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人工智能增强的可穿戴技术用于人类生理信号检测:挑战和未来方向

Jiahao Wan1, Shunyuan Xu2, Jinzhi Lin1

  • 1School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China.

Small (Weinheim an der Bergstrasse, Germany)
|September 24, 2025
PubMed
概括

人工智能 (AI) 通过提高数据分析准确性和实现个性化健康洞察力来增强生理监测的可穿戴设备. 这项技术为复杂的实时健康数据提供先进的解决方案,克服了传统的局限性.

关键词:
人工智能 (AI) 是一种人工智能.卫生监测健康监测多式联网数据融合生理信号 生理信号可穿戴设备可穿戴设备.

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科学领域:

  • 生物医学工程 生物医学工程
  • 计算机科学 计算机科学
  • 材料科学 材料科学 材料科学

背景情况:

  • 由于技术进步和人口老龄化,可穿戴设备对于监测生理信号越来越重要.
  • 传统的信号分析方法与复杂,多式联络,非线性和个性化的生理数据作斗争.
  • 人工智能 (AI) 为分析可穿戴设备的生理信号提供了新的解决方案.

研究的目的:

  • 审查人工智能在可穿戴生理信号监控方面的最新进展.
  • 探索AI在信号提取,分类,个性化健康和人机交互方面的好处.
  • 分析各种生理信号类型的AI应用,并讨论未来的趋势.

主要方法:

  • 在可穿戴生理监测中对人工智能技术 (深度学习,机器学习,多模式融合) 的系统审查.
  • 分析AI对信号精度,个性化和实时处理的影响.
  • 研究人工智能在生物电,机械,化学和热信号分析中的应用.

主要成果:

  • 人工智能显著提高了生理信号处理的准确性和实时性能.
  • 人工智能促进了个性化的健康监测,疾病预测和优化的人机交互.
  • 人工智能在分析可穿戴传感器的各种生理信号方面展示了有效的应用.

结论:

  • 人工智能正在彻底改变可穿戴生理监测,增强数据分析和实现个性化医疗保健.
  • 在数据隐私,算法概括,实时处理和模型解释性方面仍然存在挑战.
  • 未来的发展取决于人工智能算法,材料,芯片和跨学科合作的进步.