 58th Air Traffic Control Association’s Annual Conference & Exposition, Washington, DC.   PDF

Khemlani, S., Gartenberg, D., Park, K.H., & Trafton, J.G. (2013). Uncertainty can increase explanatory credibility. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 2692-2697). Austin, TX: Cognitive Science Society.

Gartenberg, D., Breslow, L., Park, J., McCurry, M., & Trafton, J. G. (2013). Adaptive Automation and cue invocation: The effect of cue timing on operator error. Proceedings of Computer Human Interaction (CHI) 2013.  PDF  video

Therrien, M., Hebert, M., Gartenberg, D., De Koninck, J., & Forest, G (2013). Awareness of reaction time variations with sleep schedule measured on a smartphone can improve sleep habits and performance. In Proceedings of the 27th annual meeting of the Associated Professional Sleep Societies. PDF

Hebert, M., Gartenberg, D., De Koninck, J., & Forest, G, Therrien, M. (2013). Alertness measured by average reaction time on a smartphone predicts physical performance. In Proceedings of the 27th annual meeting of the Associated Professional Sleep Societies. PDF

Gartenberg, D., Forest, G., & Therrien, M. (2012). A smartphone PVT application is successfully used to identify one’s sleep schedule associated with better daytime alertness. Associated Professional Sleep Societies.PDF

Therrien, M., Hebert, M., Gartenberg, D., De Koninck, J., & Forest, G (2012). High correlation and predictive value between alertness measured by reaction time and physical performance. Associated Professional Sleep Societies. PDF

Eisert, J., Gartenberg, D., Thornton, R., & Youmans, R. (2012). Optimal interface location and limits of gesture proficiency in an automobile. In Proceedings of 56th annual meeting of the Human Factors and Ergonomics Society. PDF

Gartenberg, D. McGarry, R., Phannenstiel, D., Cisler, D., Shaw, T., & Parasuraman, R. (2012). Development and evaluation of a neuroergonomic smart phone application to assess vigilance and arousal. 4th International Conference on Applied Human Factors and Ergonomics. PDF

Gartenberg, D. & Parasuraman, R. (2010). Understanding Brain Arousal and Sleep Quality Using a Neuroergonomic Smart Phone Application. In Marek, T., Karwowski, W., & Rice, V. (Eds.), Advances in Understanding Human Performance, 3rd International Conference on Applied Human Factors and Ergonomics (pp. 210-220).     PDF