Aman Gupta

Bio: Aman Gupta is an academic researcher from College of Engineering, Pune. The author has contributed to research in topics: Signal & Magnetorquer. The author has an hindex of 1, co-authored 2 publications receiving 4 citations.

Hardware implementation and reduction of artifacts from ECG signal

Abstract: In today's modern world heart diseases is common not only for the elder people but also for the younger people. ECG is one of the important biomedical signal which is generally used to diagnosis the human heart. In this work hardware is designed and implemented to acquire a real time the electrocardiogram (ECG) signal and many medical practitioners used this technique for diagnosing but while recording this signal many noises knowingly or unknowingly are added to the ECG signal. Common noises which generally get added to the ECG are Baseline wandering, Power Line Interference, Instrumentation noise etc. These noises are present according to their frequency content. Different kinds of noisy signals are generated in MATLAB environment and add with the reference ECG signal which is taken from MIT-BIH arrhythmia database. For performing the filtering operation digital Finite impulse response filter is introduce to reduce the noise from the electrocardiogram signal and their performance has been analyzed on the basis of signal to noise ratio (SNR).

Design, Implementation and Comparison of Power Electronic Circuits for Current Control through 3-axis Magnetorquer coils in a Satellite

Abstract: This paper expounds different topologies for achieving precise control of current through a solenoid coil. Various power electronic circuits with different control strategies have been implemented. These novel topologies are aimed at achieving current control in the magnetorquer coils in a Nanosatellite. COEPSAT-2 is a student satellite mission aimed at demonstrating propulsion using solar sails. The magnetorquers are required to damp the angular velocities. Three topologies have been implemented and compared based on their transient response, ripple percentage, resolution etc. Limited literature is available on control strategies to drive a constant current through magnetorquer coils in satellites and this paper aims at bridging this gap. The topologies presented can be further extended to various low power applications across several industries; the current control in the magnetorquer of a satellite just exemplifies an application of the same. The paper presents the power electronic topology, control strategy and the comparative analysis of two novel closed loop topologies of current control and a popular open loop topology.

Design and Optimization of Air Core Magnetorquers for Attitude Control of LEO Nanosatellites

Abstract: Magnetorquers are widely used electromagnetic actuators for attitude control of low-Earth orbit nanosatellites. Due to the limited power budget, strict volume and mass constraints of standard nanosatellite formats, the magnetorquers need to be carefully designed. An optimal magnetorquer exhibits the required magnetic dipole moment while minimizing the mass and power consumption. Here, a multiobjective optimization based on the genetic algorithm is adopted to design two air core magnetorquers. The presented approach allows a designer to set acceptable range of the design parameters, which makes it timeefficient, powerful, and versatile as it can be easily applied to different design cases. The preliminary resistance measurements of the two prototyped magnetorquers show excellent agreement with the calculations within 3%.

Computation-efficient and compact FPGA design for a real-time wearable arrhythmia-detector

Abstract: The epidemic of diabetes, obesity and unhealthy lifestyles have highly contributed to increasing number of patients with heart problems. Wearable fitness trackers are not accurate enough in heart problem detection and the current software-based algorithms, when implemented in devices like smartwatches are not efficient in terms of hardware resource utilization and computational speed. To address these limitations, this paper proposes an automated heartbeat classifying hardware chip-design which can be placed in any kind of wearable device for real-time cardiac monitoring that would help to ensure early diagnosis of any kind of cardiac abnormality. The algorithm burnt on the hardware is a modification of the Pan-Tompkins beat-detection algorithm to which a novel classifier algorithm is added. It exhibits high computational speed with an accuracy of 99.65% in extremely noisy situations, when applied on the MIT/BIH arrhythmia database. The hardware utilization on the SPARTAN-6 FPGA for the presented design is just 32% allowing space for much more multi-tasking and upgrading to be done when implemented on a wearable device as an ASIC.

Quality evaluation of wavelet functions for myopulse suppression in electrocardiogram

Abstract: ECG is susceptible to parasitic myopulses due to the overlapping frequency bandwidth of ECG and EMG. EMG signal has a bandwidth of about 20–500 Hz and overlaps with the ECG frequency range. i.e. 0.05–150 Hz. These interferences occur due to movement of muscles and respiratory actions during ECG recording. Removal of EMG noise from ECG is an important criterion for proper analysis of the signal. In this study, we evaluated the denoising performance of wavelet functions by considering SNR as the quality judgement parameter. DWT provides better denoising over traditional filtering techniques. The level of decomposition plays an important role in denoising quality. There is variation in the performance of hard and soft thresholding with varying levels of decomposition. Hybrid thresholding is the best noise estimation and cancellation technique. Wavelet functions with more oscillations produce good denoising than others.

Improvement in Side Lobe Reduction in FIR Filter Design Using Proposed Hybrid Blackman Window

Abstract: To obtain better quality signal, processing of signal should be done. Digital filters are most widely used to processing the signal in communication system. Windowing is a scheme to represent Finite Impulse Response (FIR) filters. This paper, proposes a flexible hybrid Blackman window to design an FIR filter. By changing variable’s value window can be regulate. The hybrid Blackman window is convolution of Blackman & Blackman-Harris window in time domain and it shows better side-lobe rejection than some ordinary windows. the spectral properties of hybrid Blackman window compared with Gaussian, Hamming & Kaiser window and it can be seen that side-lobe fall off ratio of hybrid Blackman window (45.312 dB) is superior in comparison to Gaussian (13.832 dB), Hamming (5.804 dB) & Kaiser (22.162 dB) window. The Gaussian, Hamming & Kaiser window has ripple ratio −44.106 dB, −42.484 dB & −13.779 dB respectively, whereas the proposed window shows finer ripple ratio −47.225 dB.