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 (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta {t}$ </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.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-12-19
DOI
https://doi.org/10.1109/jsen.2024.3517166
Citations
2
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blood Flow Detection Using Piezoelectric Sensors

Mahmoud Al Ahmad, Khaled Mohammed, Hamzeh Abu Qamar, Sami Meetani et al.
2 citations
IEEE Sensors Journal
Non-Invasive Vital Sign Monitoring
0.37
article

Blood Flow Detection Using Piezoelectric Sensors

Mahmoud Al Ahmad, Khaled Mohammed, Hamzeh Abu Qamar, Sami Meetani, Rashed Al Ketbi
article en
2 citations

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 xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta {t}$ </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.

IEEE Sensors JournalVol. 25(3)
United Arab Emirates University (AE)
Openalex Percentile: Top 41%
Non-Invasive Vital Sign Monitoring
0.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.