Advances in Sleep and Respiratory Medicine

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 116

Special Issue Editor


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Guest Editor
Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
Interests: medical technology; sleep medicine; chest medicine; air pollution

Special Issue Information

Dear Colleagues,

Sleep and respiratory disorders are increasingly recognized as significant contributors to global morbidity and mortality, with growing implications for public health and healthcare systems. This Special Issue, entitled “Advances in Sleep and Respiratory Medicine”, aims to showcase the latest research, innovations, and clinical advancements in the diagnosis, treatment, and management of conditions such as obstructive sleep apnea (OSA), chronic obstructive pulmonary disease (COPD), insomnia, hypersomnia, and other related disorders.

We welcome the submission of original research articles, clinical trials, review papers, and translational studies that explore novel diagnostic tools (e.g., wearable sensors, wireless monitoring), therapeutic interventions (e.g., CPAP optimization), and integrative approaches that link respiratory health with cardiovascular, neurological, or metabolic outcomes. We particularly encourage the submission of studies incorporating artificial intelligence, big data analytics, and digital health solutions in sleep and respiratory care.

Dr. Cheng-Yu Tsai
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 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. Diagnostics 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

  • sleep and respiratory disorders
  • chest medicine
  • AI in healthcare
  • digital technology
  • precision diagnostics

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Published Papers (1 paper)

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23 pages, 1469 KiB  
Systematic Review
Radar-Based Detection of Obstructive Sleep Apnea: A Systematic Review and Network Meta-Analysis of Diagnostic Accuracy Across Frequency Bands
by Nguyen Binh Minh Hoang Tran, Thi Quynh Trang Tran, Cheng-Yu Tsai and Jiunn-Horng Kang
Diagnostics 2025, 15(16), 2111; https://doi.org/10.3390/diagnostics15162111 - 21 Aug 2025
Abstract
Background: Obstructive sleep apnea (OSA) is one of the most prevalent yet underdiagnosed sleep disorders. We evaluated the diagnostic accuracy of radar-based systems and ranked frequency bands for the non-contact detection of OSA. Methods: A systematic search of six databases was [...] Read more.
Background: Obstructive sleep apnea (OSA) is one of the most prevalent yet underdiagnosed sleep disorders. We evaluated the diagnostic accuracy of radar-based systems and ranked frequency bands for the non-contact detection of OSA. Methods: A systematic search of six databases was conducted from inception to May 23, 2025. Eligible studies included adults assessed for OSA using radar-based systems compared to polysomnography. Hierarchical SROC modeling, threshold-based meta-analyses, and frequency band-stratified network meta-analysis were performed. Certainty of evidence was assessed using GRADE. The PROSPERO registration number is CRD420251059236. Results: We identified 23,906 records and included 20 studies involving 1540 participants. The primary outcome included a high area under the curve (AUC) of approximately 0.91, an optimal apnea–hypopnea index (AHI) cutoff of ≥22 with a sensitivity of 0.8155 (95% confidence interval (CI): 0.6862–0.8993) and specificity of 0.8819 (95% CI: 0.7799–0.9402). At an AHI threshold of 30, X-band dual radar performed the best, followed by K-band, which yielded significant but more variable results. C-bands consistently showed lower diagnostic values. Conclusions: This study provides a novel radar band comparison for OSA detection, highlighting clinically relevant thresholds. Key limitations are indirect comparisons and limited, varied samples. Radar-based systems show high sensitivity for OSA detection, optimized by frequency, radar type, artificial intelligence support, and dual sensors within 0.2–1.5 m. Future work should expand the frequency analysis, standardize AHI thresholds, and validate results in specific subgroups. Full article
(This article belongs to the Special Issue Advances in Sleep and Respiratory Medicine)
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