使用机器学习进行实时健康监测的无线补丁天线表征
Dominic Benintendi1, Kevin M Tennant2, Edward M Sabolsky2
1School of Electrical Engineering and Computer Science, Russ College of Engineering and Technology, Ohio University, Athens, OH 45701, USA.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了无线补丁天线,用于在极端环境中以机器学习辅助的温度估计. 与传统方法相比,使用长短期记忆 (LSTM) 模型显著提高了温度准确性.
科学领域:
- 电气工程 电气工程
- 材料科学 材料科学 材料科学
- 机器学习 机器学习
背景情况:
- 像燃煤发电厂这样的极端环境需要对炉系统健康进行强大的温度监测.
- 传统方法 (RFID,红外线,热电偶) 在这些恶劣条件下存在局限性.
- 无线,非接触式温度传感提供了一个有希望的替代方案.
研究的目的:
- 设计和测试用于机器学习辅助温度估计的无线补丁天线.
- 开发一个改进的传感器校准方法来解决hysteresis.
- 展示这种新方法在现有技术上的优势.
主要方法:
- 无线补丁天线被设计和测试用于温度传感.
- 一个矢量网络分析器 (VNA) 用于无线查询和数据采集.
- 长期短期记忆 (LSTM) 模型用于传感器校准和温度估计,并考虑过敏.
主要成果:
- 传感器的灵敏度在0.052到0.20MHz/°C之间.
- 与线性回归 (LR) 相比,LSTM模型在温度估计误差中实现了高达76%的改进.
- 无线补丁天线系统证明了有效的非接触式温度测量.
结论:
- 无线补丁天线为极端环境中温度监测提供了创新的解决方案.
- 机器学习,特别是LSTM模型,显著提高了温度估计的准确性.
- 这种方法克服了传统温度传感方法的局限性.
相关概念视频
01:30Pulse rhythm
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
01:23Holter Monitor: 24-Hour Monitoring
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...