Mathematical modeling of heart rate tracking in motion affected PPG signals.

ABSTRACT: Heart rate tracking using Photoplethysmography (PPG) suffers from motion artifacts, which can change signal structure in a way that the spectral peak due to motion artifacts (MAs) can mask the actual peak related to the heart rate. To handle the problem just mentioned, a novel mathematical model for heart rate (HR) tracking is introduced. Our technique is based on a mathematical model for a multichannel PPG. The model uses a fixed-resolution spectrum of Fast Fourier Transform (FFT), Chirplet Z Transform (CZT) spectra at various resolutions, confinement of spectral space, previous heart rate, range of the signal, and a golden seed (GS) algorithm to generate the next heart rate. GS algorithm is a novel technique which is introduced to handle the masking of spectral peaks related to HRs. The

SUBMITTER: Ismail S 

PROVIDER: S-EPMC12615614 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature