DocumentCode
717411
Title
A software-based platform for multichannel electrophysiological data acquisition
Author
Frigo, G. ; Rubega, M. ; Lezziero, G. ; Fontana, R. ; Cecchetto, C. ; Vassanelli, S. ; Sparacino, G. ; Bertocco, M.
Author_Institution
Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
fYear
2015
fDate
7-9 May 2015
Firstpage
353
Lastpage
358
Abstract
Recent improvements in microelectrodes technology have enabled neuroscientists to record electrophysiological signals from hundreds of neurons and simultaneously from a large number of channels. However, several environmental factors may introduce noise and artefacts and affect proper interpretation of recordings. Thus, the development of appropriate signal acquisition and processing platforms dealing with large data sets and in real-time represents a current fundamental challenge. In the present work, we present an easily-expandable Lab VIEW based software for handling data in real-time during a multichannel neurophysiological signal acquisition. The software was designed to exploit modern MultiCore CPUs for large scale data processing and, by freely setting key acquisition parameters, to work with virtually any kind of biological signal. The software allows for data storage in MATLAB format to facilitate off-line signal processing. Examples of local field potential signal acquisitions from the mouse hippocampus are reported to illustrate software features.
Keywords
bioelectric potentials; biomedical electrodes; data acquisition; data handling; medical signal detection; microelectrodes; neurophysiology; Lab VIEW based software; MATLAB format; MultiCore CPU; artefacts; biological signal; data handling; data storage; electrophysiological signal; environmental factors; large scale data processing; local field potential signal acquisitions; microelectrode technology; mouse hippocampus; multichannel electrophysiological data acquisition; multichannel neurophysiological signal acquisition; neuroscientists; noise; off-line signal processing; signal acquisition platform; signal processing platform; software-based platform; Electrodes; Graphical user interfaces; IIR filters; Instruments; Memory; Real-time systems; Software; LabVIEW; electrophisiological data; local field potential; multichannel acquisition; real-time;
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on
Conference_Location
Turin
Type
conf
DOI
10.1109/MeMeA.2015.7145227
Filename
7145227
Link To Document