Improving sleep on a global scale isn’t just a technological or entrepreneurial challenge. It’s also a major societal and scientific challenge. Tackling it requires a better understanding of the brain and a shift in mentalities towards sleep.
Since Dreem’s creation, we’ve been working hand in hand with the research world. We translate scientific discoveries into concrete technological solutions that can be used widely.
This research-technology-user cycle is essential:
Our connections with the world of research allow us to base our product on recognized scientific concepts from the outset.
Technology is our vector for action: it allows for concrete applications of these scientific concepts.
Lastly, our users play an essential role: They allow us to evaluate the performance of various solutions on different sleep profiles, including rare ones. Access to such a broad user base greatly facilitates the design, validation, and development of new solutions for a wide range of audiences.
This virtuous circle allows us to contribute to sleep research, and of course, to make our product the benchmark solution for better sleep.
Sleep can’t be accurately measured by observing movement alone. It’s necessary to monitor other physiological signals too. The most critical: brain activity.
Polysomnography is a monitoring procedure conducted in specialized sleep centers. It measures brain activity, heart and respiratory rates, oxygen concentration in the blood, eye movement, and muscle activity.
Our approach is similar. Dreem records most of these signs—heart rate, movement, breathing, and above all, brain activity—unlike most of today’s sleep trackers. But in contrast to conventional polysomnography performed in sleep clinics, Dreem automatically identifies sleep stages, in real time. This work is carried out by artificial-intelligence algorithms embedded in the headband, and based on physiological signals. The result—the identification of sleep stages—is as accurate as those of a sleep expert using polysomnography.
Sleeping pills may be popular, but they’re simply not the best answer to sleep problems. It’s time for an effective and safe alternative.
Insomnia affects 12 - 20% of the population, and unfortunately, the most common treatment is sleeping pills. All sleeping pills aren’t created equal; some have more dangerous side effects than others, especially when it comes to daytime drowsiness. But no matter the pill, they all treat the symptoms, not the causes, of insomnia. We want to deliver a solution that tackles both the effects and causes of insomnia, to improve sleep in an effective and sustainable way.
To treat chronic insomnia, we need to dig down to the root causes: habits, thoughts, emotions. Cognitive and Behavioural Therapy for Insomnia (CTB-I) is now the standard treatment recommended by the World Health Organization.
CBT-I is the only effective treatment for chronic insomnia recognized by the medical community. It helps identify and adjust the behaviors and thoughts that fuel poor sleep. The behavioral portion of CBT helps to consolidate sleep, or sleep in a single session. It includes, among other things, exercises to limit the time spent in bed. The cognitive aspect, on the other hand, focuses on deconstructing the mental patterns that can hinder our relationship with sleep. CBT has traditionally been conducted by a therapist. It’s now proven that digital therapy is just as effective, in addition to being easier to follow and cheaper. The only catch? It needs to be carried out to the end.
After the sleep assessment, Dreem will recommend the Sleep Restructuring Program to those who need it: those suffering from fragmented sleep. The Dreem Band's role in this program is essential. On one hand, it objectively and precisely tracks sleep, no diary needed. On the other hand, the headband accurately measures the user's progress, strengthening their commitment over time and their chances of success. The app also plays a decisive role as the success of this program depends largely on the motivation and dedication of the user. Unlike a conventional therapist, the Dreem app interacts with the user on a daily basis to inform, guide, and motivate them.
Relaxation and biofeedback are effective techniques to prepare our bodies for sleep.
Sleep problems are often characterized by an unstoppable flow of thoughts, and anxiety is usually the cause of this phenomenon, called “rumination“. Relaxation is a very effective remedy for combatting anxiety, and therefore sleep problems, Breathing exercises, meditation, biofeedback... These methods are widely celebrated and have quite the track record. The medical community now recognizes (and recommends) sophrology, progressive muscle relaxation, or biofeedback to induce a state of relaxation and fall asleep faster.
Dreem integrates different relaxation techniques: body scan (progressive muscle relaxation), breathing exercises, meditation, and neurofeedback. The app, or Dreem Coach, helps the user to choose between and explore several techniques. What is neurofeedback? Neurofeedback is a form of biofeedback, or the real-time translation of a biological signal (heartbeat, breathing rate, etc.) into another signal, more perceptible to the user (a sound, for example). It’s called "neurofeedback" when applied to brain activity and requires the accurate measurement of it in real time using brain sensors. That’s why it is available in very few products, one of which is Dreem. Dreem uses neurofeedback as a relaxation technique. The level of relaxation, measured by the shape of brain waves, is translated into a sound signal. The user then tries to generate sounds that reflect an optimal level of relaxation. This makes it easier for them to achieve the desired effect.
Deep sleep is the most restorative sleep stage and its quality can be improved using sound.
Deep sleep is when your body recovers from the previous day and refreshes itself for the next. Current scientific studies suggest there is likely a link between deep-sleep degradation and the neurodegenerative disease. Many studies have demonstrated that it’s possible to modulate deep sleep using electrical or magnetic transcranial stimuli, leading to a strengthening of the declarative memory. Neuroscientist Jan Born replicated these results in 2013, but this time with much less invasive stimuli: sound stimulations, synchronized with brain activity. Played at specific moments of deep sleep, the pink noise-based sound stimuli boost deep-sleep brain waves. They increase their amplitude and density, the main indicators of deep sleep quality.
These deep-sleep sound stimuli are the core feature of the Dreem Band. We’ve come a long way and considerably improved their efficiency since the original prototype. For example, the volume of stimuli now automatically adapts to each individual's sensitivity to noise. Deep-sleep sound stimulation is a promising technique and many research teams are currently working on its various applications and identifying the populations that could benefit most from it.
Sleep inertia contributes to for the feeling of fatigue upon waking up. To prevent this phenomenon, it’s important to avoid waking up during deep sleep.
The transition from sleep to awake is often accompanied by a phenomenon called "sleep inertia." It causes drowsiness and is the result of the body not functioning optimally. This condition can last from a few minutes to a few hours. Studies show that a sudden wake-up during the deep-sleep phase generates much greater sleep inertia than when it occurs during light sleep. The results concerning paradoxical sleep are more contradictory.
Dreem's Smart Alarm is designed to prevent sleep inertia. It’s activated as late as possible, in a window up to 30 minutes before the chosen time, and maximizes your chances of waking up in light sleep phase.
We all sleep differently. To be effective, sleep improvement must be highly personalized.
Although the concept is not new, precision medicine is currently enjoying spectacular development. The surge of increasingly accurate analytical tools on the consumer market, such as genetic-sequencing solutions, is just the tip of the iceberg. The detailed characterization of a physiological context (phenotyping, genotyping, etc.) makes it possible to identify and develop customized solutions that can respond to individual needs.
Dreem carries out objective and subjective individual measurements of daily sleep. These metrics feed our database and, coupled with our clinical studies, allow us to better understand the links between different physiological signals and the occurrence of certain symptoms. It’s thanks to these measurements that we can offer different journeys for each type of user. A chronic insomniac will not have the same experience with Dreem as someone who doesn't sleep long enough. At the individual level, we also optimize our machine-learning algorithms to improve Dreem's effectiveness based on individual characteristics. In the long term, we hope to provide 100% customized treatment and prevention solutions.
Sleep remains a big mystery in the neuroscience world. Why are we sleeping? What are dreams for? What is the physiological definition of a good night's sleep? Until now, researchers and doctors have had to deal with bulky tools and restrictive environments that constrained large-scale experiments. However, such studies are absolutely necessary to understand sleep: Sleep is complex and its countless variations require a broad scope of research. That's why we created the Adventurers Program. It allows hypotheses, new algorithms, and new functionalities to be tested in a very short time, on a very large number of volunteer users, and over several consecutive nights. All these parameters are lacking in traditional research, and allow us to improve our product rapidly, on every level. The Adventurers Program is open to all Dreem users. It allows everyone to be part of improving the headband while contributing to sleep research. Testing new techniques, collecting specific measurements, sharing feedback and experiences... It makes you part of our community of sleep explorers. With this new, open and iterative approach, we are convinced that we can further develop our understanding of sleep, at an accelerated pace, in partnership with our scientific partners.
Use of Dreem headband in order to reactivate memory during naps in healthy volunteers (targeted memory reactivation).
Ecological EEG measurements during wake and sleep in patients with myotonic dystrophy type 1 (DM1) to identify fatigue and sleepiness as an outcome biomarker of DM1 in clinical trials.
Investigator in one of our clinical trial "Comparison of Dreem to Clinical PSG for Sleep Monitoring in patients with suspected sleep-disordered breathing (OCTAVE Stanford)"
Understanding states of consciousness beyond being "awake" and "asleep" by monitoring the brain activity associated to a description of their experiences during 8 weeks protocol in subjects with a good level of experience in meditation.
Studying temporal relationships between postoperative delirium, cognitive impairment, and well-characterized EEG markers, and signatures associated with arousal and cognitive function.
Investigating whether the Dreem device can optimize the hospital acoustic in synchrony with the endogenous oscillations in various clinical settings.
Investigating whether targeted reactivation of foreign vocabulary delivered by the Dreem can enhance new learning during deep sleep.
Main Partner in Morpheo Consortium and Investigator in one of our clinical trial "Effects of Synchronised Auditory Stimulations of the Sleep Slow Oscillation on Deep Sleep Quality (STIMENPHASE)"
Main Partner in Morpheo Consortium for machine learning analysis.
Partner in the European SlowDyn Consortium (FLAGERA) on "Slow Wave Dynamics: from experiments, analysis, and models to rhythm restoration".
Bretigny Sur Orge, FRANCE
Investigator in one of our clinical trial "Comparison of Dreem to Clinical PSG for Sleep Monitoring in healthy subjects (OCTAVE IRBA)"