The present work presents the usage of empirical mode decomposition algorithm for bio-radar data processing. The data processing algorithm is considered and the value of the threshold criteria is chosen according to the results of the experimental data processing. It is shown that preprocessing of raw bio-radar data, which compensate the difference in amplitude of breathing and heartbeat signals, increases the effectiveness of empirical mode decomposition algorithm in bio-radar data processing
