Design of MEMS piezoelectric blood pressure sensor

As the world is going through an existential global health crisis, i.e., the outbreak of novel coronavirus-caused respiratory disease , the healthcare systems of all the countries require readily available, low cost and highly precise equipment for the rapid diagnostics, monitoring, and treatment of the disease. The performance and precision of this equipment are solely dependent on the sensors being used. The advancement in research and development of micro-electro-mechanical systems (MEMS) based sensors during recent years, has resulted in the improvement of the conventional equipment being used in biomedical and health care applications. Microfluidics (Lab-on-a-chip) and MEMS sensors are now being used extensively for quick and accurate detection, progression monitoring, and treatment of various diseases including Covid-19. The ongoing miniaturization and design improvements have resulted in more precise sensors and actuators for healthcare applications, even for micro and nanoscale measurements in drug delivery and other invasive applications. This article aims at reviewing the MEMS sensors being used or which can be used in the important equipment for the detection and treatment of Covid-19 or other pandemics. An insight into various designs and working principles of the research-based and commercially available MEMS sensors is presented. The study highlights the role and importance of MEMS sensors in the improvement of equipment with conventional sensors. MEMS sensors outperform the conventional sensors due to their small size (1µm-1mm), negligible weight, prompt response, precise measurements, portability, and ease of integration with electronic circuitry.

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“…24. is reported in [156]. It proves to be a viable replacement for conventional bulky blood pressure measuring systems.…”

Section: E Patient Monitormentioning

confidence: 99%

MEMS Sensors for Diagnostics and Treatment in the Fight Against COVID-19 and Other Pandemics

et al. 2021

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“…Real-time biomedical monitoring technologies, especially wearable microelectromechanical system (MEMS)-based arterial pulse monitoring, have enabled the measurement of a wide range of physiological signals . Piezoelectric sensors for BP monitoring have high fidelity and good dynamic response characteristics. ,,− The first use of a piezoelectric crystal microphone for arterial pulse wave detection dates back to the 1940s . Although previous studies have focused on the effect of piezoelectric element thickness and surface area on its response in BP monitoring, ,,, the impact of structure and architecture on piezoelectric response has not yet been investigated.…”

Section: Introductionmentioning

confidence: 99%

“…3,6,9−14 The first use of a piezoelectric crystal microphone for arterial pulse wave detection dates back to the 1940s. 15 Although previous studies have focused on the effect of piezoelectric element thickness and surface area on its response in BP monitoring, 3,11,16,17 the impact of structure and architecture on piezoelectric response has not yet been investigated.…”

Section: Introductionmentioning

confidence: 99%

Piezoelectric Metamaterial Blood Pressure Sensor

Ahmadpour

Yetisen

2023

ACS Appl. Electron. Mater.

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Continuous blood pressure monitoring allows for detecting the early onset of cardiovascular disease and assessing personal health status. Conventional piezoelectric blood pressure monitoring techniques have the ability to sense biosignals due to their good dynamic responses but have significant drawbacks in terms of power consumption, which limits the operation of blood pressure sensors. Although piezoelectric materials can be used to enhance the self-powered blood pressure sensor responses, the structure of the piezoelectric element can be modified to achieve a higher output voltage. Here, a structural study on piezoelectric metamaterials in blood pressure sensors is demonstrated, and output voltages are computed and compared to other architectures. Next, a Bayesian optimization framework is defined to get the optimal design according to the metamaterial design space. Machine learning algorithms were used for applying regression models to a simulated dataset, and a 2D map was visualized for key parameters. Finally, a time-dependent blood pressure was applied to the inner surface of an artery vessel inside a 3D tissue skin model to compare the output voltage for different metamaterials. Results revealed that all types of metamaterials can generate a higher electric potential in comparison to normal square-shaped piezoelectric elements. Bayesian optimization showed that honeycomb metamaterials had the optimal performance in generating output voltage, which was validated according to regression model analysis resulting from machine learning algorithms. The simulation of time-dependent blood pressure in a 3D skin tissue model revealed that the design suggested by the Bayesian optimization process can generate an electric potential more than two times greater than that of a conventional square-shaped piezoelectric element.

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“…By utilizing MEMS technology and piezoelectric sensing elements, these sensors offer the potential for precise and non-invasive monitoring of blood pressure, contributing to advancements in healthcare and improving patient well-being. [13]. The detection of changes in infrared light absorption using glucose molecules in the blood relies on the principle of Beer's and Lambert's law.…”

Section: Introductionmentioning

confidence: 99%

Integration of a Pressure Sensor for Continuous Glucose Monitoring System

Guttikonda,

2023

Preprint

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Diabetes is a metabolic disorder, if a person is once diagnosed it’s not resolvable and is identified by variations in glucose concentration levels. We are designing an osmotic pressure sensor for the continuous glucose monitoring system. For this, microbridge and microcantilever with different principles are optimized and suitable is integrated to pressure sensor by using FEM tool, the performance analysis of the pressure sensor are analyzed on the aspects of sensitivity and non-linearity

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Design of MEMS piezoelectric blood pressure sensor

Cited by 24 publications

References 6 publications

MEMS Sensors for Diagnostics and Treatment in the Fight Against COVID-19 and Other Pandemics

MEMS Sensors for Diagnostics and Treatment in the Fight Against COVID-19 and Other Pandemics

Piezoelectric Metamaterial Blood Pressure Sensor

Integration of a Pressure Sensor for Continuous Glucose Monitoring System

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