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EMOTIV EPOC: 10 years of peer-reviewed research

EMOTIV EPOC: 10 years of peer-reviewed research

Commercially-made low-cost electroencephalography (EEG) devices have become increasingly available over the last decade, thanks to the ease in acquiring EEG signals outside the traditional laboratory setting. As one of the first portable EEG devices available to consumers, our wireless 14-channel headset, EMOTIV EPOC, demonstrated the feasibility of low-cost neuroimaging outside of research laboratories. Worldwide neuroscientists can conduct research with lower costs compared to traditional systems.

Since its first release in 2009, EMOTIV EPOC, as well as its successors EPOC+ and EPOC X, has been used around the world in a wide variety of settings. Its diverse applications include control of robotic limbs and wheelchairs, user authentication in security systems, identification of emotional states, and more. EMOTIV EPOC is proud to be recognized for its ability to collect research-grade data, ease of setup, and low price-point.

Nikolas Williams, Genevieve McArthur, and Nicholas Badcock from Macquarie University, Sydney, Australia, have researched and compiled some of the main peer-reviewed scientific publications which used EMOTIV EPOC/ EPOC+/ EPOC X over the last 10 years. The aim of the study was to provide an informed summary on the use of this device for scientific purposes based on the EMOTIV EPOC projects globally.

After identifying 382 relevant studies around the world, the study revealed the top five publishing countries: the United States, India, China, Poland, and Pakistan. The majority of studies used Emotiv EPOC for BCI purposes, followed by experimental research, validation of EPOC as an EEG device, improving EEG signal processing, and clinical purposes.

The results of the study clearly state that global researchers are embracing this EMOTIV Brainwear® technology.

Read on for the 10-year scoping review of this award-winning portable EEG device:

You can also check the thousands of peer-reviewed publications using EMOTIV solutions in Google Scholar.

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