Tushar Kanti Bera

Bio: Tushar Kanti Bera is an academic researcher from National Institute of Technology, Durgapur. The author has contributed to research in topics: Electrical impedance tomography & Imaging phantom. The author has an hindex of 21, co-authored 68 publications receiving 1154 citations. Previous affiliations of Tushar Kanti Bera include Yonsei University & B.M.S. College of Engineering.

Leveraging a temperature-tunable, scale-like microstructure to produce multimodal, supersensitive sensors.

Abstract: The microstructure of a flexible film plays an important role in its sensing capability. Here, we fabricate a temperature-dependent wrinkled single-walled carbon nanotube (SWCNT)/polydimethyl-siloxane (PDMS) film (WSPF) and a wrinkle-dependent scale-like SWCNT/PDMS film (SSPF) successfully, and address the formation and evolution mechanisms of each film. The low elastic modulus and high coefficient of thermal expansion of the PDMS layer combined with the excellent piezoresistive behavior of the SWCNT film motivated us to investigate how the scale-like microstructure of the SSPF could be used to design multimodal-sensing devices with outstanding capabilities. The results show that SSPFs present supersensitive performance in mechanical loading (an effective sensitivity of up to 740.7 kPa−1) and in temperature (a tunable thermal index of up to 29.9 × 103 K). These exceptional properties were demonstrated in practical applications in a programmable flexile pressure sensor, thermal/light monitor or switch, etc., and were further explained through the macroscopic and microscopic piezoresistive behaviors of scale-like SWCNT coatings.

Image reconstruction in electrical impedance tomography (EIT) with projection error propagation-based regularization (PEPR): a practical phantom study

Abstract: Resistivity reconstruction of practical phantoms is studied with Projection Error Propagation-based Regularization (PEPR) method to improve the image quality in Electrical Impedance Tomography (EIT). PEPR method calculates the regularization parameter as a function of the projection error produced due to the mismatch between experimental measurements and the calculated data. The regularization parameter in the reconstruction algorithm automatically adjusts its magnitude depending on the noise level present in measured data as well as the ill-posedness of the Hessian matrix. Resistivity images are reconstructed from the practical phantom data using the Electrical Impedance Diffuse Optical Reconstruction Software (EIDORS). The resistivity images reconstructed with PEPR method are compared with the Single step Tikhonov Regularization (STR) and Modified Levenberg Regularization (LMR) techniques. The results show that, the PEPR technique reduces the reconstruction errors in each iteration and improves the reconstructed images with better contrast to noise ratio (CNR), percentage of contrast recovery (PCR), coefficient of contrast (COC) and diametric resistivity profile (DRP).

Studying the Elemental Resistivity Profile of Electrical Impedance Tomography (EIT) Images to Assess the Reconstructed Image Quality

Abstract: Studying of elemental resistivity profile of reconstructed images in Electrical Impedance Tomography (EIT) is essential to assess its image quality, reconstruction process and the systems performance. Visual assessment of the impedance images must not be accepted as the ultimate and sufficient judgment criteria for reconstruction efficiency of the tomograph. To identify the best image quality in EIT reconstruction, resistivity images are reconstructed from the simulated data using Electrical Impedance Diffuse Optical Reconstruction Software (EIDORS) and their elemental resistivity profiles are analyzed with image analyzing parameters. Results show that the image analyzing parameters are essential to assess the reconstructed images more technically, qualitatively and quantitatively.

Gold electrode sensors for electrical impedance tomography (EIT) studies

Abstract: Surface electrodes in EIT phantoms usually reduce the SNR of the boundary data due to their design and development errors. A novel gold electrode array with high geometric precision is developed for 2D electrical impedance tomography to increase the SNR of boundary data. Gold thin films are deposited on a flexible FR4 sheet using electro-deposition process to make a sixteen electrode array with electrodes of identical geometry. Boundary data are collected using a USB based high speed data acquisition system in a LabVIEW platform and the data are compared. Results show that the SNR of the boundary potentials obtained with gold electrode array is higher than that of a stainless steel array. Resistivity images reconstructed using EIDORS showed that the image quality is improved with gold electrode array.

An Introduction To The Event Related Potential Technique

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Introduction to the Finite Element Method

Abstract: This chapter introduces the finite element method (FEM) as a tool for solution of classical electromagnetic problems. Although we discuss the main points in the application of the finite element method to electromagnetic design, including formulation and implementation, those who seek deeper understanding of the finite element method should consult some of the works listed in the bibliography section.

Wearable sensors: modalities, challenges, and prospects

Abstract: Wearable sensors have recently seen a large increase in both research and commercialization. However, success in wearable sensors has been a mix of both progress and setbacks. Most of commercial progress has been in smart adaptation of existing mechanical, electrical and optical methods of measuring the body. This adaptation has involved innovations in how to miniaturize sensing technologies, how to make them conformal and flexible, and in the development of companion software that increases the value of the measured data. However, chemical sensing modalities have experienced greater challenges in commercial adoption, especially for non-invasive chemical sensors. There have also been significant challenges in making significant fundamental improvements to existing mechanical, electrical, and optical sensing modalities, especially in improving their specificity of detection. Many of these challenges can be understood by appreciating the body's surface (skin) as more of an information barrier than as an information source. With a deeper understanding of the fundamental challenges faced for wearable sensors and of the state-of-the-art for wearable sensor technology, the roadmap becomes clearer for creating the next generation of innovations and breakthroughs.

The Essential Physics Of Medical Imaging

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