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This study evaluates the respiratory rate from the signal of a single-axis accelerometer fixed at the top of the abdomen and for three types of breathing: slow, normal and fast. Different filters are applied and compared to determine the most accurate method to extract this information. The results showed that the use of a third- order low pass Butterworth filter following an initial estimate of the respiratory rate was the most accurate method. This study demonstrates the potential of the accelerometer as a low-cost, non- intrusive method of screening for sleep disorders and patients follow- up