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Particle Swarm Optimization based Stroke Volume Influence on Mean Arterial Pressure

The mean arterial pressure is very important parameter for physicians to diagnose various cardiovascular diseases. There are many algorithms, with different accuracy, to estimate arterial blood pressure that used different factors such as blood level, pulses and external applied pressure, photo-plethysmography signal features, heart rate and other factors. This paper develops an algorithm; which utilizes the heart rate with considering stroke volume (SV) influence; to estimate the mean arterial pressure. The SV influence is computed by particle swarm optimization technique. This new algorithm has developed relayed on twenty cases of mimic database; ten cases for training and all cases for verification. This algorithm achieved encouragement results and get very close estimated MAP to the real MAP.