估计生理压力:侵入性和非侵入性技术,人工智能模型和未来的前景
Sharanya Manga1, Neha Muthavarapu1, Renisha Redij2
1Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
人工智能 (AI) 正在彻底改变生理压力测量,为血压等生命体征提供非侵入性方法. 这项技术在临床和家庭环境中增强了诊断和患者护理.
科学领域:
- 生物医学工程 生物医学工程
- 医疗技术 医疗技术 医学技术
- 生理学 生理学 生理学
背景情况:
- 生理学压力测量对于诊断和预防健康并发症至关重要.
- 目前用于估计生命压力的标准 (例如,血压,肺毛细血管压) 主要依赖于侵入性方法.
- 人工智能 (AI) 正在成为分析和预测生理压力模式的变革性技术.
研究的目的:
- 在隔间压力测量中对人工智能应用进行深入审查.
- 评估现有方法和新兴的人工智能驱动技术用于生理压力估计.
- 突出基于AI的非侵入性技术,包括微波系统,用于临床实践.
主要方法:
- 系统地搜索和审查应用人工智能的研究,以各种隔间压力测量.
- 评估基于人工智能的创新在非侵入性血压估计 (成像,听觉,振荡计,可穿戴技术).
- 评估AI在医院和家庭患者监测中的作用.
主要成果:
- 人工智能在开发用于估计生命生理压力的非侵入性方法方面显示出显著的潜力.
- 存在多种基于人工智能的方法来估计血压,利用各种数据源.
- 新兴的人工智能技术,如基于微波的系统,显示出广泛临床采用的希望.
结论:
- 人工智能集成为非侵入性和可访问的生理压力监测提供了一个范式转变.
- 由人工智能驱动的工具可以提高各种与压力相关的疾病的诊断准确性和患者管理.
- 对生理学压力传感的AI进行持续的研究和开发对于未来的医疗保健进步至关重要.
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