基于智能决策算法的麻醉手术语音辅助系统

Pengfei Jia, Hongbo Yang
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引用次数: 0

摘要

目前,麻醉手术中使用的医疗设备大多仅对患者的某些生理指标提供显示和监测服务。它不能为医生做出明智的决定,也没有语音提醒。麻醉手术复杂多样,涉及各类患者。在操作过程中存在着许多突发性、紧迫性和不可控因素。由于注意力的限制,医生很容易忽视患者的生理指标和潜在的可疑症状,从而容易导致医疗事故。为了解决上述问题,我们提出了一种基于智能决策算法的麻醉手术语音辅助系统。首先实现来自不同监测设备的多种生理指标的数据融合,然后利用智能决策算法将融合后的数据作为决策建议输出,最后以语音的形式与医生完成人机交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech Assistant System for Anesthesia Surgery Based on Intelligent Decision Algorithm
Nowadays, most of the medical equipment used in anesthesia surgery only provide display and monitoring service for certain types of patient's physiological indicator. It cannot make intelligent decisions for doctors, nor does it have voice reminders. Anesthesia surgery is complex and diverse, involving all kinds of patients. There are many sudden, urgent, and uncontrollable factors in the operation process. It is easy for doctor to ignore patient's physiological indicators and potentially suspicious symptoms due to attention limitation, which can easily lead to medical accidents. In order to solve above problems, we propose a speech assistant system for anesthesia surgery based on intelligent decision algorithm. It firstly realizes data fusion of multiple types of physiological indicators from different monitoring equipment, then uses intelligent decision algorithm to output the fused data as decision-making suggestions, and finally completes human-machine interaction with doctors in form of speech.
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