TY - GEN
T1 - SigMate
T2 - 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
AU - Mahmud, Mufti
AU - Bertoldo, Alessandra
AU - Girardi, Stefano
AU - Maschietto, Marta
AU - Pasqualotto, Elisabetta
AU - Vassanelli, Stefano
PY - 2011
Y1 - 2011
N2 - This paper presents a comprehensive neuronal signal analysis and processing tool, SigMate, developed in Matlab, incorporating the available standard tools and our in-house custom tools. The present features include, data visualization (2D and 3D), slow stimulus artifact removal (including baseline correction), noise characterization, file operations (file splitting, concatenation, and column rearranging), latency estimation in local field potentials (LFPs), current source density (CSD) analysis, determination of cortical layer activation order (CLAO) from LFPs and CSDs, spike detection, spike sorting, single sweep LFP sorting, EEG based brain-machine interfacing (BMI), neuronal simulation environment, and are gradually growing. This tool has been extensively tested using signals recorded by the standard electrodes as well as implantable EOSFETs (Electrolyte-Oxide-Semiconductor Field Effect Transistors) based multisite neural probes and will be made available to the community shortly.
AB - This paper presents a comprehensive neuronal signal analysis and processing tool, SigMate, developed in Matlab, incorporating the available standard tools and our in-house custom tools. The present features include, data visualization (2D and 3D), slow stimulus artifact removal (including baseline correction), noise characterization, file operations (file splitting, concatenation, and column rearranging), latency estimation in local field potentials (LFPs), current source density (CSD) analysis, determination of cortical layer activation order (CLAO) from LFPs and CSDs, spike detection, spike sorting, single sweep LFP sorting, EEG based brain-machine interfacing (BMI), neuronal simulation environment, and are gradually growing. This tool has been extensively tested using signals recorded by the standard electrodes as well as implantable EOSFETs (Electrolyte-Oxide-Semiconductor Field Effect Transistors) based multisite neural probes and will be made available to the community shortly.
KW - Neuronal signal analysis
KW - Neuronal signal processing
KW - local field potentials
KW - neuronal activity
KW - signal analysis software
UR - https://www.scopus.com/pages/publications/79960381429
U2 - 10.1109/NER.2011.5910495
DO - 10.1109/NER.2011.5910495
M3 - Conference contribution
AN - SCOPUS:79960381429
SN - 9781424441402
T3 - 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
SP - 88
EP - 91
BT - 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
Y2 - 27 April 2011 through 1 May 2011
ER -