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- The latency of EMOTIV data streams
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EmotivPRO
- Emotiv data for qEEG interpretation
- Understanding the Difference Between EmotivPRO and the Cortex SDK
- Can I analyze EEG with Matlab or EEGlab?
- Why are beta waves split into low beta and high beta in EmotivPRO, while others are not?
- How to import EDF files from EmotivPRO into EEGLAB
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- Emotiv data for qEEG interpretation
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- Everything you need to know about reference sensors of EMOTIV hardware
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- How to stream EEG data from EMOTIV to TouchDesigner
- Helping People with Disabilities Communicate Through EMOTIV Technology
- Understanding the signal processing and machine learning capabilities of the EmotivBCI platform
- Does EEG Quality (EQ) degrade over time during extended recordings, and how can it be maintained?
- Understanding the Difference Between EmotivPRO and the Cortex SDK
- Can I analyze EEG with Matlab or EEGlab?
- Can EMOTIV products be used to track epilepsy?
- Does EMOTIV offer a neurofeedback application?
- Do we have some value to depict the level of drowsiness or alertness?
- What data streams does Emotiv provide?
- How does EPOC compare to other clinical EEG systems?
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General Issues
- How to achieve a longer range with EMOTIV USB Receiver?
- I don’t have a Bluetooth(R) SMART (BTLE) compatible device, what do I do?
- Is there any advantage in using the Emotiv Universal USB receiver?
- Why am I seeing dropouts while using Emotiv USB Receiver with the EMOTIV headsets?
- Tips for getting good contact quality with the EMOTIV Headset
- How do I clean the INSIGHT Headset and sensors?
- How to make Primer Fluid for Insight and Saline solution for Epoc X & Flex?
- How to embed ECG and EOG electrodoes/systems with EPOC Flex
- Difference between Flex Saline sensors and Flex Gel sensors
- Advancing High-Density EEG Research with Flex
- Tips to achieve good signal quality with long and thick hair and EPOC X or Flex Saline?
- How to clean Epoc Flex Sensors and Flex Cap
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EmotivPRO
- Emotiv data for qEEG interpretation
- Why is my EEG quality flickering in EmotivPRO?
- How to submit Feedback via EmotivPRO for issue investigation
- What is EEG Quality in the EmotivPRO?
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- Quick Start Guide and User Manual
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What is EEG Quality in the EmotivPRO?
Description For EEG Quality
EEG Quality (EQ) has been built to give you an easy way to assess whether you are recording high-quality brain signals or not. Basically, it is a scoring system for the quality of the signal in each sensor. Each sensor is given a black, red, orange, light green, or dark green color to indicate the quality of the EEG signal for that specific sensor.
Overall EEG Quality as displayed in your EMOTIV application is presented as a score of 0-100. This number makes it easy to understand the quality of your signal at a glance. How do we calculate it? See below.
How is EEG Quality Different to Contact Quality?
Contact Quality is a simple measurement of the impedance of the channel. While this measurement is used widely in neuroscience and medical settings, it is really only a useful reading to a trained EEG professional and does not give the full picture of the quality of the signal. Signals that have low impedance are not necessarily brain signals - and you might have found that sitting your headset on the table can produce a false positive - leading the user to falsely believe they are recording high-quality brain data.
Okay, but what actually is EQ?
EEG Quality is a machine-learning trained algorithm that automatically determines the quality of the signal based on multiple metrics. Each of these metrics is important in assessing whether the recording data accurately captures the underlying brain signal. These metrics include:
- Contact Quality (CQ) (as above) - an impedance measurement that indicates the quality of the electrical signal passing through the sensors and the reference. It can be one of 4 values: 0 - very bad (black), 1 - bad (red), 2 - ok (orange) and 4 - good (green).
- ML Signal Quality (SQ): A machine learning algorithm trained on high quality EEG recordings that were assessed and collected by the EMOTIV Research team. TheSignal Quality algorithm assess data over 2 seconds and is scored 0 - very bad (black), 1 - bad (red), 3 (light green) and 4 -good (dark green).
- Signal Magnitude Quality (SMQ): A measure of the signal amplitude. Sometimes, the above metrics i.e. CQ, SQ are good but the signal amplitude is very small and therefore small power fluctuations in the FFT would be undetectable. Often, this is due to poor sensor hydration or poor scalp contact. SMQ gives scores for the average signal magnitude within a 2 second epoch. The scores can be 0 - very low (black), 1 - low (red), 4 - ok (green).
Each of these metrics is important in determining the quality of the signal, therefore the sensor color will not be dark green unless all of these metrics have a “good” score of 4. The “EQ Map” UI in your EMOTIV software displays the minimum score of any of these metrics. The resulting EQ Score for each channel can be 0,1,2,3,4 corresponding to the colors black, red, orange, light green, and dark screen, respectively.
How is Overall EQ Calculated?
Overall EQ is calculated and displayed as a number out of 100 so you can see your EEG Quality for all channels at a glance. Overall EQ is calculated as the sum of the worst 3 channels divided by the sum of the maximum score of these 3 channels, as a percentage. The resulting mathematical formula is (min1 + min2 + min3 / 12) * 100.
Updated on 26 Apr 2024
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