作者: G. Yin , H. Wang , L.Y. Wang , H. Zheng
DOI: 10.1007/978-3-7908-2693-7_24
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摘要: This paper is concerned with identification for patient responses to anesthesia infusion in real time. The model parameters are first classified by expert assessment. initial then improved during the surgery using real-time data via a two-step recursive stochastic approximation and projected least-squares estimation algorithm.