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As the fast-development of artificial intelligence and modern medical technology, the real-time monitor of vital signs of critical ill patients has become a hot topic in the field of medical research, and receives a wide range of attention. hereby present a new anomaly judgment method of vital signs of critical ill patients. This method first strengthen the vital signs signal, raise the intension vital signs signal, then use the low-pass filter to filter the high-frequency noise on the basis of differences in different frequency domain between vital signs signal and interfering noise, use the differences under statistical characteristics of normal condition and anomaly condition of vital signs signal of critical ill patients as standard, and then determine whether the vital signs signal of patients is normal or not. Finally, simulation experiments show that the algorithm is better than other traditional algorithms in accuracy.

A New Anomaly Judgment Method of Vital Signs of Critical Ill Patients