FrWT-PPCA-based R-peak detection for improved management of healthcare system

V Gupta, M Mittal, V Mittal - IETE Journal of Research, 2023 - Taylor & Francis
Fourier analysis is well known to provide complete information of the frequencies present in
a signal. But in the process, time information is lost. Therefore, its time-frequency …

Fiber Bragg grating sensor-based temperature monitoring of solar photovoltaic panels using machine learning algorithms

S Dhanalakshmi, P Nandini, S Rakshit, P Rawat… - Optical fiber …, 2022 - Elsevier
Abstract Fiber Bragg Grating (FBG) sensors are an emerging and prominent optical sensing
technology of accurately measuring strain, depth, temperature, density, and several physical …

R-peak detection using chaos analysis in standard and real time ECG databases

V Gupta, M Mittal, V Mittal - Irbm, 2019 - Elsevier
Objectives Timely and accurate R-peak detection is very important for analyzing
electrocardiogram (ECG) signal in critical conditions. The main obstacle in observing the …

Intra and inter-patient arrhythmia classification using feature fusion with novel feature set based on fractional-order and fibonacci series

A Kaur, S Kumar, R Agarwal, A Agarwal - Biomedical Signal Processing …, 2022 - Elsevier
Cardiac ailments are increasing at an alarming rate globally due to the sedentary lifestyle
and increased desk-bound activities. For decades, the ECG signal is used in aiding the …

Efficient design of zero-phase Riesz fractional order digital differentiator using manta-ray foraging optimisation for precise electrocardiogram QRS detection

C Nayak, SK Saha, R Kar… - IEEE open Journal of …, 2020 - ieeexplore.ieee.org
This article introduces a new design of an optimised zero-phase response fractional order
digital differentiator (FODD) called Riesz FODD of half order by employing a recently …

Optimal design of zero-phase digital Riesz FIR fractional-order differentiator

C Nayak, SK Saha, R Kar, D Mandal - Soft Computing, 2021 - Springer
This article introduces an optimal design of finite impulse response-type Riesz fractional-
order digital differentiator (FODD) of orders p= 0.3, 0.5, and 0.75. A very little study on Riesz …

Adaptive-sized residual fusion network-based segmentation of biomedical images

M Ganga, N Janakiraman - Engineering Optimization, 2024 - Taylor & Francis
Medical imaging is crucial in examinations and for providing appropriate patient care.
Medical images are used to diagnose and identify specific conditions. However, the …

A robust method to reliable cardiac qrs complex detection based on shannon energy and teager energy operator

H Beyramienanlou - Circuits, Systems, and Signal Processing, 2021 - Springer
The QRS complex is considered to be one of the main factors in diagnosing heart diseases;
thus, its detection on the electrocardiogram signals has become the target of various types of …

A Multiobjective Metaheuristic Algorithm Perspective to Design Riesz Digital Differentiator Exhibiting Zero-Phase Response

C Nayak - Engineering Applications of AI and Swarm Intelligence, 2024 - Springer
Due to the uncertainty and inherent complexity in the zero-phase digital Riesz differentiator-
type optimisation problem, numerous distinct objectives must be taken into account together …

[PDF][PDF] Guided filtering based efficient digital differentiator design for electrocardiogram signal processing

D Jain, SN Sharma, A Jain - Int J Intell Eng Syst, 2021 - inass.org
Digital differentiation is an important phenomenon in digital signal processing to finding out
sudden changes in signal. In this paper design of digital differentiator based on Fourier …