University of Denmark combines iPhone App and iPhone Device for research on Portable Real Time Brain Scan
”Holding your brain in the palm of your hand…”
At the Univeristy of Demark, research is being conducted on using the iPhone Smartphone, along with specially programmed software, and a specialized headset, to do portable, mobile brain scans. Of course, it is just in the beta stage, but goes to show the potential of this powerful little computer, known as a iPhone Smartphone.
See the following video to see how it works:
The system is a mobile, wireles, real-time brain scanner, and the software allows for wireless transmission to the Smartphone program, which receives the EEG-like transmissions from the various electrodes on the head. In their words:
“Our system provides a fully portable EEG based real-time functional brain scanner including stimulus delivery, data acquisition, logging, brain state decoding and 3D activity visualization. The software is realized in Qt. The raw EEG data is obtained from a wireless Emotiv 14 channel Neuroheadset with a sampling rate of 128Hz and electrodes positioned at AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4 (the international 10-20 system). The headset transmits the EEG data to a receiver module connected to a Nokia N900 phone. The binary data is decrypted directly on the phone, filtered and passed to the source reconstruction module that outputs the colors of model vertices for the visualization. The source reconstruction is performed over number of samples (default over 16 samples resulting in 8Hz visualization). The delay between the signal appearing in the headset and being visualized on the screen depends on the used source reconstruction window and is between 130 and 150 msec for 8Hz visualization. The framerate of the visualization (realized in OpenGL) is around 30fps.”
“The video demonstrates the smartphone brain scanner with the Emotiv 14-channel EEG headset worn by a subject and a real-time 3D brain reconstruction and activity visualization on the N900 smartphone.”
Source code and additional information is available on the smartphonebrainscanner2 project website.