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基于人类生理信号的自动检测睡眠呼吸暂停/睡眠暂停的人工智能驱动的方法:一个审查

Dandan Peng¹, Le Sun², Qian Zhou³

¹The Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, 510006 China.

Health information science and systems

|December 23, 2024

概括

本综述探讨了人工智能驱动的方法,使用生理信号自动检测睡眠呼吸暂停/睡眠暂停. 它总结了当前的技术,挑战和准确的,非侵入性睡眠障碍诊断的未来方向.

科学领域:

生物医学工程生物医学工程
人工智能的人工智能
睡眠医学睡眠医学

背景情况:

睡眠呼吸暂停/睡眠暂停是一种严重的睡眠障碍,与心血管疾病和突然死亡有关.
目前通过多睡眠学 (PSG) 进行诊断是耗时的,需要专家手动评分.
人工智能和可穿戴设备为自动睡眠呼吸暂停/呼吸暂停检测提供了潜力.

研究的目的:

提供基于人工智能的自动睡眠呼吸暂停/呼吸暂停检测方法的全面审查.
总结常见的数据采集,预处理和模型构建技术.
讨论人工智能对睡眠呼吸暂停/睡眠暂停检测的挑战和未来研究方向.

主要方法:

最近基于人工智能的自动睡眠呼吸暂停/睡眠暂停检测研究的综述.
总结一般过程:数据采集,预处理,模型构建,分类和评估.
分析使用各种生理信号的方法:空气流,SpO2,ECG,EEG和打的声音.

主要成果:

使用单模或多模生理学信号的AI模型显示了自动检测的前景.
根据不同的生理信号量身定制的特定预处理方法至关重要.
审查了常用的公共数据库和评估指标.

结论:

人工智能技术为有效和准确的睡眠呼吸暂停/睡眠暂停检测提供了一个有希望的途径.
解决数据可用性和不平衡等挑战是推动人工智能的关键.
未来的研究应该专注于多中心研究和强大的AI模型开发.

关键词:

基于人工智能的技术.自动检测自动检测自动检测人类生理信号人类生理信号睡眠呼吸暂停/睡眠暂停.

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