在所有类型的高血压中,开发和内部验证一个支持人工智能的无袖,非侵入性的连续血压监测器
Francisco Lopez-Jimenez1, Abhishek Deshmukh1, John Bisognano2
1Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
这项研究验证了可穿戴的无袖血压计,用于所有高血压类别的持续,非侵入性监测. 这种基于人工智能的设备显示出精确的血压跟踪的前景.
科学领域:
- 生物医学工程 生物医学工程
- 心血管技术的心血管技术
- 医疗保健中的人工智能
背景情况:
- 基于袖口的血压 (BP) 监测需要对新的非侵入性技术进行验证.
- 连续,可穿戴的BP监测提供了与传统方法相比的潜在优势.
- 不同的受试者群体和高血压类别需要对新的BP设备进行评估.
研究的目的:
- 为了评估一个非侵入性的,多参数可穿戴的无袖血压计的性能.
- 为了评估各种高血压类别和不同个体的设备的准确性.
- 验证监控器对连续和实时BP评估的能力.
主要方法:
- 这是一项前性多中心研究,涉及303名多样化的受试者 (18-83岁,50.16%是女性).
- 在4周内诱导和自然BP变化期间评估Nanowear的SimpleSense-BP性能.
- 根据参考值进行验证,考虑到显著的血压变化 (SBP ≥ ±15 mm Hg,DBP ≥ ±10 mm Hg).
主要成果:
- 该研究包括了正常 (35%),高血压前 (24%),第一阶段 (24%),第二阶段 (17%) 的高血压参与者.
- 在诱导变化 (54名受试者) 和自然显著的BP变化 (149名受试者) 中测试了性能.
- 参考值持续时间在91名受试者中得到了验证.
结论:
- 基于AI的连续血压诊断监测器的临床验证,使用非侵入性可穿戴数据.
- 该设备展示了准确无袖血压监测的潜力.
- 建议包括对不同种群进行进一步测试和外部验证,遵守ISO 81060-2和IEEE 1708:2019标准.
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