Title :
Listening to the music of the brain: Live analysis of ECoG recordings using digital audio workstation software
Author :
Milsap, Griffin ; Fifer, Matthew ; Crone, N. ; Thakor, Nitish
Author_Institution :
Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
A process is presented for analyzing electrocorticographic (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.
Keywords :
audio signal processing; brain; brain-computer interfaces; electrocardiography; filtering theory; DAW software; ECoG recording analysis; Renoise software; audio output; brain computer interface prototyping; digital audio workstation software; drag-and-drop blocks; easy-to-use-intuitive environment; electrocorticographic recording analysis; envelope extraction; filtering; functional mapping analysis; high-frequency features; low-level signal processing algorithms; processed signals; qualitative activation; raw signals; real-time exploratory analysis; real-time performance; sonifications; visual representations; MATLAB; Microelectrodes; Production; Real-time systems; Speech;
Conference_Titel :
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location :
San Diego, CA
DOI :
10.1109/NER.2013.6696026