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Sensing Signals for Biomedical Monitoring—2nd Edition

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

Deadline for manuscript submissions: 31 January 2026 | Viewed by 536

Special Issue Editor

Special Issue Information

Dear Colleagues,

Building upon the success and significant impact of our previous edition, we are delighted to announce the call for papers for the second edition of our Special Issue: “Sensing Signals for Biomedical Monitoring—2nd Edition”. This timely and crucial field has become increasingly central to the evolution of modern medical care, offering unprecedented opportunities for proactive health management, personalized diagnostics, and enhanced therapeutic interventions.

Biomedical monitoring sensors serve as the vital interface between the human body and advanced analytical systems, meticulously detecting and recording a diverse array of physiological signals. These encompass fundamental indicators such as heart rate and blood pressure, intricate neurological activity, respiratory patterns, biochemical markers, and beyond. The rich datasets generated hold immense potential to unlock deeper insights into physiological states, facilitate early disease detection, guide precise treatment strategies, and ultimately improve patient outcomes.

However, the translation of raw physiological signals into actionable clinical intelligence presents significant challenges. The inherent complexity and variability of these signals necessitate the application of sophisticated signal processing methodologies, cutting-edge artificial intelligence algorithms, and robust data analytics frameworks. Furthermore, the seamless integration of advanced sensing technologies, efficient data acquisition systems, and user-friendly interfaces is paramount for the widespread adoption and clinical utility of biomedical monitoring solutions.

In this context, we cordially invite you to contribute to this pivotal second edition under the overarching theme of “Sensing Signals for Biomedical Monitoring.” We welcome submissions that showcase original research, insightful practice papers, and comprehensive systematic reviews that address the multifaceted landscape of biomedical monitoring.

Beyond the foundations laid in our first edition, this second edition aims to explore emerging trends, novel methodologies, and transformative applications within the field. Suggested topics include, but are not limited to, the following:

  • Advanced Signal Processing Techniques: Innovative algorithms for noise reduction, artifact removal, feature extraction, and multi-modal signal fusion in biomedical data.
  • Artificial Intelligence and Machine Learning for Healthcare: The development and validation of AI/ML models for disease prediction, diagnosis, prognosis, personalized treatment recommendations, and anomaly detection in physiological signals.
  • Next-Generation Biomedical Sensors: Novel sensor designs, materials, and fabrication techniques for wearable, implantable, and point-of-care monitoring, focusing on enhanced sensitivity, specificity, biocompatibility, and longevity.
  • Data Acquisition and Management Systems: Architectures and protocols for efficient, secure, and scalable acquisition, transmission, storage, and analysis of large-scale biomedical datasets.
  • Internet of Medical Things (IoMT) and Connected Health: The role of IoT in remote patient monitoring, telehealth applications, and the integration of biomedical sensors with smart devices and cloud platforms.
  • Security and Privacy in Biomedical Monitoring: Addressing the critical challenges of data security, privacy preservation, and ethical considerations in the collection and use of sensitive physiological information.
  • Clinical Validation and Translational Research: Studies focused on the clinical evaluation of biomedical monitoring technologies, their integration into healthcare workflows, and their impact on patient care and disease management.
  • Personalized and Precision Medicine: Leveraging biomedical monitoring data to tailor diagnostic and therapeutic strategies to individual patient needs.
  • Emerging Applications: Innovative uses of biomedical monitoring in areas such as sports medicine, rehabilitation, wellness programs, and the early detection of subtle physiological changes.
  • Standardization and Interoperability: Efforts towards establishing common standards and ensuring seamless data exchange between different biomedical monitoring systems.

We believe that this second edition will serve as a significant platform for disseminating cutting-edge research, fostering interdisciplinary collaboration, and shaping the future trajectory of biomedical monitoring. Your valuable contributions will undoubtedly enrich the scientific discourse and accelerate the translation of innovative sensing technologies into tangible benefits for global healthcare.

We eagerly anticipate receiving your high-quality submissions.

Prof. Dr. Carlos M. Travieso-González
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • biomedical monitoring
  • sensing signals
  • artificial intelligence for healthcare
  • wearable sensors
  • data acquisition and management

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Published Papers (1 paper)

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Research

25 pages, 4787 KB  
Article
Implementation of Vital Signs Detection Algorithm for Supervising the Evacuation of Individuals with Special Needs
by Krzysztof Konopko, Dariusz Janczak and Wojciech Walendziuk
Sensors 2025, 25(23), 7391; https://doi.org/10.3390/s25237391 - 4 Dec 2025
Viewed by 227
Abstract
The article describes a system for monitoring the vital parameters of evacuated individuals, integrating three key functionalities: pulse detection, verification of wristband contact with the skin, and motion recognition. For pulse detection, the system employs the MAX30102 optical sensor and a signal processing [...] Read more.
The article describes a system for monitoring the vital parameters of evacuated individuals, integrating three key functionalities: pulse detection, verification of wristband contact with the skin, and motion recognition. For pulse detection, the system employs the MAX30102 optical sensor and a signal processing algorithm presented in the study. The algorithm is based on spectral analysis using the Fast Fourier Transform (FFT) and incorporates a nonparametric estimator of the probability density function (PDF) in the form of Kernel Density Estimation (KDE). This developed real-time algorithm enables reliable assessment of vital parameters of evacuated individuals. The wristband contact with the skin is verified by measuring the brightness of backscattered light and the temperature of the wrist. Motion detection is achieved using the MPU-9250 inertial module, which analyzes acceleration across three axes. This allows the system to distinguish between states of rest and physical activity, which is crucial for accurately interpreting vital parameters during evacuation. The experimental studies, which were performed on a representative group of individuals, confirmed the correctness of the developed algorithm. The system ensures reliable monitoring of vital parameters by combining precise pulse detection, skin contact verification, and motion analysis. The classifier achieves nearly 95% accuracy and an F1-score of 0.9465, which indicates its high quality. This level of effectiveness can be considered fully satisfactory for evacuation monitoring systems. Full article
(This article belongs to the Special Issue Sensing Signals for Biomedical Monitoring—2nd Edition)
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