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睡眠呼吸暂停检测的多模式方法:在灵活的3D打印可穿戴设备中使用SpO2和强度敏感传感器
Ayush Tiwari1, Manoj Kumar Baghel2, Vivek Kumar3
1Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India. ayush.ihub@sric.iitr.ac.in.
Mikrochimica acta
|February 11, 2025
概括
一个新的可穿戴设备为诊断睡眠呼吸暂停提供了一种自动化和舒适的解决方案. 这项创新技术使用定制的力传感器电阻和脉冲氧计进行准确的实时监测.
科学领域:
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
- 医学诊断 医学诊断 医学诊断
背景情况:
- 多睡眠学 (PSG) 是睡眠呼吸暂停诊断的标准,但是劳动密集型的,需要复杂的设备.
- 由于PSG的可用性有限,因此阻碍了在一般人群中广泛进行睡眠呼吸暂停查.
研究的目的:
- 开发一种可穿戴的健康监测设备,用于舒适,易于使用和自动化睡眠呼吸暂停诊断.
- 通过创新的传感器技术来解决传统的多睡眠学的局限性.
主要方法:
- 在3D打印的可穿戴设备中集成定制的力传感器电阻 (FSR),微控制器和脉冲氧计 (SpO2).
- 呼吸和氧和数据的实时无线传输到基于网络的接口.
- 使用SEM和EDAX制造和表征银墨指电极;用于传感器验证的COMSOL多物理模拟.
主要成果:
- 该可穿戴设备展示了准确和自动化的睡眠呼吸暂停诊断能力.
- 银墨电极的银含量高 (97.6%) 和氧含量低 (2.4%),确保了良好的电导率.
- COMSOL模拟和实验结果证实了施加压力和输出电压 (0-40N,0-5V) 之间的线性关系,验证了传感器的稳定性.
结论:
- 开发的原型为睡眠呼吸暂停诊断提供了一个舒适和用户友好的替代方案.
- 这种可穿戴设备有助于全面和自动的睡眠呼吸暂停评估,提高了可访问性.
- 经过验证的传感器技术显示出在睡眠监测中可靠,现实应用的潜力.
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