TY - GEN
T1 - Listening to the music of the brain
T2 - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
AU - Milsap, Griffin
AU - Fifer, Matthew
AU - Crone, Nathan
AU - Thakor, Nitish
PY - 2013/12/1
Y1 - 2013/12/1
N2 - A process is presented for analyzing electrocor-ticographic (ECoG) recordings and prototyping brain computer interfaces in which complex signal processing chains are able to be rapidly developed and iterated in digital audio workstation (DAW) software. DAW software includes many built-in 'drag and drop' blocks that perform common, low-level signal processing algorithms such as filtering and envelope extraction. In addition to being optimized for real-time performance, DAW software also produces audio output, allowing for listening to raw and processed signals. Hearing these sonifications can impart new insights that may not be apparent in purely visual representations. A simple functional mapping analysis is performed in a DAW called Pure Data and compared to the results from a more traditional spatiotemporal analysis in MATLAB. Channels exhibiting qualitative activation in the resulting functional maps were further analyzed in another DAW called Renoise, wherein several high frequency (i.e., >400 Hz) features were observed. This study demonstrates an example use of DAW software, which we suggest is an easy-to-use and intuitive environment for real-time exploratory analyses and sophisticated sonification of ECoG recordings.
AB - A process is presented for analyzing electrocor-ticographic (ECoG) recordings and prototyping brain computer interfaces in which complex signal processing chains are able to be rapidly developed and iterated in digital audio workstation (DAW) software. DAW software includes many built-in 'drag and drop' blocks that perform common, low-level signal processing algorithms such as filtering and envelope extraction. In addition to being optimized for real-time performance, DAW software also produces audio output, allowing for listening to raw and processed signals. Hearing these sonifications can impart new insights that may not be apparent in purely visual representations. A simple functional mapping analysis is performed in a DAW called Pure Data and compared to the results from a more traditional spatiotemporal analysis in MATLAB. Channels exhibiting qualitative activation in the resulting functional maps were further analyzed in another DAW called Renoise, wherein several high frequency (i.e., >400 Hz) features were observed. This study demonstrates an example use of DAW software, which we suggest is an easy-to-use and intuitive environment for real-time exploratory analyses and sophisticated sonification of ECoG recordings.
UR - http://www.scopus.com/inward/record.url?scp=84897734578&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897734578&partnerID=8YFLogxK
U2 - 10.1109/NER.2013.6696026
DO - 10.1109/NER.2013.6696026
M3 - Conference contribution
AN - SCOPUS:84897734578
SN - 9781467319690
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 682
EP - 685
BT - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Y2 - 6 November 2013 through 8 November 2013
ER -