SYSTEMS AND METHODS FOR PROBABILISTIC PULSE RATE ESTIMATION FROM PHOTOPLETHYSMOGRAPHIC MEASUREMENTS IN THE PRESENCE OF NONSTATIONARY AND NONTRIVIAL SIGNAL AND NOISE SPECTRA

摘要

The present disclosure relates to systems and methods for probabilistically estimating an individual's pulse rate in the presence of nontrivial noise spectra. In one implementation, the method may include receiving a set of signals from a set of sensors associated with the device, the set of signals including a photoplethysmographic (PPG) signal obtained from the individual; transforming the PPG signal to the frequency domain; applying a band-pass filter to the transformed signal to generate a filtered signal; identifying one or more peaks in the filtered signal; generating a set of one or more sample classifiers for each peak in the set of one or more peaks; and comparing the set of sample classifiers to a set of library classifiers included in a learning library. Each library classifier is associated with a classification coefficient reflecting a degree of correlation between the library classifier and a known pulse rate profile.