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

Systems and methods are provided for probabilistically estimating an individual's pulse rate in the presence of nontrivial noise spectra. The embodiments may include measuring a set of signals from aset 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; and applying a band-pass filter to the transformed signal to generate a filtered signal. The embodiments may also include identifying one or more peaks in the filtered signal; generating a set of one or moresample 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, wherein each library classifier is associated with a classification coefficient reflecting a degree of correlation between the library classifier and a known pulse rate profile. 提供了用于在存在非平凡噪声频谱的情况下，概率性地估计个体的脉搏率的系统和方法。实施例可以包含：从与装置相关联的组传感器测量组信号，该组信号包含从个体