DocumentCode :
3251748
Title :
CTAGGER: Semi-structured community tagging for annotation and data-mining in event-rich contexts
Author :
Rognon, Thomas ; Strautman, Rebecca ; Jett, Lauren ; Bigdely-Shamlo, Nima ; Makeig, Scott ; Johnson, Tyler ; Robbins, Kay
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at San Antonio, San Antonio, TX, USA
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
5
Lastpage :
8
Abstract :
Analysis of dynamic brain imaging data from EEG, MEG or fMRI requires a common temporal context to enable meta-analysis and data mining across experiments. However, there is no standardized method of annotating events, even from laboratory experiments in controlled settings, and the event-rich environments of real-world brain imaging present a still greater annotation challenge. We have developed a MATLAB toolbox called CTAGGER to enable a user-friendly, semi-structured and expandable strategy for event annotation in dynamic brain imaging and other time-series. To facilitate common labeling and comparison across data collections and laboratories, an individual´s annotation can be collected in a common community database to encourage annotation reuse. The tools allow the creation of multiple event overlays to facilitate the reuse and combination of brain imaging data for multiple analyses.
Keywords :
biomedical MRI; brain; data acquisition; data analysis; data mining; electroencephalography; human computer interaction; information retrieval; magnetoencephalography; medical computing; meta data; social networking (online); time series; CTAGGER; EEG; MEG; Matlab toolbox; data annotation; data collection; data mining; dynamic brain imaging data analysis; event annotation reusability; expandable strategy; fMRI; meta analysis; semi-structured community tagging; time series; user friendly strategy; Electroencephalography; Laboratories; MATLAB; Roads; Shape; Vehicles; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GlobalSIP.2013.6736797
Filename :
6736797
Link To Document :
بازگشت