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4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ The **ZEO headband**'s main purpose is to monitor your brainwaves during sleep,

The **Myndplay BrainbandXL** is build around a [NeuroSky ThinkGear chip](http://neurosky.com/products-markets/eeg-biosensors/hardware/) and a Bluetooth 4.0 module ([Blue Creation BC127](http://www.bluecreation.com/product_info.php?products_id=38)). The soft headband has 2 conductive-fabric electrodes (=only 1 channel) sitting on your forehead. In addition you clip a grounding electrode onto your ear, which becomes slightly uncomfortable after a while. Data is transmitted about once per second. Besides 8 frequency bands, the ThinkGear chip provides the proprietary eSense algorithms that define a *meditation* (relaxation) and *attention* (focus, concentration) level. These are very useful when wanting to achieve fast prototyping results. In addition the ThinkGear Communications Protocol can also detect eye blinks (not implemented here). To change between 50 and 60 Hz zones, a [solder spot](https://www.flickr.com/photos/evsc/15347233443/) must be changed on the ThinkGear chip.

**Muse** is the more advanced than the previous two, as it provides 4 signal channels (2 on your forehead, and 1 behind each of your ears) and also accelerometer data. The supplied MuseIO driver streams data via OSC. For each channel you get raw signal data, 6 frequency bands and also FFT spectrum data. In addtion it reports blink and jaw_clench events. The 50/60Hz filter can be set within the driver. As it is the most powerful, it also seems to be the most sensitive. You are advised to sit up straight and don't move around, while doing measurements. It really can take a long time to calibrate, but at least you catch a climpse of all the software processes that are necessary to receive reliable data.
**Muse** is the more advanced than the previous two, as it provides 4 signal channels (2 on your forehead, and 1 behind each of your ears) and also accelerometer data. The supplied MuseIO driver streams data via OSC. For each channel you get raw signal data, 6 frequency bands and also FFT spectrum data. In addition it reports blink and jaw_clench events. The 50/60Hz filter can be set within the driver. As it is the most powerful, it also seems to be the most sensitive. You are advised to sit up straight and don't move around, while doing measurements. It really can take a long time to calibrate, but at least you catch a glimpse of all the software processes that are necessary to receive reliable data.

**Emotiv Insight** provides 5 signal channels (2 on forehead, 1 behind each ear, and one on the back of head). Of all the headbands this one can get the most uncomfortable to wear, as you have to place multiple quite rigid sensors probes across your skull. It's often also hard to achieve good signal quality, they recommend to apply a saline solution to the electrodes for better conductivity. I haven't succeeded in getting the API to run on Ubuntu, therefore this repository doesn't contain any software for the Insight. Yet Emotiv has 2 quite good apps in the app store for interfacing with the headset.

Expand Down Expand Up @@ -208,4 +208,4 @@ In case of emergencies, these are the steps to do a hardware reset on the sensor
* Hold down button for 5 seconds so it is flashing
* Press twice
* Press again and hold until light goes off (~ 7 sec)
* Unplug from USB, and plug back in
* Unplug from USB, and plug back in