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SILVA, A.C.S. Digital signal processing techniques applied to bovine brain electrical activity monitoring. 2005. 91 f. M.Sc. Dissertation – Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de Sao Paulo, Pirassununga, 2005. Acquisition of brain electrical activity from grown bovines, using a telemetric data transmitter system and scalp electrodes, was evaluated in this work. Electrodes placement, different artifact removal methodologies and signal frequency component were studied. Artifacts removal was carried out in two different ways: (1) by means of a filter that replaced elevated amplitude points for the signal’s mean value and (2) decomposition using wavelet multiresolution capability. Results using filters show that only artifact-free signal stretches can be processed. The processing indicated that frequency ranges are in agreement with literature. The methodology applied in this work is enough to conclude that it is possible to analyze brain electrical signal from grown bovines that can move freely, without add restrain stress factors to experiment. Key-words: EEG, power spectral density, heat stress, wavelets, digital filters, bovines.

Aplicação de técnicas de processamento digital de sinais na caracterização de sinais cerebrais de bovinos