Respiration detection on freely moving rats using linear models

An algorithm aiming at identifying the respiratory frequency of freely moving rats is presented underneath. This algorithm involves two different procedures. The first procedure multiplexes the four output signals delivered by the sensor. The goal of this processing is to reduce the strong influence of the movements on the signals. The resulting signal is then decomposed into two subbands. The second procedure is a spectral analysis based on an auto regressive model obtained through a singular value decomposition of a segment of signal. The algorithm appears to be robust even if the respiration signal is completely lost in the signals from the movements