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

DOI

10.2991/icmmct-17.2017.212How to use a DOI?

Keywords

Vital signs signal, Enhanced processing, Abnormal judgment

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Han Zhang
AU  - Jianhong Ma
PY  - 2017/04
DA  - 2017/04
TI  - A New Anomaly Judgment Method of Vital Signs of Critical Ill Patients
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1063
EP  - 1066
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.212
DO  - 10.2991/icmmct-17.2017.212
ID  - Zhang2017/04
ER  -