Signal-based diagnostic approach to enhance fuel cell durability

E Pahon, D Hissel, S Jemei, NY Steiner - Journal of Power Sources, 2021 - Elsevier
To face the dependency to fossil fuels and limit the carbon emissions, fuel cells are a very
promising technology and appear to be a key candidate to face the increase of the energy …

A singular spectrum analysis-based model-free electrocardiogram denoising technique

SK Mukhopadhyay, S Krishnan - Computer Methods and Programs in …, 2020 - Elsevier
Background and objective An efficient and robust electrocardiogram (ECG) denoising
technique caters three-fold benefits in the subsequent processing steps: first, it helps …

FPGA-based low-cost architecture for R-peak detection and heart-rate calculation using lifting-based discrete wavelet transform

A Gon, A Mukherjee - Circuits, Systems, and Signal Processing, 2023 - Springer
This paper focuses on designing a field-programmable gate array (FPGA)-based
architecture for R-peak detection and heart rate calculation using lifting-based discrete …

Hardware emulation of a biorthogonal wavelet transform-based heart rate monitoring device

A Kumar, R Ranganatham, M Kumar… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
In this work, a low-power, area-efficient, and high-performance electrocardiogram (ECG)
detector that can be used in modern implantable cardiac pacemaker systems is proposed …

A novel approach for real-time ECG signal denoising using Fourier decomposition method

PM Tripathi, A Kumar, R Komaragiri… - Research on Biomedical …, 2022 - Springer
Object The heart is a vital organ in human anatomy, and proper care is essential.
Electrocardiogram (ECG) is a non-invasive and popular tool to monitor cardiac health. ECG …

A model to assess dengue using type 2 fuzzy inference system

S Adak, S Jana - Biomedical Signal Processing and Control, 2021 - Elsevier
Recently the vector-borne disease dengue has become one of those infectious diseases
with the potential of becoming endemic. Though dengue fever may occur at any time of the …

Adaptive swarm decomposition guided by spectral characteristic information scanner and its application for bearing fault diagnosis

Q Song, X Jiang, J Liu, X Wang, G Du… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Swarm decomposition (SWD) is an emerging signal decomposition method and has been
applied in the fault diagnosis of rotating machinery. However, the performance of SWD is …

Detection of dilated cardiomyopathy using pulse plethysmographic signal analysis

MU Khan, S Aziz, F Amjad… - 2019 22nd International …, 2019 - ieeexplore.ieee.org
Dilated Cardiomyopathy (DCM) is one of the cardiovascular diseases (CVDs) that is the root
cause leading towards other CVDs such as Arrhythmias and Myocardial infarction (MI). The …

[HTML][HTML] A general-purpose signal processing algorithm for biological profiles using only first-order derivative information

Y Liu, J Lin - BMC bioinformatics, 2019 - Springer
Background Automatic signal-feature extraction algorithms are crucial for profile processing
in bioinformatics. Both baseline drift and noise seriously affect the position and peak area of …

Improving the predictive response using ensemble empirical mode decomposition based soft sensors with auto encoder deep neural network

SLA Haleem, S Sodagudi, SA Althubiti, SK Shukla… - Measurement, 2022 - Elsevier
In industries, several key quality variables used in complex processes are immeasurable
online and are not reliable because of the factors like complex environmental criteria, limited …