Advanced Sensing and Processing Methods for Non-Invasive Assessment and Monitoring of Chronic Disorders
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 400
Special Issue Editors
Interests: wearable sensors; artificial intelligence; biomedical signal processing; digital health; telemonitoring; machine learning; deep learning; gait analysis; movement analysis; classification; neural networks
Special Issues, Collections and Topics in MDPI journals
Interests: applied acoustics; wearable sensors; Parkinson's disease; noise control; industrial applications
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; human activity recognition; signal processing; wearables; Parkinson's disease
Interests: Artificial Intelligence of Things (AIoT); Human Activity Recognition (HAR); Internet of Medical Things (IoMT); sensing technologies (i.e., Wearables, environmental, and radio-based)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The health management landscape is undergoing a profound transformation with the advent of advanced sensing technologies and innovative data processing methods. This Special Issue aims to explore the cutting edge of non-invasive monitoring solutions for chronic disorders, exploiting state-of-the-art sensing modalities such as wearable sensors, cameras, radar systems, radio sensing (i.e., ultrawideband, wi-fi, mm-Wave), smart patches, and smart clothes. These technologies, when combined with sophisticated signal processing, machine learning, and deep learning techniques, offer unprecedented opportunities for the early diagnosis, continuous monitoring, detailed characterization, assessment of response to therapy, and rehabilitation of chronic conditions, including cardiovascular disease, diabetes, musculoskeletal disorders, and neurological diseases.
Non-invasive advanced sensing and data analytics enable continuous and comprehensive monitoring in patients' everyday environments, increasing health assessment accuracy and improving patient comfort and compliance. The integration of these innovations can lead to more effective management strategies and a better quality of life for people with chronic diseases.
This Special Issue aims to present a collection of high-quality research articles highlighting clinical applications and technological advances in the field of non-invasive monitoring. We encourage the submission of articles that demonstrate new detection technologies, state-of-the-art processing methods, and their practical applications in healthcare. Topics of interest include, but are not limited to, the following:
- Development and validation of wearable sensors, smart patches, and smart clothes for chronic disorder monitoring;
- Application of cameras, radar, and radio-based systems for non-invasive health assessments;
- Advanced signal processing techniques for accurate and reliable data extraction;
- Machine learning and deep learning approaches for predictive analytics and personalized treatment strategies;
- Continuous monitoring solutions and their impact on chronic disease management;
- Case studies showcasing successful integration of non-invasive monitoring technologies in clinical practice;
- Innovations in therapy response assessment and rehabilitation using non-invasive methods.
Authors are invited to submit original and unpublished research articles and review articles that align with the theme of this Special Issue. We seek to foster a multidisciplinary approach, welcoming contributions from physicians, biomedical engineers, data scientists, electronic engineers, and other specialized professionals. The overall objective is to advance the field of non-invasive monitoring and improve clinical outcomes for patients with chronic disorders.
Dr. Luigi Borzì
Dr. Ignacio Pavón
Dr. Luis Sigcha
Dr. Florenc Demrozi
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.
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Keywords
- cardiovascular diseases
- diabetes
- neurological disorders
- wearable sensors
- camera-based systems
- radar systems
- radio-based sensing
- smart sensing
- signal processing
- machine learning
- deep learning
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