Shiv Nadar University

About: Shiv Nadar University is a education organization based out in Dadri, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Graphene. The organization has 1015 authors who have published 1924 publications receiving 18420 citations.

Single and Dual Surfactants Coated Hydrophilic Superparamagnetic Iron Oxide Nanoparticles for Magnetic Fluid Hyperthermia Applications.

Abstract: Superparamagnetic iron oxide nanoparticles (SPIONs) have found applications in the magnetic fluid hyperthermia (MFH) due to their unique magnetic properties, chemical stability and biocompatibility. However, challenges exist in attaining high heating efficiencies of the SPIONs under the applied alternating magnetic fields below Hergt's biological safety limit. Here, we present synthesis of single surfactant (pyromellitic acid (PMA)/2-aminoterephthalic acid (ATA)) and dual surfactants (PMA-ATA) coated SPIONs via chemical co-precipitation method and characterization to determine their phase purity, surface coatings and particle sizes. The hydrodynamic sizes/zeta potentials values of the SPIONs were determined for studying their water-dispersibility. Finally, the impact of heating on specific absorption rate (SAR) and intrinsic loss of power (ILP) were determined. SPIONs were found to exhibit magnetite phase and particle sizes in the range of 9-10 nm, good water dispersibility with (i) hydrodynamic diameters ranging from 190-304 nm and (ii) zeta potentials ranging from -38 mV to -49 mV. The ATA and PMA-ATA coated SPIONs showed better time-dependent temperature rise that resulted in higher heating efficacies-i.e., SAR and ILP values ranging from 58.6-79.5 W/gFe and 1.7-2.3 nHm²/Kg, respectively as compared to the PMA coated SPIONs. Thus, ATA and PMA-ATA coated SPIONs were found to be very promising candidates for their usage in MFH applications.

Removal of narrowband interference (PLI in ECG signal) using Ramanujan periodic transform (RPT)

Abstract: Suppression of interference from narrowband frequency signals play vital role in many signal processing and communication applications. A transform based method for suppression of narrow band interference in a biomedical signal is proposed. As a specific example Electrocardiogram (ECG) is considered for the analysis. ECG is one of the widely used biomedical signal. ECG signal is often contaminated with baseline wander noise, powerline interference (PLI) and artifacts (bioelectric signals), which complicates the processing of raw ECG signal. This work proposes an approach using Ramanujan periodic transform for reducing PLI and is tested on a subject data from MIT-BIH Arrhythmia database. A sum (E) of Euclidean error per block (e i ) is used as measure to quantify the suppression capability of RPT and notch filter based methods. The transformation is performed for different lengths (N), namely 36, 72, 108, 144, 180. Every doubling of N-points results in 50% reduction in error (E).