title: SigMate: A MATLAB-based neuronal signal processing tool.
abstract: 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 MATLAB-based 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.
authors.affiliation: NeuroChip Laboratory of Department of Human Anatomy & Physiology and Department of Information Engineering, University of Padova, 35131, Italy. mahmud@dei.unipd.it
authors.forename: Mufti
authors.initials: M
authors.lastname: Mahmud
authors.forename: Alessandra
authors.initials: A
authors.lastname: Bertoldo
authors.forename: Stefano
authors.initials: S
authors.lastname: Girardi
authors.forename: Marta
authors.initials: M
authors.lastname: Maschietto
authors.forename: Stefano
authors.initials: S
authors.lastname: Vassanelli
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D009474:Neurons / Q000502:physiology*; D011381:Programming Languages; D051381:Rats; D012815:Signal Processing, Computer-Assisted; D012984:Software