TY - GEN
T1 - SigMate
T2 - A MATLAB-based neuronal signal processing tool
AU - Mahmud, Mufti
AU - Bertoldo, Alessandra
AU - Girardi, Stefano
AU - Maschietto, Marta
AU - Vassanelli, Stefano
PY - 2010
Y1 - 2010
N2 - Advances in neuronal probe technology to record brain activity have posed a significant challenge in performing necessary processing and analysis of the recorded data. To be able to infer meaningful conclusions from the recorded signals through these probes, sophisticated signal processing and analysis tools are required. This paper presents a MATLABbased novel tool, 'SigMate', capable of performing various processing and analysis incorporating the available standard tools and our in-house custom tools. The present features include, data display (2D and 3D), baseline correction, stimulus artifact removal, noise characterization, file operations (file splitter, file concatenator, and file column rearranger), latency estimation, determination of cortical layer activation order, spike detection, spike sorting, and are gradually growing. This tool has been tested extensively for the recordings using the standard micropipettes as well as implantable neural probes based on EOSFETs (Electrolyte-Oxide-Semiconductor Field Effect Transistors) and will be made available to the community shortly.
AB - Advances in neuronal probe technology to record brain activity have posed a significant challenge in performing necessary processing and analysis of the recorded data. To be able to infer meaningful conclusions from the recorded signals through these probes, sophisticated signal processing and analysis tools are required. This paper presents a MATLABbased novel tool, 'SigMate', capable of performing various processing and analysis incorporating the available standard tools and our in-house custom tools. The present features include, data display (2D and 3D), baseline correction, stimulus artifact removal, noise characterization, file operations (file splitter, file concatenator, and file column rearranger), latency estimation, determination of cortical layer activation order, spike detection, spike sorting, and are gradually growing. This tool has been tested extensively for the recordings using the standard micropipettes as well as implantable neural probes based on EOSFETs (Electrolyte-Oxide-Semiconductor Field Effect Transistors) and will be made available to the community shortly.
KW - Local field potentials
KW - Neuronal activity
KW - Neuronal signal analysis
KW - Neuronal signal processing
KW - Signal analysis software
UR - https://www.scopus.com/pages/publications/78650802055
U2 - 10.1109/IEMBS.2010.5626747
DO - 10.1109/IEMBS.2010.5626747
M3 - Conference contribution
C2 - 21096329
AN - SCOPUS:78650802055
SN - 9781424441235
T3 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
SP - 1352
EP - 1355
BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
ER -