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宫缩量化技术与安全分娩:从基础研究到临床应用
Uterine contraction quantification technology and safe delivery:from basic research to clinical application
有效、安全的子宫收缩是分娩的核心动力,而传统宫缩评估方法的局限性,制约了产程产力的精准管理。无创子宫肌电图(uEMG)技术通过实时捕捉子宫平滑肌电活动特征,能够无创反映宫缩起始、传播方向与强度分布,可实现宫缩频率、持续时间及同步性等参数的自动提取,实现宫缩监测量化。通过子宫生物电活动的基础生理进一步阐述了无创uEMG技术发展,其在产程中宫缩力客观监测与异常诊断、早产精准预测、高危妊娠个体化分娩时机决策等方面,均展示了精细化评估的临床应用价值,为宫缩力临床干预提供了全新视角。未来需进一步推动技术标准化及人工智能化,促进其与胎心监护等多模态信息的整合,以构建智能化的安全产程管理体系以实现安全分娩。
Effective and safe uterine contractions are the core driving force of childbirth,and the limitations of traditional assessment methods of uterine contractions have restricted the precise management of labor progress and uterine contractility. Non-invasive uterine electromyography (uEMG) technology can non-invasively reflect the onset,propagation direction,and intensity distribution of uterine contractions by capturing the electrical activity characteristics of uterine smooth muscle in real time. It can automatically extract parameters such as uterine contraction frequency,duration,and synchrony,thereby realizing the quantification of uterine contraction monitoring. The development of non-invasive uEMG technology is further elaborated based on the basic physiology of uterine bioelectrical activity. It has demonstrated the clinical application value of refined assessment in aspects such as the objective monitoring and abnormal diagnosis of uterine contractility during labor,the accurate prediction of preterm birth,and the individualized decision-making of delivery timing in high-risk pregnancies,providing a new perspective for the clinical intervention of uterine contractility. In the future,it is necessary to further promote the standardization and AI intelligence of the technology,and facilitate its integration with multi-modal information such as fetal heart rate monitoring,so as to construct an intelligent safe labor management system and achieve safe childbirth.
uterine contraction quantification technology / safe delivery / uterine electromyography
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