Mahmoud Al Ahmad;Hamzeh Abu Qamar;Khaled Mohammed;Sami Meetani;Rashed Al Ketbi
{"title":"Blood Flow Detection Using Piezoelectric Sensors","authors":"Mahmoud Al Ahmad;Hamzeh Abu Qamar;Khaled Mohammed;Sami Meetani;Rashed Al Ketbi","doi":"10.1109/JSEN.2024.3517166","DOIUrl":null,"url":null,"abstract":"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 (<inline-formula> <tex-math>$\\Delta {t}$ </tex-math></inline-formula>) 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.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 3","pages":"4316-4323"},"PeriodicalIF":4.3000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10810278/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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:
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-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
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-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