Review and comparison of smoothing algorithms for one-dimensional data noise reduction

Kowalski, Paweł; Smyk, Robert

doi:10.1109/iiphdw.2018.8388373

Cited by 36 publications

(22 citation statements)

References 13 publications

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“…In addition, the proposed system utilized a signal smoothing filter to allow the correction of the frequency by eliminating the lowest frequency components of the system by approximately 40 Hz. Specifically, the system adopted the due to its low computational complexity and its high degree of noise removal [ 34 ]. Equation ( 2 ) represents the output of the application of the filter with a window of

, where

represents the value of the samples taken by the ES.…”

Section: System Designmentioning

confidence: 99%

Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities

Rosero-Montalvo

Fuentes-Hernández

Morocho-Cayamcela

et al. 2021

Sensors

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The analysis of plantar pressure through podometry has allowed analyzing and detecting different types of disorders and treatments in child patients. Early detection of an inadequate distribution of the patient’s weight can prevent serious injuries to the knees and lower spine. In this paper, an embedded system capable of detecting the presence of normal, flat, or arched footprints using resistive pressure sensors was proposed. For this purpose, both hardware- and software-related criteria were studied for an improved data acquisition through signal coupling and filtering processes. Subsequently, learning algorithms allowed us to estimate the type of footprint biomechanics in preschool and school children volunteers. As a result, the proposed algorithm achieved an overall classification accuracy of 97.2%. A flat feet share of 60% was encountered in a sample of 1000 preschool children. Similarly, flat feet were observed in 52% of a sample of 600 school children.

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, where

represents the value of the samples taken by the ES.…”

Section: System Designmentioning

confidence: 99%

Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities

Rosero-Montalvo

Fuentes-Hernández

Morocho-Cayamcela

et al. 2021

Sensors

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“…Since derivative spectrum is strongly sensitive to the noise in the original signal, the smoothing of spectral noise was decreased by the use of average-based spectral filter (ABSF) [24,25]. ABSF is given by.…”

Section: Smoothing Of Spectrummentioning

confidence: 99%

“…However, in order to mitigate distortion and improve noise removal, a filter of smaller width and more than one convolution were used (j = 1, 2 and 3; N = 20). A comparison of smoothing methods has been recently published by Kowalski and Smyk (2018) [25].…”

Section: Smoothing Of Spectrummentioning

confidence: 99%

Vibrational Spectrum Characterization of Outer Surface of Helicobacter Pylori Biofilms by Functionally-Enhanced Derivative Spectroscopy (Feds)

Palencia

García

Palencia

2020

J. Chil. Chem. Soc.

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Mid-infrared spectroscopy in conjunction with Functionally-Enhanced Derivative Spectroscopy (IR+FEDS) is a powerful analytical tool for the improvement of analysis of microorganism IR spectra. The objective of this research is to characterize the outer surface of two Helicobacter pylori strains by IR+FEDS. This work is a key stage for the study of cell-cell and cell-surface interactions between microorganisms, as well as, for polymicrobial biofilm characterizations where H. pylori species are involved. Artificial bacterial biofilms were deposited on ultrafiltration cellulose membranes covalently modified by insertion of one spectral marker and used as sensing surface for analysis of bacterial biolayers. Biolayers were analyzed using an infrared spectrophotometer with ATR. Data were analyzed by classic procedures and by deconvolution based on FEDS transform. It is concluded that, for correct application of technique is required a minimum amount of noise in the working spectra which can be achieved by simple smoothing algorithms; in addition, reproducibility must be warranted by the implementation of standardized protocols and the use of an appropriate number of samples. It is concluded that in addition to typical signals associated with the IR spectrum of microorganisms, by FEDS, a better and more detailed description of the outer membrane of H. pylori biofilms can be performed. In particular, it is concluded that the detecting and monitoring of cysteine-rich proteins can be satisfactorily performed by IR+FEDS.

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“…The algorithm provides relatively high sensitivity in strengthening horizontal edges and at the same time is insensitive to vertical edges [1][2][3][4][5][6]. The advantage of the algorithm is rapid execution and small amount of resources necessary for its implementation in the FPGA [4][5].…”

Section: Wire Detection Algorithmmentioning

confidence: 99%

“…It is essential to minimize the influence of potential failures of such lines by performing frequent inspections. This task can be achieved manually or partly automated using inspection robots like drones [1][2][3][4]. In this case, the research is focused on the impact of distance from the line on drones operation and the possibility of landing on wires.…”

Section: Introductionmentioning

confidence: 99%

Overhead wires detection by FPGA real-time image processing

Kowalski

Smyk

2019

ITM Web Conf.

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Review and comparison of smoothing algorithms for one-dimensional data noise reduction

Cited by 36 publications

References 13 publications

Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities

Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities

Vibrational Spectrum Characterization of Outer Surface of Helicobacter Pylori Biofilms by Functionally-Enhanced Derivative Spectroscopy (Feds)

Overhead wires detection by FPGA real-time image processing

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