EEG-timed sound cues designed to support the brain’s most restorative sleep
TORONTO–(BUSINESS WIRE)–#brainhealth–Muse today announced Deep Sleep Boost (DSB), a new sleep feature designed to help users sustain deeper, more stable slow-wave sleep. Powered by Muse S Athena, Deep Sleep Boost delivers targeted slow-wave sleep support using AI-driven neural signal models trained on large-scale EEG data. These models enable precise detection of slow-wave sleep and real-time timing of acoustic stimulation, addressing the brain’s most restorative sleep stage—closely linked to physical recovery, memory consolidation, and long-term brain health.
Many adults spend enough time in bed but still wake up unrefreshed. The issue is often not sleep duration, but insufficient depth. Deep Sleep Boost is designed to strengthen and stabilize deep sleep using EEG-guided, phase-timed sound cues, helping users wake feeling more restored and clear-headed.
“Helping people fall asleep is important, but sleep quality is what ultimately drives recovery,” said Chris Aimone, Chief Innovation Officer and Co-Founder of Muse. “Over the past several years, we’ve made sustained advances in EEG-based sleep modeling, combining improved signal processing, machine learning, and large-scale training data to better understand not just when deep sleep occurs, but how it’s structured. Deep Sleep Boost builds on that foundation, using adaptive, real-time brain models to precisely time sound cues and support deeper, more continuous slow-wave sleep rather than simply adding more minutes.”
Translating sleep science into real-world results
Controlled research has shown that precisely timed acoustic stimulation during slow-wave sleep can meaningfully strengthen deep sleep. In one randomized trial, phase-locked sound cues increased slow-wave activity by nearly 50% and improved overnight memory retention by about 20%.
In a pilot study involving people with Alzheimer’s disease, nightly acoustic stimulation was associated with an approximately 60% increase in time spent in deep, slow-wave sleep.
Deep Sleep Boost translates this validated sleep science into a feature designed for consistent, real-world use at home. In beta testing, Deep Sleep Boost delivered measurable improvements in the structure of deep sleep itself, an aspect of sleep quality that matters more than simply increasing the total minutes spent in deep sleep:
- Users experienced ~24% longer slow-wave trains, meaning sustained sequences of deep sleep brainwaves, and ~42% more slow-wave trains per minute during deep sleep.
- Together, these effects resulted in ~76% more slow waves occurring within organized trains, reflecting deeper, more continuous sleep rhythms rather than fragmented deep sleep counted simply as minutes asleep.
How Deep Sleep Boost works
Muse S Athena, the world’s first consumer wearable to combine EEG and fNIRS, continuously monitors brain activity overnight. When slow-wave sleep is detected, Deep Sleep Boost delivers whisper-quiet, EEG & AI timed pink-noise synchronized to the brain’s slow oscillations to reinforce and stabilize deep sleep without waking the user.
A built-in Sleep-Safe Design automatically pauses stimulation if signs of disruption are detected. Users can customize intensity and timing preferences, with premium users able to layer Deep Sleep Boost alongside other sound tools.
Supporting the full sleep cycle
Muse’s ability to deliver effective sleep interventions is built on years of EEG-guided sleep support already in use by consumers. Muse directly measures real-time brain activity during sleep, offering advanced sleep tracking powered by validated EEG-based AI models trained on longitudinal, real-world brain data.
Deep Sleep Boost complements Muse’s broader Sleep, by Design toolkit, including:
- Sleep Assist helps users fall and stay asleep using EEG-guided acoustic cues with users reporting falling asleep 55% faster.
- Deep Sleep Boost supports sustained slow-wave sleep by delivering EEG-timed acoustic stimulation with beta users experiencing ~76% more organized slow-wave activity reflecting deeper, more continuous deep sleep.
- Smart Alarm, launching in 2026, uses EEG-informed timing to wake users during lighter sleep phases, helping reduce morning grogginess.
- Muse’s AI Coach: Enso shares clear explanations and guidance based on their sleep data to better understand nightly patterns over time.
Together, these features are designed to help users fall asleep faster, sleep deeper, and wake clearer, using real-time brain data throughout the night.
Availability
Deep Sleep Boost is available now for iOS and Android users included with every Muse S Athena at no additional cost. For more information, visit www.choosemuse.com. Samples and media interviews available upon request.
About Muse by Interaxon Inc.
Muse is pioneering brain health through its industry-leading mEEG platform, built on advanced AI algorithms. Muse spearheads decentralized research initiatives focused on enhancing mental health, optimizing sleep, and advancing cognitive performance through innovative neurotechnology. Muse’s AI-driven tools empower researchers, developers, and consumers worldwide, and are underpinned by 200+ third-party-led studies from institutions including the Mayo Clinic, MIT, and Harvard. Muse has collected and decoded over 1 billion minutes of brain data to-date. Muse is headquartered in Toronto, Canada.
References
Ngo HV, et al. Auditory Closed-Loop Stimulation of the Sleep Slow Oscillation Enhances Memory. Neuron, 2013.
Papalambros NA, et al. Acoustic Enhancement of Slow-Wave Activity during Sleep in Alzheimer’s Disease. Journal of Clinical Sleep Medicine, 2023.
Sleep Advances (2025). Advances in EEG-based sleep staging algorithms for wearable neurotechnology.
*Muse has demonstrated approximately 86% agreement with polysomnography, compared to about 75% for wrist- and ring-based wearables.
Contacts
Press Contact
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