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
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;
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on
Conference_Location :
Turin
DOI :
10.1109/MeMeA.2015.7145227