Design of a Smart System for Treatment of Hemorrhagic Shock in Prehospital Settings

Abstract:

Hemorrhagic shock (HS) is a leading cause of death in both military and civilian settings. Fluid resuscitation is the most effective way for treating HS, but under and over resuscitation often occur due to the limited medical personal and experience. To improve the situation, we design a smart system and conduct animal experiments in order to verify whether the system is effective than traditional resuscitation method. A hemorrhage-resuscitation dog model is established and eighteen male mongrel dogs are randomly divided into three groups. The control group receives only intubation while the other two experimental groups receive resuscitation either with traditional method (TM) or with the smart resuscitation method (SRM). The results show that the SRM group maintains the target blood pressure for a longer time and has a compelling effect on reducing fluid needs compared with the TM group. The blood gas analysis also shows better in the SRM group. According to the experiments, the system conducts better results for prehospital treatment of HS, especially when medical supplies and expertise is limited or delayed. Therefore, it might play a role for battlefield and civilian occasions.

• Periodical: Applied Mechanics and Materials (Volumes 738-739)
• Pages: 242-246
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.738-739.242
• Online since: March 2015
• Authors: Heng Zhi Lu, Chun Fei Wang, Dan Wang, Hai Tao Wang, Xiao Yuan Tian, Tai Hu Wu*
• Keywords: Fluid Resuscitation, Fuzzy Logic, Hemorrhagic Shock, Prehospital Settings, Smart System

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