Advancing the potential applications of photoplethysmography, an optical technique used to measure heart rate in cardiovascular and mental health monitoring, requires the analysis of complex nonlinear data from photoplethysmograms (PPGs). Circumventing traditional analytical methods of resolving the complex and dynamic PPG signals, researchers from Tokyo University of Science have used nonlinear analysis to determine the accuracy of dynamical features estimated using short PPG signals.