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MUSE RESEARCH

Featured research with Muse

Muse is a powerful, compact electroencephalography (EEG) system. By leveraging improvements in dry sensor technology, Bluetooth and battery life, as well as significant advances in digital signal processing, Muse makes it easy to access and use brainwave data, inside and outside the laboratory and in real-world environments.

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Backed by research from prestigious institutions:

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The Power of EEG Technology

Electroencephalography, or EEG, is a state-of-the-art technology that reads and records the electrical activity within the brain. The result? Wave-like patterns that provide a real-time visual snapshot of the brain at work.

This powerful tool has allowed us to map states of consciousness, study neurological disorders, uncover the mysteries of sleep, and ultimately, advanced our understanding of the brain's intricate workings.

Yet, accessing this tool has historically been costly, complex, and inaccessible outside of clinical settings.

Accuracy at Scale

Today, EEG devices are more portable, user-friendly, and affordable than ever. But how does the accuracy of these devices stack up against the experts?

With an impressive 86% accuracy rate in comparison to clinical EEG experts, Muse has earned its place as a trusted technology for neuroscientists, researchers, clinicians, and individuals across the globe.

Accuracy in perceived stress

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Accuracy in stroke detection

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Biofeedback Training Meets Meditation

Biofeedback training, especially when linked with meditation, is an effective method that helps users gain more control over their body’s and brain’s functions and responses.

Here's how it works: Muse measures the user's brainwave patterns, heart rate, or breathing—while they meditate. Muse then gives them real-time feedback on their mental state in the form of sounds, helping them understand when they have successfully reached a meditative state.

Over time, this can improve their ability to focus, reduce stress, and enhance self-awareness.

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Foundational research

Over 700 peer-reviewed studies using neurofeedback have been published in the scientific literature, with demonstrated efficacy in attention-deficit hyperactivity disorder (ADHD), anxiety, post-traumatic stress disorder (PTSD), addiction and more.

ADHD

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Anxiety

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PTST

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Cognitive Enhancement

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Significant improvement in attention

Results of a pilot study revealed a significant improvement in attention after 9 weeks of Myndlift neurofeedback, as measured by a continuous performance test (CPT).

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How does Muse compare against other wrist wearables and fitness trackers?

Sleep

While wrist wearables and fitness trackers can give you a pretty good guess on how long you’re spending in each sleep stage, measuring brain activity is the only way to truly understand your sleep patterns.

  • Precision Empowered: While many devices gauge sleep stages using movement and heart rate, Muse brings precision to the forefront with EEG measurements. We tap directly into the source - your brainwaves - the gold standard for discerning sleep stages.
  • Deep-Dive Insights: Rather than offering a surface-level sleep overview, Muse delves deeper. While others count the minutes you spend in light, deep, and REM sleep, Muse uncovers the 'when' and 'how'. When is your deep sleep most restorative? How does your sleep position affect awakenings? With Muse, you explore the facets of your sleep that truly matter.
  • True Sleep Perception: Other devices may trip over periods of stillness or calm heart rate, interpreting them as sleep. Imagine this: you're engrossed in a late-night novel, motionless. Such devices might consider you fast asleep. However, Muse’s EEG technology sees beyond the surface, recognizing your wakeful reading. Equally, Muse intelligently interprets a sudden heart rate spike, distinguishing the excitement of a vivid dream from a midnight water expedition.

Meditation

Why EEG Brain Data Matters in Meditation

While wrist wearables and fitness trackers can give you a pretty good guess on how long you’re spending in each sleep stage, measuring brain activity is the only way to truly understand your sleep patterns.

  • Pinpoint Accuracy: Our EEG technology taps into the source - your brainwaves - for a precise insight into your meditation states, far surpassing the guesswork of heart rate proxies and other meditation apps.
  • Instantaneous Guidance: With Muse's real-time biofeedback, you can tweak your meditation techniques on-the-go, making every session more effective.
  • Deep Dive into Your Mind: Get an in-depth look at your meditation state, measuring not just the length but the quality of your practice.
  • Personalized Path: Our real-time biofeedback tailors advice to you, supporting a unique, personalized meditation journey that suits your rhythm.
  • Track Your Progress: See how far you've come! Our EEG data tracking over time allows you to visualize your growth, serving as a motivating pat on the back.
  • Tame the Wandering Mind: Our technology helps you recognize and reduce mind-wandering, a common obstacle on the road to meditation mastery.
  • Trust the Science: Backed by scientific research, Muse's use of EEG data for meditation monitoring instills confidence in your progress and results.
  • Interactive Experience: EEG data combined with real-time biofeedback provides an immersive, responsive meditation experience, making your sessions both enjoyable and beneficial.

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Research Resource Identifier (RRID)

If you’re publishing research papers with Muse, make them more easily identifiable to other scientists through the Research Resource Identifier (RRID) initiative. 

Don’t forget to insert Muse’s unique identifier in your paper’s methods section when you first mention Muse, like this:

Muse (SCR_014418).

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Muse Tools for Developers & Researchers

Muse SDK

Muse SDK handles the Bluetooth connection and asynchronously manages that connection.

By linking with the Muse library, an application can access signals from the sensors on the Muse headband (EEG, PPG, accelerometer, etc.) along with a few processed signals as identified in the SDK documentation.

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