Fusion Estimation Method For Multiple Physiological Signals

During the clinical operations and ICU monitoring,not only the electrocardiogram(ECG)but also other physiological signals such as continuous arterial blood pressure(ABP),oxygen saturation(SO2),photoplethysmogram(PPG),respiration(RESP),electroencephalogram(EEG)and so on are monitored.For these multiple physiological signals that are recorded simultaneously,Combining information from them may improve the estimation ability for the heart rate and other physiological parameters.For instance,when the ECG waveform is poor for the various noise interferences,the simultaneously recorded continuous ABP and PPG may help calculate the heat rate and vice versa.MIT held two international challenges about the fusion estimation for multiple physiological signals that were recorded during the operations in 2014 and in the ICU in 2015 respectively.In this paper,some research works on fusion estimation methods for multiple physiological signals are conducted based on taking part in the two competitions.In chapter 2,we propose a fusion estimation algorithm for heart rate calculation based on ECG and ABP that are recorded simultaneously during the operations.In chapter 3,based on the ECG and pulsatile signals that are recorded in the ICU,we propose an algorithm to calculate the instantaneous heart rate(or the heart beats)for diagnosing the life threatening arrhythmias.Chapter 4 is about the testing softwares for chapter 2 and chapter 3 algorithms,and the main design ideas and realized functions are summed up in this chapter.Comparing our test results for the two challenges with other competitors,the fusion estimation method for multiple physiological signals that is proposed in this paper has been in advanced line among the competitors from all around the world.