Fuzzy pulse qualifier

The evaluation of sensory data in biomedical applications is the key to decision-making in diagnosing diseases, device control, and signal processing algorithms. One such process is the pulse evaluation, where descriptive features of a pulse, such as shape, height, and width can be used for analysis. In this paper, we develop a pulse qualifier based on fuzzy concepts. This pulse qualifier is specifically designed to serve multifunctional properties for the oscillometry, where pulse identification, elimination and evaluation can be very important. Quality assessment may be critical in both real-time for instance for the execution of a device, control algorithm etc., and for offline algorithms, for example classification of systolic, mean and diastolic blood pressure profiles. A large real pulse database is used to develop and test the pulse qualifier.