开发和验证基于云的心率变化监测器
Sushma N Bhat1, Ghanshyam D Jindal1, Gajanan D Nagare2
1Department of Biomedical Engineering, MGM's College of Engineering and Technology, Navi Mumbai, India.
一个新的基于云的系统使用MAX30102传感器监测心率变化 (HRV). 这种点的护理设备提供可靠的,非侵入性心血管监测,以改善患者的护理.
科学领域:
- 生物医学工程 生物医学工程
- 心血管监测 心血管监测
- 云计算在医疗保健中的应用
背景情况:
- 医疗调查可以诱导压力 (白色外套效应),影响心血管平衡.
- 护理点系统对于安全和及时的患者监测至关重要.
- 心率变化 (HRV) 提供了对自主神经系统活动的关键见解.
研究的目的:
- 引入和验证一种新的基于云计算的治疗点系统,用于监测心率变化 (HRV).
- 评估系统通过数据驱动的治疗调整来提高临床结果的潜力.
- 确保在传统临床环境之外的安全可靠的患者监测.
主要方法:
- 基于云计算的医疗点系统的开发,使用MAX30102传感器和光电smography.
- 用于HRV分析的非侵入性外周脉冲信号采集.
- 开发的HRV监测器 (HRVM) 与外围脉冲分析仪 (PPA) 的验证.
主要成果:
- 皮尔森对频谱值的相关系数在所有受试者中都超过了0.97.
- 平均误差,误差标准偏差和误差范围都在可接受的范围内.
- 统计验证证实了HRVM系统对PPA的可靠性.
结论:
- 开发的HRVM系统已被验证用于云计算和护理点应用程序.
- 该系统展示了基于HRV指标的及时,数据驱动的治疗调整的潜力.
- 非侵入性设计促进了患者的遵守,并增强了临床决策.
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