可穿戴传感器作为手术前评估工具:一篇评论
Aron Syversen1, Alexios Dosis2, David Jayne2
1School of Computing, University of Leeds, Leeds LS2 9JT, UK.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
可穿戴式传感器为手术前患者评估提供了一个有希望的,可访问的方法,在临床环境之外提供连续的数据. 建议进行进一步的研究,以克服当前的挑战,并在手术风险分层中充分发挥其潜力.
科学领域:
- 在外科手术期间的医学.
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
背景情况:
- 手术是一种常见的治疗方法,但尽管死亡率下降,术后并发症仍然存在.
- 目前的手术前评估工具缺乏准确性和可访问性.
- 可穿戴式传感器 (WS) 提供了连续的非临床监测作为替代方案.
研究的目的:
- 审查适用于手术前期的可穿戴传感器 (WS) 研究的发展.
- 评估WS作为术前患者风险分层工具的潜力.
主要方法:
- 对手术前评估的WS研究进行系统审查.
- 分析所使用的传感器类型 (加速计,光电脉冲扫描,心电扫描),数据预处理和机器学习模型.
主要成果:
- 加速度计是常见的,通常与其他传感器相结合.
- 在商业设备中经常缺少数据归算和专有算法.
- 使用了各种机器学习模型,没有一个单一的模型始终优于其他模型. 深度学习在大型研究中显示出有前景.
结论:
- 可穿戴式传感器显示了手术前评估的潜力,但面临着挑战.
- 为未来的研究提供了建议,以使WS成为可行的术前工具.
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