Muse (headband)

Last updated
Muse
Muse Logo for headband.png
Product typeElectronic headband
OwnerInteraXon
Produced byInteraXon
Country Toronto, Ontario, Canada
IntroducedMay 2014
Website www.choosemuse.com

Muse is a brain activity sensing headband. The device measures brain activity via 4 electroencephalography (EEG) sensors. An accompanying mobile app converts the EEG signal into audio feedback that is fed to the user via headphones. [1] Muse is manufactured by InteraXon, a company based in Toronto, Ontario, Canada [2] that was founded in 2007 by Ariel Garten, Trevor Coleman, Chris Aimone, and Steve Mann originally at 330 Dundas Street West (Steve Mann's lab), in Toronto, Ontario, Canada. [3] [4] [5] [6] Development of the Muse product began in 2003, and after several rounds of fundraising, was released to the public in May 2014. [2] In 2018, the company launched Muse 2, which also measures heart rate, breath, and body movement.

Contents

The device operates by representing brain waves that correspond to a more relaxed state through the sound of tweeting birds, and higher amounts of brain activity is represented by storm sounds. [7]

It was demonstrated that Muse can be used for ERP research, with the advantage of it being low cost and quick to set up. Specifically, it can easily quantify N200, P300, and reward positivity. [8]

It is also widely used for a wide variety of other applications ranging from health and wellbeing to scientific and medical research. [9] [10] [11] [12] [13] [14] [15]

It is claimed that using the headband helps in reaching a deep relaxed state. [16]

Muse is worn over the ears and connects to a companion mobile app via bluetooth. The use of Muse enables the use of biofeedback, differing from a device like Thync that claims to actually alter brainwaves by wearing it. [17]

Related Research Articles

<span class="mw-page-title-main">Wearable computer</span> Small computing device worn on the body

A wearable computer, also known as a body-borne computer, is a computing device worn on the body. The definition of 'wearable computer' may be narrow or broad, extending to smartphones or even ordinary wristwatches.

<span class="mw-page-title-main">Steve Mann (inventor)</span> Professor and wearable computing researcher

William Stephen George Mann is a Canadian engineer, professor, and inventor who works in augmented reality, computational photography, particularly wearable computing, and high-dynamic-range imaging. Mann is sometimes labeled the "Father of Wearable Computing" for early inventions and continuing contributions to the field. He cofounded InteraXon, makers of the Muse brain-sensing headband, and is also a founding member of the IEEE Council on Extended Intelligence (CXI). Mann is currently CTO and cofounder at Blueberry X Technologies and Chairman of MannLab. Mann was born in Canada, and currently lives in Toronto, Canada, with his wife and two children. In 2023, Mann unsuccessfully ran for mayor of Toronto.

<span class="mw-page-title-main">Biofeedback</span> Gaining awareness of biological processes

Biofeedback is the technique of gaining greater awareness of many physiological functions of one's own body by using electronic or other instruments, and with a goal of being able to manipulate the body's systems at will. Humans conduct biofeedback naturally all the time, at varied levels of consciousness and intentionality. Biofeedback and the biofeedback loop can also be thought of as self-regulation. Some of the processes that can be controlled include brainwaves, muscle tone, skin conductance, heart rate and pain perception.

<span class="mw-page-title-main">Electroencephalophone</span> Musical instrument and diagnostic tool using EEG signals

An electroencephalophone or encephalophone is an experimental musical instrument and diagnostic tool which uses brain waves to generate or modulate sounds.

<span class="mw-page-title-main">Neurofeedback</span> Type of biofeedback

Neurofeedback is a form of biofeedback that uses electrical potentials in the brain to reinforce desired brain states through operant conditioning. This process is non-invasive and typically collects brain activity data using electroencephalography (EEG). Several neurofeedback protocols exist, with potential additional benefit from use of quantitative electroencephalography (QEEG) or functional magnetic resonance imaging (fMRI) to localize and personalize treatment. Related technologies include functional near-infrared spectroscopy-mediated (fNIRS) neurofeedback, hemoencephalography biofeedback (HEG), and fMRI biofeedback.

<span class="mw-page-title-main">Event-related potential</span> Brain response that is the direct result of a specific sensory, cognitive, or motor event

An event-related potential (ERP) is the measured brain response that is the direct result of a specific sensory, cognitive, or motor event. More formally, it is any stereotyped electrophysiological response to a stimulus. The study of the brain in this way provides a noninvasive means of evaluating brain functioning.

<span class="mw-page-title-main">Brain–computer interface</span> Direct communication pathway between an enhanced or wired brain and an external device

A brain–computer interface (BCI), sometimes called a brain–machine interface (BMI) or smartbrain, is a direct communication pathway between the brain's electrical activity and an external device, most commonly a computer or robotic limb. BCIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions. They are often conceptualized as a human–machine interface that skips the intermediary component of the physical movement of body parts, although they also raise the possibility of the erasure of the discreteness of brain and machine. Implementations of BCIs range from non-invasive and partially invasive to invasive, based on how close electrodes get to brain tissue.

Neurotechnology encompasses any method or electronic device which interfaces with the nervous system to monitor or modulate neural activity.

The sensorimotor rhythm (SMR) is a brain wave. It is an oscillatory idle rhythm of synchronized electric brain activity. It appears in spindles in recordings of EEG, MEG, and ECoG over the sensorimotor cortex. For most individuals, the frequency of the SMR is in the range of 7 to 11 Hz.

Alpha waves, or the alpha rhythm, are neural oscillations in the frequency range of 8–12 Hz likely originating from the synchronous and coherent electrical activity of thalamic pacemaker cells in humans. Historically, they are also called "Berger's waves" after Hans Berger, who first described them when he invented the EEG in 1924.

<span class="mw-page-title-main">Mindball</span>

Mindball is created by the Swedish developer Interactive Productline IP AB.

<span class="mw-page-title-main">Ariel Garten</span> Canadian artist and scientist

Ariel Garten is a Canadian artist, scientist and intellectual known for her work in integrating art and science. She is the co-founder and former CEO of InteraXon.

NeuroSky, Inc. is a manufacturer of brain-computer interface (BCI) technologies for consumer product applications, which was founded in 2004 in Silicon Valley, California. The company adapts electroencephalography (EEG) and electromyography (EMG) technology to fit a consumer market within a number of fields such as entertainment, education, automotive, and health.

There are various consumer brain–computer interfaces available for sale. These are devices that generally use an electroencephalography (EEG) headset to pick up EEG signals, a processor that cleans up and amplifies the signals, and converts them into desired signals, and some kind of output device.

<span class="mw-page-title-main">Electroencephalography</span> Electrophysiological monitoring method to record electrical activity of the brain

Electroencephalography (EEG) is a method to record an electrogram of the spontaneous electrical activity of the brain. The biosignals detected by EEG have been shown to represent the postsynaptic potentials of pyramidal neurons in the neocortex and allocortex. It is typically non-invasive, with the EEG electrodes placed along the scalp using the International 10–20 system, or variations of it. Electrocorticography, involving surgical placement of electrodes, is sometimes called "intracranial EEG". Clinical interpretation of EEG recordings is most often performed by visual inspection of the tracing or quantitative EEG analysis.

<span class="mw-page-title-main">Wearable technology</span> Clothing and accessories incorporating computer and advanced electronic technologies

Wearable technology is any technology that is designed to be used while worn. Common types of wearable technology include smartwatches and smartglasses. Wearable electronic devices are often close to or on the surface of the skin, where they detect, analyze, and transmit information such as vital signs, and/or ambient data and which allow in some cases immediate biofeedback to the wearer.

<span class="mw-page-title-main">Magnetomyography</span>

Magnetomyography (MMG) is a technique for mapping muscle activity by recording magnetic fields produced by electrical currents occurring naturally in the muscles, using arrays of SQUIDs. It has a better capability than electromyography for detecting slow or direct currents. The magnitude of the MMG signal is in the scale of pico (10−12) to femto (10−15) Tesla (T). Miniaturizing MMG offers a prospect to modernize the bulky SQUID to wearable miniaturized magnetic sensors.

Emotiv Inc. is a privately held bio-informatics and technology company developing and manufacturing wearable electroencephalography (EEG) products including neuroheadsets, software development kits (SDK), software, mobile apps, and data products. Founded in 2011 by Tan Le and Geoff Mackellar, the company is headquartered in San Francisco, U.S.A. with facilities in Sydney, Hanoi and Ho Chi Minh City.

<span class="mw-page-title-main">Ear-EEG</span>

Ear-EEG is a method for measuring dynamics of brain activity through the minute voltage changes observable on the skin, typically by placing electrodes on the scalp. In ear-EEG, the electrodes are exclusively placed in or around the outer ear, resulting in both a much greater invisibility and wearer mobility compared to full scalp electroencephalography (EEG), but also significantly reduced signal amplitude, as well as reduction in the number of brain regions in which activity can be measured. It may broadly be partitioned into two groups: those using electrode positions exclusively within the concha and ear canal, and those also placing electrodes close to the ear, usually hidden behind the ear lobe. Generally speaking, the first type will be the most invisible, but also offer the most challenging (noisy) signal. Ear-EEG is a good candidate for inclusion in a hearable device, however, due to the high complexity of ear-EEG sensors, this has not yet been done.

NeuroIntegration Therapy (NIT) is a non-invasive combination therapy that integrates quantitative electroencephalography (qEEG or QEEG) brain mapping with additional therapies such as neurofeedback, vibroacoustic therapy, pulsed electromagnetic field therapy (PEMFT, or PEMF therapy) and photic stimulation (light therapy.)

References

  1. Baig, Edgar C. (August 12, 2014). "Brainy Muse headband: Wearable tech to calm you down". USA Today . Retrieved August 2, 2016.
  2. 1 2 O'Rourke, Patrick (April 14, 2015). "Can Toronto-based InterAxon's brain-sensing headband Muse help people relax?". Financial Post . Retrieved Jun 23, 2019.
  3. "Company Overview of InteraXon Inc". Bloomberg. Retrieved 2019-06-23.
  4. "Tech Giant "Father of Wearable Tech" Steve Mann "Goes for The Ride" to YYD ROBO!". us.yydrobo.com. 2017-07-31. Retrieved 2019-06-23.
  5. Futurist, Nikolas Badminton (2014-11-11). "Father of Wearable Computing, Steve Mann, to Keynote FITC Wearables, Toronto, November 13th". Medium. Retrieved 2019-06-23.
  6. Stu Robarts (March 11, 2015). "Hands-on: Staying focused (or not) with the Muse brain-sensing headband". New Atlas. Retrieved 2019-06-23.
  7. "Muse Headband Review: A Fitbit for Your Brain". Re/code. 2014-11-06. Retrieved 2015-11-09.
  8. Krigolson, Olave E.; Williams, Chad C.; Norton, Angela; Hassall, Cameron D.; Colino, Francisco L. (2017-03-10). "Choosing MUSE: Validation of a Low-Cost, Portable EEG System for ERP Research". Frontiers in Neuroscience. 11: 109. doi: 10.3389/fnins.2017.00109 . ISSN   1662-453X. PMC   5344886 . PMID   28344546.
  9. Bashivan, Pouya; Rish, Irina; Heisig, Steve (2016). "Mental state recognition via Wearable EEG". arXiv: 1602.00985v2 [cs.CV].
  10. Gray, Sarah N. (August 2017). "An Overview of the Use of Neurofeedback Biofeedback for the Treatment of Symptoms of Traumatic Brain Injury in Military and Civilian Populations". Medical Acupuncture. 29 (4): 215–219. doi:10.1089/acu.2017.1220. ISSN   1933-6586. PMC   5580369 . PMID   28874922.
  11. Ijjada, Mohan Sai; Thapliyal, Himanshu; Caban-Holt, Allison; Arabnia, Hamid R (Dec 2015). "Evaluation of Wearable Head Set Devices in Older Adult Populations for Research". 2015 International Conference on Computational Science and Computational Intelligence (CSCI). Las Vegas, NV, USA: IEEE. pp. 810–811. doi:10.1109/CSCI.2015.158. ISBN   9781467397957. S2CID   14790556.
  12. Gang, Peng; Hui, Jiang; Stirenko, S.; Gordienko, Yu.; Shemsedinov, T.; Alienin, O.; Kochura, Yu.; Gordienko, N.; Rojbi, A. (2019). Arai, Kohei; Kapoor, Supriya; Bhatia, Rahul (eds.). User-Driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities. Vol. 886. Cham: Springer International Publishing. pp. 612–631. arXiv: 1704.05915v2 . doi:10.1007/978-3-030-03402-3_43. ISBN   9783030034016. S2CID   15355091.
  13. Liu, Ran; Peli, Eli; Hwang, Alex D. (2017-01-29). "Measuring visually induced motion sickness using wearable devices". Electronic Imaging. 2017 (14): 218–223. doi:10.2352/ISSN.2470-1173.2017.14.HVEI-147. ISSN   2470-1173.
  14. Brannock, Evelyn; Lutz, Robert (Dec 2016). "On the Couch with Android and Muse: Nifty Assignment". J. Comput. Sci. Coll. 32 (2): 211–213. ISSN   1937-4771.
  15. Garcia, Alfredo; Gonzalez, Juan Manuel; Palomino, Amparo (2019). Agredo-Delgado, Vanessa; Ruiz, Pablo H. (eds.). Data Acquisition System for the Monitoring of Attention in People and Development of Interfaces for Commercial Devices. Vol. 847. Cham: Springer International Publishing. pp. 83–97. doi:10.1007/978-3-030-05270-6_7. ISBN   9783030052690. S2CID   58393847.
  16. "Muse The Brain Sensing Headband Review". Tune into Gold. Retrieved 2016-03-30.
  17. "Muse review: The brain sensing headband that knows you're stressed". Wareable. 2015-04-21. Retrieved 2015-11-09.

Further reading