Development of an Innovative Algorithm for Accurate Measurement of Human Blood Pressure

In the present paper, we have developed an innovative algorithm to improve the oscillometric waveform detection to increase the measurement of blood pressure (BP) accuracy. Most of the techniques for BP measurement are based on the extraction of the oscillometric waveform (OMW) from baseline pressure generated in the cuff. The physiological changes in the human body provide irregular shapes, magnitudes, and patterns in OMW. Besides human physiological activities, motion artifacts may affect the OMW during the BP measurement. The BP measurement using direct extraction followed by envelope construction shows significant errors beyond the permissible limits. To rectify this problem, a new algorithm is required. This work demonstrates a novel algorithm to improve OMW by creating a zero baseline. The proposed algorithm is performed on low to high BP values, giving better results than the conventional algorithm used on OMW. The systolic and diastolic values of blood pressure obtained from the developed algorithm are within the error limits of international protocol, i.e., American Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization (AAMI/ESH/ISO).