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Sensors Technologies for Measurements and Signal Processing
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Sensors Technologies for Measurements and Signal Processing

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 1413

Special Issue Editors

Dr. Minh Long Hoang

E-Mail Website
Guest Editor
Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy
Interests: MEMS; IMU sensors; machine learning; deep learning; signal processing; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Dr. Vikram Pakrashi

E-Mail Website
Guest Editor
School of Mechanical and Materials Engineering, University College Dublin, Dublin 4, Ireland
Interests: vibration; energy harvesting; structural health monitoring and control; smart materials and structures; dynamical systems; risk quantification and reliability analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in sensor technology and signal processing are transforming numerous fields, from healthcare and environmental monitoring to industrial automation and smart cities. As sensors become increasingly integrated into both consumer and industrial applications, there is a growing need for accurate, reliable, and efficient measurement systems capable of real-time data processing. This Special Issue aims to showcase innovative research and practical applications in sensor design, data acquisition, and signal analysis.

We invite researchers, professionals, and industry experts to submit the original research articles, review papers, and case studies for the Special Issue "Sensor Technologies for Measurements and Signal Processing."

Topics of Interest:

  • Development and optimization of sensors for advanced measurements;
  • Signal processing techniques for real-time data analysis;
  • Novel applications of sensors in IoT, wearable devices, and embedded systems;
  • Integration of MEMS sensors in measurement applications;
  • Smart sensors, data fusion, and machine learning in sensor technology.

Mirco Mongilli ([email protected])
Guest Editor Assistant

Dr. Minh Long Hoang
Dr. Vikram Pakrashi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sensor technology
  • measurement systems
  • signal processing
  • MEMS sensors
  • data fusion
  • real-time data analysis
  • precision measurements
  • adaptive signal processing
  • condition monitoring

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

16 pages, 4104 KiB  
Article
Range Extension of Borehole Strainmeters Using MOSFET-Based Multi-Switch Automatic Zero Setting
by Chen Yang, Zheng Chen, Hong Li, Wenbo Wang, Weiwei Zhan, Liheng Wu, Yunkai Dong and Jiaxin Chen
Sensors 2025, 25(2), 476; https://doi.org/10.3390/s25020476 - 15 Jan 2025
Viewed by 338
Abstract
Borehole strainmeters are essential tools for observing crustal deformation. In long-term observational applications, the dynamic changes in crustal deformation over multi-year scales often exceed the single measurement range of borehole strainmeters. Expanding the measurement range while maintaining high precision is a critical technical [...] Read more.
Borehole strainmeters are essential tools for observing crustal deformation. In long-term observational applications, the dynamic changes in crustal deformation over multi-year scales often exceed the single measurement range of borehole strainmeters. Expanding the measurement range while maintaining high precision is a critical technical challenge. To address this, a full-range measurement system was developed using a bidirectional analog multi-switch based on MOS transistors and automatic feedback control. This system automatically adjusts the zero point of the measurement bridge, maintaining the bridge output at a near-balanced state. The quantifiable zero-setting actions are dynamically converted into equivalent voltage, enabling automatic full-range measurements while fully utilizing the effective linear range of the differential capacitive sensors. A laboratory performance tests demonstrated that an RZB borehole strainmeter equipped with this automatic zero-setting range extension system successfully covers the differential capacitive sensor’s effective linear range of approximately 100 μm. Full article
(This article belongs to the Special Issue Sensors Technologies for Measurements and Signal Processing)
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18 pages, 4214 KiB  
Article
A Spectroscopic Methodology to Early Detection of Urinary Tract Infections
by Ana F. N. S. Mendes, Nuno Matela, João M. P. Coelho and Joaquim T. Marquês
Sensors 2025, 25(2), 400; https://doi.org/10.3390/s25020400 - 11 Jan 2025
Viewed by 424
Abstract
Healthcare-associated infections (HAI) are a critical public health problem, with 30 to 40% of infections related to the urinary tract system. These urinary tract infections (UTIs) are considered one of the most common microbial infections in hospital settings and everyday community contexts, where [...] Read more.
Healthcare-associated infections (HAI) are a critical public health problem, with 30 to 40% of infections related to the urinary tract system. These urinary tract infections (UTIs) are considered one of the most common microbial infections in hospital settings and everyday community contexts, where approximately 80% are highly correlated with urinary catheter insertion, i.e., catheter-associated urinary tract infections (CAUTIs). Considering that 15 to 25% of hospitalised patients need to be catheterised during their treatments and most CAUTIs are asymptomatic, it results in a tremendous challenge to provide an early diagnosis of CAUTI and therefore initiate its treatment. The lack of standardised methods as a first step for urine monitoring and early detection of UTIs is the driving force of this work, which aims to explore the potential of absorption and fluorescence spectroscopic methodologies to detect UTIs. Urine samples were used without any previous treatment to target the most straightforward testing protocol possible. In this work, we successfully developed a powerful methodology that combines ratiometric fluorescence spectroscopy measurements and transmittance at 600 nm to distinguish healthy urine from infected urine. The complementary use of fluorescence spectroscopy and transmittance is what makes the new methodology we propose such a powerful approach to monitor urine samples and provide early detection of UTIs since it provides a quantitative analysis of both healthy and infected urine. Full article
(This article belongs to the Special Issue Sensors Technologies for Measurements and Signal Processing)
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Graphical abstract

19 pages, 4813 KiB  
Article
Modeling of Electric Field and Dielectrophoretic Force in a Parallel-Plate Cell Separation Device with an Electrode Lid and Analytical Formulation Using Fourier Series
by Daiki Nishikawa, Yoshinori Seki and Shigeru Tada
Sensors 2025, 25(1), 185; https://doi.org/10.3390/s25010185 - 31 Dec 2024
Viewed by 378
Abstract
Dielectrophoresis (DEP) cell separation technology is an effective means of separating target cells which are only marginally present in a wide variety of cells. To develop highly efficient cell separation devices, detailed analysis of the nonuniform electric field’s intensity distribution within the device [...] Read more.
Dielectrophoresis (DEP) cell separation technology is an effective means of separating target cells which are only marginally present in a wide variety of cells. To develop highly efficient cell separation devices, detailed analysis of the nonuniform electric field’s intensity distribution within the device is needed, as it affects separation performance. Here we analytically expressed the distributions of the electric field and DEP force in a parallel-plate cell separation DEP device by employing electrostatic analysis through the Fourier series method. The solution was approximated by extrapolating a novel approximate equation as a boundary condition for the potential between adjacent fingers of interdigitated electrodes and changing the underlying differential equation into a solvable form. The distributions of the potential and electric fields obtained by the analytical solution were compared with those from numerical simulations using finite element method software to verify their accuracy. As a result, it was found that the two agreed well, and the analytical solution was obtained with good accuracy. Three-dimensional fluorescence imaging analysis was performed using live non-tumorigenic human mammary (MCF10A) cells. The distribution of cell clusters adsorbed on the interdigitated electrodes was compared with the analytically obtained distribution of the DEP force, and the mechanism underlying cell adsorption on the electrode surface was discussed. Furthermore, parametric analysis using the width and spacing of these electrodes as variables revealed that spacing is crucial for determining DEP force. The results suggested that for cell separation devices using interdigitated electrodes, optimization by adjusting electrode spacing could significantly enhance device performance. Full article
(This article belongs to the Special Issue Sensors Technologies for Measurements and Signal Processing)
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