Abstract
In this study, the optimization of piezoelectric materials for good conductivity to measure medical recordings was investigated. For comparison, piezoelectric materials were employed. The analysis is done based on the piezoelectric materials such as lead zirconate titanate, polyvinylidene fluoride, graphene, barium titanate, combination of lead zirconate titanate with barium titanate and graphene, and combination of polyvinylidene fluoride with barium titanate and graphene. COMSOL Multiphysics 5.6 is used to carry out the simulations using different combinations of piezoelectric materials. The stress factor with displacement, electric potential, Young’s modulus owing to different loads were evaluated for different piezoelectric materials. Load variations were performed from 1 to 3 N to plot the interpolated graph. For various loadings, the output revealed good sensitivity for graphene and polyvinylidene fluoride with graphene. The dynamic area in this paper was carried out based on graphene piezoelectric material. With the applied pressure in the range 1–3 N, the final values were obtained from simulation results for PVDF with graphene material with stress factor of 4.52 MPa, the Young’s modulus value as 4.4 MPa, the electric potential obtained in the range of 3–5 µV when compared to other piezoelectric materials involved under study.
References
Premalatha G, Bai VT (2022) Wireless IoT and cyber-physical system for health monitoring using honey badger optimized least-squares support-vector machine. Wirel Pers Commun. https://doi.org/10.1007/s11277-022-09500-9
Li Q, He B, Zhao J (2021) Solution processable poly(vinylidene fluoride)-based ferroelectric polymers for flexible electronics. APL Mater 9:010902. https://doi.org/10.1063/5.0035539
Choudhry NA, Rasheed A, Arnold L, LijingWang SA (2020) Design, development and characterization of textile stitch-based piezoresistive sensors for wearable monitoring. IEEE Sensors J 20(18):10485–10494
Niranjana S, Hareshaa SK, Basker IZ (2021) Smart wearable system to assist asthma patients. Adv Parallel Comput. https://doi.org/10.3233/APC210143
NurettinSezer MK (2021) A comprehensive review on the state-of-the-art of piezoelectric energy harvesting. Nano Energy 80:105567. https://doi.org/10.1016/j.nanoen.2020.105567
Manh L-N, Li J, HyunkyuKweon, (2022) Simultaneous measurement of two biological signals using a multi-layered polyvinylidene fluoride sensor. Sci Rep 12:1507. https://doi.org/10.1038/s41598-022-05622-z
McGinn CK, Kam KA, Mika-MattiLaurila, (2020) Formulation, printing, and poling method for piezoelectric films based on PVDF–TrFE. J Appl Phys 128:225304. https://doi.org/10.1063/5.0027855
Miao F, Liu J-K, Liu Z-D (2020) Multi-sensor fusion approach for cuff-less blood pressure measurement. IEEE J Biomed Health Inform 24(1):79–91
Mora N, Cocconcelli F, Matrella G (2020) Accurate heartbeat detection on ballistocardiogram accelerometric traces. IEEE Trans Instrum Meas 69(11):9000–9009
Reddy PL, Deshmukh K, Kovarik T, Reiger D, Nambiraj NA, Lakshmipathy R (2020) Enhanced dielectric properties of green synthesized nickel sulphide (NiS) nanoparticles integrated polyvinyl alcohol nanocomposites. Mater Res Express. https://doi.org/10.1088/2053-1591/ab955f
Acknowledgements
The authors wish to express their sincere thanks to the management of KCG College for their support. We are deeply grateful to Dr. Pandiyarasan Veluswamy, Assistant Professor, IIITDM, Kancheepuram, for the initial guidance toward measurement of COMSOL Multiphysics 5.6 software.
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Sowmya, S., Jose, D. Investigations for Analogizing PVDF and Graphene to Fabricate ECG Sensor as Wearable Device. Natl. Acad. Sci. Lett. (2024). https://doi.org/10.1007/s40009-024-01394-4
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DOI: https://doi.org/10.1007/s40009-024-01394-4