This study evaluates physiological states of organisms from a nonlinear system perspective. Taking the human body as an example, the running states of heart and blood vessels are obtained by collecting ECG and PPG signals, and the feature extraction of complex physiological signals is applied by chaotic attractor reconstructions. Digital life state monitoring will provide a solid basis for evaluating the state of living organisms, which could prompt development of living robots.
