Application of piezo transducers in biomedical science for health monitoring and energy harvesting problems

Haq, Moinul

doi:10.1088/2053-1591/aaefb8

Cited by 36 publications

(6 citation statements)

References 85 publications

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“…PENGs can be worn externally or implanted in the body; they can be used to convert small mechanical vibrations generated by the human body from activities such as walking, breathing, or fluxes in biofluids, into energy to power implantable medical devices. [265,266] The manufacturing process is easily scalable and often compatible with CMOS fabrication process. PENGs can also be used for flexible and stretchable devices.…”

Section: Mechanical Energy Harvesting Methodsmentioning

confidence: 99%

Powering Implantable and Ingestible Electronics

Yang

Sencadas

You

et al. 2021

Adv Funct Materials

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Implantable and ingestible biomedical electronic devices can be useful tools for detecting physiological and pathophysiological signals, and providing treatments that cannot be done externally. However, one major challenge in the development of these devices is the limited lifetime of their power sources. The state-of-the-art of powering technologies for implantable and ingestible electronics is reviewed here. The structure and power requirements of implantable and ingestible biomedical electronics are described to guide the development of powering technologies. These powering technologies include novel batteries that can be used as both power sources and for energy storage, devices that can harvest energy from the human body, and devices that can receive and operate with energy transferred from exogenous sources. Furthermore, potential sources of mechanical, chemical, and electromagnetic energy present around common target locations of implantable and ingestible electronics are thoroughly analyzed; energy harvesting and transfer methods befitting each energy source are also discussed. Developing power sources that are safe, compact, and have high volumetric energy densities is essential for realizing long-term in-body biomedical electronics and for enabling a new era of personalized healthcare.

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Section: Mechanical Energy Harvesting Methodsmentioning

confidence: 99%

Powering Implantable and Ingestible Electronics

Yang

Sencadas

You

et al. 2021

Adv Funct Materials

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“…The direct and converse piezoelectric effect is a well-known capacity of PZT material to exchange mechanical deformation to electrical energy and vice versa. Therefore, it has been used as transducer and actuator for sensing and actuating in many engineering, biological, and medicinal applications (De Oliveira et al, 2018;Feng and Tseng, 2018;Haq, 2018).…”

Section: Pzt Patch and Piezo Buzzermentioning

confidence: 99%

Experimental analysis of the feasibility of deep slide monitoring with low-cost piezoelectric diaphragms-based EMI technique

Yao

Yang

et al. 2021

Journal of Intelligent Material Systems and Structures

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Slope instability, especially the soil slope instability, is a common occurrence in mountainous areas. It poses a huge threat to people’s lives and properties under the slope body. Effective slope monitoring techniques can provide detailed information and precursor about the real-time deformation, which is of great importance to provide early warning to the public. In this paper, a novel electromechanical impedance (EMI)-based slope deep slide monitoring bar (DSMB) was proposed. The main purpose was to investigate the application of the EMI technique for deep slide detection. In this study, a small soil slope specimen with a DSMB embedded inside it was fabricated in laboratory. To verify the practicality of the low-cost piezoelectric diaphragms (commonly known as buzzers), four conventional lead zirconate titanate (PZT) patches and four buzzers were bonded onto the front surface and back surface of the bar at specific positions, respectively. The slope specimen was then subjected to a horizontal thrust to initiate an interlayer slide along the slip surface. The whole process was monitored with a precision impedance analyzer by measuring the admittance of these transducers at specific sliding displacement. In order to reduce the error and increase the reliability, the experiment was repeated three times under the same conditions. It was concluded that the conventional PZT patches and buzzers have similar sensitivities to interlayer slide damage. The results indicate that both the severity and sliding location could be identified via the two metrics including root mean square deviation (RMSD) and correlation coefficient deviation (CCD). The experimental results verify the feasibility and practicality of using novel and low-cost piezoelectric diaphragm-based EMI technique to detect the deep slide in soil slope.

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“…Some of the biomedical applications of PENGs are presented in References [ 10 , 11 , 12 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ], for example. PENG-powered IMDs inserted directly in the brain have been suggested by some authors [ 11 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, it is possible to harvest biomechanical energy from natural body motions, such as muscle contractions and relaxations, cardiac and lung motions, blood circulation, and even motion caused by gravity, and supply the generated power to the electronic circuitry. Some of the biomedical applications of PENGs are presented in References [10][11][12][17][18][19][20][21][22][23][24], for example. PENG-powered IMDs inserted directly in the brain have been suggested by some authors [11,23].…”

Section: Introductionmentioning

confidence: 99%

Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method

et al. 2022

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This work is dedicated to parameter optimization for a self-biased amplifier to be used in preamplifiers for the diagnosis of seizures in neuro-diseases such as epilepsy. For the sake of maximum compactness, which is obligatory for all implantable devices, power is to be supplied by a piezoelectric nanogenerator (PENG). Several meta-heuristic optimization algorithms and an ANN (artificial neural network)-assisted goal attainment method were applied to the circuit, aiming to provide us with the set of optimal design parameters which ensure the minimal overall area of the preamplifier. These parameters are the slew rate, load capacitor, gain–bandwidth product, maximal input voltage, minimal input voltage, input voltage, reference voltage, and dissipation power. The results are re-evaluated and compared in the Cadence 180 nm SCL environment. It has been observed that, among the metaheuristic algorithms, the whale optimization technique reached the best values at low computational cost, decreased complexity, and the highest convergence speed. However, all metaheuristic algorithms were outperformed by the ANN-assisted goal attainment method, which produced a roughly 50% smaller overall area of the preamplifier. All the techniques described here are applicable to the design and optimization of wearable or implantable circuits.

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Application of piezo transducers in biomedical science for health monitoring and energy harvesting problems

Cited by 36 publications

References 85 publications

Powering Implantable and Ingestible Electronics

Powering Implantable and Ingestible Electronics

Experimental analysis of the feasibility of deep slide monitoring with low-cost piezoelectric diaphragms-based EMI technique

Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method

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