A P300-based Quantitative Comparison between the Emotiv Epoc Headset and a Medical EEG Device

Duvinage, Matthieu; Castermans, T.; Dutoit, Thierry; Petieau, Mathieu; Hoellinger, Thomas; Saedeleer, C. De; Seetharaman, Karthik; Chéron, Guy

doi:10.2316/p.2012.764-071

Cited by 92 publications

(73 citation statements)

References 15 publications

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“…EPOC has been applied for recording evoked potentials such as SSVEP (steady-state visual evoked potential) [1] and P300 potential [2], [3]. However these recordings do not need any marker circuit since these evoked potentials do not require synchronisation between the EEG and the stimulus onset.…”

Section: Introductionmentioning

confidence: 99%

A marker circuit to enable recording of auditory evoked potential using a wireless EEG system (EPOC) and a portable computer

Thie

2013

Preprint

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This paper describes a circuit that enables auditory evoked potential recordings using a wireless EEG device (Emotiv EPOC) and a portable computer as the stimulus machine. The need arises since neither the portable computer nor EPOC has serial/parallel ports to send/receive marker signals that indicate the stimulus onset. The circuit produces a pulse on the EEG channels when it detects an audio stimulus. First it amplifies the audio tones produced by the stimulus machine and detects their envelope. If the envelope exceeds the threshold, it will activate the emitter side of an optocoupler. This in turn switches on the photo-transistor of the optocoupler and produces a pulse that is electrically isolated from the stimulus machine. The pulse's amplitude is reduced to at most 300 microvolts using a voltage divider and is fed to a pair of the EEG channels. The delay between the output pulse and the onset of the 1 kHz audio tone is under 1 ms when the tone is instantly switched on and hence insignificant. Each of the two EEG channels was also biased to DRL via a 4.7 kohm resistor so that it is free from EEG and movement artifact. A marker circuit to enable recording of auditory evoked potential using a wireless EEG system (EPOC) and a portable computer PeerJ PrePrints Johnson Thie School of Electrical and Information EngineeringThe University of Sydney, AustraliaAbstract This paper describes a circuit that enables auditory evoked potential recordings using a wireless EEG device (Emotiv EPOC) and a portable computer as the stimulus machine. The need arises since neither the portable computer nor EPOC has serial/parallel ports to send/receive marker signals that indicate the stimulus onset. The circuit produces a pulse on the EEG channels when it detects an audio stimulus. First it amplifies the audio tones produced by the stimulus machine and detects their envelope. If the envelope exceeds the threshold, it will activate the emitter side of an optocoupler. This in turn switches on the photo-transistor of the optocoupler and produces a pulse that is electrically isolated from the stimulus machine. The pulse's amplitude is reduced to at most 300µV using a voltage divider and is fed to a pair of the EEG channels. The delay between the output pulse and the onset of the 1kHz audio tone is under 1ms when the tone is instantly switched on and hence insignificant. Each of the two EEG channels was also biased to DRL via a 4.7kΩ resistor so that it is free from EEG and movement artifact.

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Section: Introductionmentioning

confidence: 99%

A marker circuit to enable recording of auditory evoked potential using a wireless EEG system (EPOC) and a portable computer

Thie

2013

Preprint

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“…Emotiv headset [16]: A sensor headset by Emotiv is used for practical and commercial usage in research applications for brain computer interface. Emotiv heaset in our project is used to detect libraries such as mental commands, and facial expressions.…”

Section: Tools and Technology Usedmentioning

confidence: 99%

Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors

Gargava¹,

Asawa²

2017

IJIMAI

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A Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages-signal acquisition, pre-processing, feature extraction, classification and CUDA inter-facing. It shall aid in serving a prototype for physical movement of neurological patients who are unable to control or operate on their muscular movements. All stages of the pipeline are designed to process bodily actions like eye blinks to command navigation of the robot. This prototype works on features learning and classification centric techniques using support vector machine. The suggested pipeline, ensures successful navigation of a robot in four directions in real time with accuracy of 93 percent.

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“…In the MERCURY hybrid setup, frequency-based EEG data classification is performed both inside the Emotiv EPOC device [11] as well as on the PC accepting raw data, depending on the mode of operation. The PC supporting the MERCURY hybrid system performs frequency-based analysis on selected channels and communicates results to the microcontroller operating the robotic arm, through a digital wired connection.…”

Section: The Dry Electrode Bci Headsetmentioning

confidence: 99%

Towards Brain-Computer Interface Control of a 6-Degree-of-Freedom Robotic Arm Using Dry EEG Electrodes

Astaras

Moustakas

Athanasiou

et al. 2013

Advances in Human-Computer Interaction

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Introduction. Development of a robotic arm that can be operated using an exoskeletal position sensing harness as well as a dry electrode brain-computer interface headset. Design priorities comprise an intuitive and immersive user interface, fast and smooth movement, portability, and cost minimization. Materials and Methods. A robotic arm prototype capable of moving along 6 degrees of freedom has been developed, along with an exoskeletal position sensing harness which was used to control it. Commercially available dry electrode BCI headsets were evaluated. A particular headset model has been selected and is currently being integrated into the hybrid system. Results and Discussion. The combined arm-harness system has been successfully tested and met its design targets for speed, smooth movement, and immersive control. Initial tests verify that an operator using the system can perform pick and place tasks following a rather short learning curve. Further evaluation experiments are planned for the integrated BCI-harness hybrid setup. Conclusions. It is possible to design a portable robotic arm interface comparable in size, dexterity, speed, and fluidity to the human arm at relatively low cost. The combined system achieved its design goals for intuitive and immersive robotic control and is currently being further developed into a hybrid BCI system for comparative experiments.

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A P300-based Quantitative Comparison between the Emotiv Epoc Headset and a Medical EEG Device

Cited by 92 publications

References 15 publications

A marker circuit to enable recording of auditory evoked potential using a wireless EEG system (EPOC) and a portable computer

A marker circuit to enable recording of auditory evoked potential using a wireless EEG system (EPOC) and a portable computer

Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors

Towards Brain-Computer Interface Control of a 6-Degree-of-Freedom Robotic Arm Using Dry EEG Electrodes

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