I would not reccomend Emotiv. My first experiment was with one, and then we decided to switch to Enobio. Because Emotiv is rather a gaming than research equipment.
You can explore a product of Indian origin, please visit http://www.axxonet.com/medical/13-medical/28-brain-electro-scan-system-bess-eeg-psg-systems OR http://www.axxonet.com/13-medical/27-brain-electro-scan-system-bess-eeg-erp-systems as per your requirements / budget.
For analytic part, any software that provides FFT and / or Matlab usability (i.e, exportability to .txt / .mat file) will serve your purpose.
What are you planning to investigate? and how do you plan to analyze the signals. If you're planning to perform event related potentials, the sampling rate, bandpass characteristics and signal to noise will make a big difference.
OpenBCI is is using the quite advanced TI ADS1299 A/D converter chip at it's heart. And is also Arduino compatible. We now support many research applications such as OpenViBE, EEGLAB, BCILAB, MATLAB, LabStreamingLayer, LabVIEW, VVVV, PureData; APIs for Python, C#, Java, Processing, etc.
As well as a very active Forum community, which I help moderate.
8 and 16 channel version available.
http://openbci.com
http://openbci.com/index.php/forum/
http://www.ti.com/product/ads1299
Here is a 2016 paper comparing OpenBCI with a g.tec amplifier. Note also that since the paper was written, a wifi shield is now available for OpenBCI which increases sample rates above 250 hz for those applications needing that.
Conference Paper Comparison of an Open-hardware Electroencephalography Amplif...
The signal quality itself is fine for ERPs and most EEG, as long as subjects don't have incredibly thick hair.
The biggest problem w/ the system is timing w/ external triggers - it is unreliable if you use a secondary system for the stimulus paradigm. However, there are methods to post-hoc fix the timing inconsistencies and get good, reliable ERPS - see the above linked paper for examples.
IMO if you are on a tight budget, it's a great deal.
OpenBCI is great too, as mentioned it uses the ADS1299, a greatchipset - but you are left on your own to put the system together, work out methods for timing integration, etc. So expect a lot of investment in man hours.
How long are you planning to do the research for? One approach is to consider manufacturers of higher quality EEG systems that offer rental programs...
Hi Moyen. It's been some time since you made your question. Did you find out the best possible approach for your needs? My concern is to detect attention and meditation states, in a similar way to Neurosky Mindwave (https://store.neurosky.com/pages/mindwave)
Do you happen to know how to replicate the results obtained with the Neurosky hardware, please?
It depends on the jounal and the data analysis plan. If you plan to perform event related potential anaysis in clinical patients, I believe you'll have a hard time getting a publication accepted using emotiv. For non-medical research using power spectal analysis, it might be ok.
The “cheapest” is to write some code that executes a discrete Fourier transform. I have done that in C. However, one would need a very clean signal, devoid of EOG and motion artifacts.
Another interesting player is an ADS1299-based low cost bioamplifier, Signalino (www.signalino.com). 8 differential, high gain, low noise input channels, 24-bit channel data resolution, 5 GPIO pins, 3 of which can be Analog.
My master student bought EEG headset from amazon and its work very well. It track your brain activity, heart rate, breathing, and body movements, review the raw data, His project use the EEG signal to move the wheelchair. You can check this link
All the links opens for MUSE, you can check also other wireless devices like: EMOTIV, or OPENBCI. They are also of cheap price and have better results.
Muhammad Naufal Mansor Can you please tell how did you acquired realtime EEG data in PC from the Muse headset? Did you use LabVIEW or some other software?
Some devices are cheap but they don't guarantee your access to raw EEG data. OpenBCI is really helpful device compatible with various software! But you may face with some issues with dry electrodes.
G.tec provides devices in really great quality.
Also UNICORN makes acceptable devices.
Please consider type of output of your interested device.
it is important to know what you want to do, neurofeedback, research ... etc. depending on your answer, the device can be selected. I have seen good neurofeedback programs with devices with only 2 channels, 4 would be more than enough. 2 sensors for EEG, 1 for ECG and another for skin/respiration ... etc. If you want to investigate, it is possible that 12 channels and up. I would think that a very good option for neurofeedback and a good level of research is OpenBCI, it has a 16 channel device and they sell a very cheap research bundle. In the same way they have 8 channels..etc. The electrodes is a drawback, Bitbrain's Diadem product is great, they are dry and very precise electrodes. OpenBCI has a made of 3D printed plastic material and I understand it handles dry electrodes too, but the ergonomics is not very good compared to Diadem, which is great, but still, OpenBCI is a very good option.
The other point is the application in which you can gather the data sent by the sensor and understand it, which is very important depending on what you want to do. Bioexplorer is a very interesting application, it supports many devices, well known and not so expensive. they are currently updating it to work with OpenBCI, which is not currently supported with it. If you want to do QEEG, you need a comparative database that further interprets the data, that allows you to create protocols ... etc. And it is another cost. The device, the application, the database ... it all depends on what you really want to do?
From my point of view, the cheapest and most efficient solution for EEG, especially for the development of experimental Brain-computer Interface (BCI) prototypes, is the NeuroSky Mindwave Mobile portable and compact headset. The ThinkGear chip provides advanced functionality (embedded amplifiers and filters) that can be accessed by using different software implementations in Matlab, Python, LabVIEW, and others. Other features specific to NeuroSky are: (free) raw EEG data acquisition, EEG rhythms (delta, theta, alpha, beta, gamma) detection, and special meters for attention, meditation, and eye-blinking strength. NeuroSky Mindwave Mobile is accepted for scientific research. There are many published papers based on applications developed with NeuroSky headset.