Data Fusion Algorithms in Multi-parameter Patient Monitoring
The current used alarm mechanism in patient monitoring is threshold based on single physiological signal which generates a huge number of false alarms. This could increase the workload of the caregivers and increase the life threatening risk. In principle, multi-parameter patient monitoring provides significant advantages over single-parameter monitoring, especially for highly intricate medical diseases and symptoms, which usually involve the correlated rhythms and changes of a set of physiological behaviors. In addition to the statistical advantage gained by combining same-source data, the use of multiple types of physiological information may increase the accuracy with which a quantity can be characterized.