利用压电传感器进行血流检测

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Mahmoud Al Ahmad;Hamzeh Abu Qamar;Khaled Mohammed;Sami Meetani;Rashed Al Ketbi
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引用次数: 0

摘要

本研究介绍了一种利用压电材料进行无创血流监测的创新方法。这些材料在机械应力下产生电场,使其成为传感的理想材料。本文提出了一种利用两个相同的压电传感器来估计血管半径的新方法。该方法利用了压电传感器的输出电压与血管内血流引起的机械应力之间的关系。建立了一个数学模型,将血液粘度、流速和血管半径与传感器输出信号相关联。该方法的关键步骤包括计算信号之间的时间延迟,确定流速,并通过重新排列相关方程来估计船舶半径。该系统在人体手臂和腿部的多次测量中显示了一致的传感器性能。记录的最大输出电压为50 mV(峰对峰),对应于0.6 nC/cm2的应力诱导迟滞变化。传感器之间的时间延迟测量值($\Delta {t}$)分别为手臂0.035 s和腿部0.069 s,相应的血流速度分别为0.113和0.115 m/s。据估计,手臂的血流量为3.63 L/min,腿部的血流量为0.070 L/min,当施加外部压力时,血流明显减少,模拟凝块形成。此外,测量了脉冲波速度(PWV),发现与传统的多普勒测量结果一致。该方法有望用于无创血管监测,在检测血管阻塞(如血栓)方面具有潜在的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blood Flow Detection Using Piezoelectric Sensors
This study introduces an innovative method for noninvasively monitoring blood flow, utilizing piezoelectric materials. These materials generate electric fields under mechanical stress, making them ideal for sensing. This study presents a novel method for estimating the radius of blood vessels using two identical piezoelectric sensors. The approach leverages the relationship between the output voltage of piezoelectric sensors and the mechanical stress induced by blood flow within vessels. A mathematical model is developed to correlate blood viscosity, velocity, and vessel radius with sensor output signals. Key steps in the method include calculating time delays between signals, determining flow velocity, and estimating vessel radius by rearranging relevant equations. The system demonstrated consistent sensor performance across multiple measurements on human arms and legs. The maximum output voltage recorded was 50 mV (peak-to-peak), corresponding to a stress-induced hysteresis change of 0.6 nC/cm2. Time delay measurements ( $\Delta {t}$ ) between sensors were 0.035 s for the arm and 0.069 s for the leg, with corresponding blood velocities of 0.113 and 0.115 m/s, respectively. Blood flow rates were estimated at 3.63 L/min in the arm and 0.070 L/min in the leg, with a significant reduction in flow observed when external pressure was applied, simulating clot formation. Additionally, pulse wave velocity (PWV) was measured and found to align with conventional Doppler-based measurements. The proposed method shows promise for noninvasive blood vessel monitoring, with potential applications in detecting vascular obstructions such as clots.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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