一种融合机器视觉与深度强化学习的全闭环麻醉智能给药方法
本发明公开了一种融合机器视觉与深度强化学习的全闭环麻醉智能给药方法,属于智能麻醉技术领域。该方法采集脑电双频指数、平均动脉压、心率及短波红外眼部视频;提取瞳孔直径比及变化率;利用Transformer编码器融合多模态特征;基于价值分解多智能体框架,混合网络动态分解联合Q值,协同决策丙泊酚与瑞芬太尼输注速率;多目标奖励函数驱动在线学习。本发明实现镇静、镇痛与血流动力学多目标全闭环协同控制,提升麻醉精准度与安全性。
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