The invention relates to a blood
oxygen content
estimation method based on binary sensor bounded recursive optimization fusion, which comprises the steps: establishing a blood
oxygen content dynamic
physiological model, analyzing effective information in binary sensor measurement, and obtaining an actual measurement model; designing a local bounded recursive optimization estimator, giving an upperbound of a local
estimation error square, ensuring that the upper bound is established, minimizing the upper bound of the local
estimation error square to construct an
optimization problem with constraints, and designing an optimal local estimation
gain by solving the
optimization problem; designing a distributed bounded recursive optimization fusion estimator for estimating the blood
oxygen content, and minimizing the upper bound of the estimation error square to design an optimal fusion weight matrix. The invention provides a blood
oxygen content distributed fusion estimation method based on bounded recursive optimization and the binary sensor, and the real-time noninvasive estimation of the blood
oxygen content is achieved.