Swagata Devi
National Institute of Technology, Silchar
12 Papers
14 Citations
Swagata Devi is an academic researcher from National Institute of Technology, Silchar. The author has contributed to research in topics: Computer science & Preamplifier. The author has an hindex of 1, co-authored 6 publications. Previous affiliations of Swagata Devi include Tezpur University.
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Papers
A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics
TL;DR: In this article , a broad survey of bio-inspired multiparameter optimization methods is presented, with a focus on the use of biomimetic algorithms in two related wide fields, namely microelectronics and nanophotonics, including inverse design of structures such as photonic crystals, nanoplasmonic configurations and metamaterials.
Physiological measurement platform using wireless network with Android application
Swagata Devi,Soumik Roy +1 more
TL;DR: A mobile physiological measurement platform that will continuously monitor the heart rate and the oxygen level of a patient and the medical staff or the caregiver can provide care to patients without being in close proximity is proposed.
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Survey on various architectures of preamplifiers for electroencephalogram (EEG) signal acquisition
Swagata Devi,Koushik Guha,Krishna Lal Baishnab,Jacopo Iannacci,Narayan Krishnaswamy +4 more
- 07 Feb 2022
TL;DR: This paper presents a comprehensive review of several low power pre‐amplifiers used in various physiological signal recording applications, along with their performance evaluation in terms of various key parameters such as gain, signal-to-noise ratio bandwidth, common-mode rejection ratio (CMRR) and more.
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Modelling and analysis of a modified preamplifier for seizure detection
Swagata Devi,Koushik Guha,Naushad Manzoor Laskar,Sourav Nath,Krishna Lal Baishnab,Jacopo Iannacci,Narayan Krishnaswamy +6 more
Abstract: This paper proposes a modified version of recycling folded cascode amplifier. A comparative study, modelling and analysis of the proposed design along with conventional folded cascode and recycling folded cascode have been presented in this work. The design is intended for use as a preamplifier in an epileptic neurostimulator circuit, which ensures high gain, low noise low power trade-off and smaller bandwidth (lower than 500 Hz) as the primary criteria. An adaptive biasing technique is implemented to enhance the key performance parameters like intrinsic gain, slew rate and gain-bandwidth product. Also, the proposed device works in weak inversion region to ensure ultra-low power consumption. There are various neurostimulators categorized as Deep Brain Stimulation and Vagus Nerve Stimulation reported in the literature so far. However the proposed design considers high-frequency oscillations (HFO) as the biomarker of focal epileptic seizures, owing to its occurrence in higher frequencies, thereby asserting a bandwidth less than 500 Hz. The simulations for the designed structures are carried out in Cadence Virtuoso using SCL 180 nm technology, with an operating voltage 0.6 V. The simulation results illustrate the improvement in several parameters: intrinsic DC gain by 14 dB with a consumed power of 1.782 µW, and an input-referred noise of 10.97 µV/√Hz @1 Hz, establishing that the design works with ultra-low power consumption. Analytical modelling and comparative analysis of the proposed as well as conventional designs have been performed. Additionally comparison has been drawn between the pre-layout and post layout simulation results which shows close matching between each other. Furthermore, Monte Carlo analysis has been performed on the proposed design to validate its consistency and dependability.
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Metaheuristic algorithms-based approach for optimal design of improvised fully differential amplifier for biomedical applications
Swagata Devi,Koushik Guha,Krishna Lal Baishnab +2 more
- 19 May 2021
TL;DR: In this paper, a metaheuristic-based approach for optimal solution of improvised amplifier for low power application keeping in special focus on area minimization is presented, where the optimal aspect ratios and the biasing currents of the transistors are established with reference to the analytical model of the amplifier so as to consider its area as an objective function.
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