Respiratory Flows

A special issue of Fluids (ISSN 2311-5521).

Deadline for manuscript submissions: 31 October 2024 | Viewed by 748

Special Issue Editor


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Guest Editor
School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan, China
Interests: multiple-phase flows; computational fluid dynamics; numerical modeling; respiratory flow; biofluid mechanics; environmental fluid and the man-machine-engineering system
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Special Issue Information

Dear Colleagues,

The special issue on "Respiratory Flows" aims to explore and discuss the various aspects related to flows in the respiratory systems. The respiratory system plays a vital role in human health and disease, and understanding the flow patterns and mechanics within this system is crucial for improving medical interventions and treatments. This issue provides a platform for researchers, scientists, and engineers to share their latest findings, advancements, and challenges in understanding the complex flow patterns and phenomena occurring within the respiratory system. It will cover a wide range of topics, including but not limited to specific respiratory flow patterns, disease-related flow abnormalities, inhalation, and exhalation dynamics, inhaled drugs, virus transmission, particle toxicity, computational modeling, experimental investigations, and medical applications.

Keywords:

  • Respiratory System
  • Fluid Dynamics
  • Pulmonary Flow
  • Flow Patterns
  • Aerosol Deposition
  • Particle Transport
  • Disease-related Flow Abnormalities
  • Asthma
  • Chronic Obstructive Pulmonary Disease (COPD)
  • Cystic Fibrosis
  • Computational Modeling
  • Computational Fluid Dynamics (CFD)
  • Multi-scale Modeling
  • Numerical Methods
  • Patient-specific Simulations
  • Experimental Investigations
  • Imaging Techniques
  • Medical Applications
  • Therapeutic Approaches
  • Drug Delivery Techniques
  • Medical Devices
  • Diagnostic Procedures
  • Biomarkers
  • Particle toxicity
  • Virus transmission

These keywords encompass the core areas to be covered in the special issue, ensuring that a wide range of research in the field of respiratory flows is included. By encouraging contributions from experts in fluid dynamics, computational modeling, experimental research, and clinical applications, this issue aims to advance scientific knowledge, improve clinical interventions, and foster innovation in respiratory healthcare.

Dr. Xinguang Cui
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. Fluids is an international peer-reviewed open access monthly 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 1800 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.

Published Papers (1 paper)

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Research

23 pages, 2949 KiB  
Article
Real-Time Optimal Flow Setting and Respiratory Profile Evaluation in Infants Treated with High-Flow Nasal Cannula (HFNC)
by Francesco Montecchia and Paola Papoff
Fluids 2024, 9(4), 93; https://doi.org/10.3390/fluids9040093 - 18 Apr 2024
Viewed by 354
Abstract
High-flow nasal cannula (HFNC) is becoming the gold standard to treat respiratory distress at any age since it potentially provides several significant clinical advantages. An obstacle to the diffusion of this simple and effective system of oxygen therapy is the impossibility to know [...] Read more.
High-flow nasal cannula (HFNC) is becoming the gold standard to treat respiratory distress at any age since it potentially provides several significant clinical advantages. An obstacle to the diffusion of this simple and effective system of oxygen therapy is the impossibility to know the optimal flow rate leading to such advantages that allows the reduction in the respiratory effort without causing hyperinflation. To assist clinicians during HFNC treatment in setting the optimal flow rate and in determining the most relevant parameters related to respiratory mechanics and the effort of the patient, we developed a new programmable data monitoring, acquisition, and elaborating system (Pro_HFNC). The application of Pro_HFNC is fully compatible with HFNC as it is interfaced with patient through a facial mask and two specific catheters. The unavoidable and unpredictable loss of air flow occurring around the contour of the mask is evaluated and compensated by a specific algorithm implemented by Pro_HFNC. Our preliminary clinical trials on pediatric patients treated with HFNC show that Pro_HFNC is actually capable to detect for any specific patient both the lower threshold of the delivered flow beyond which the benefits of HFNC application are reached and all the parameters useful for a complete evaluation of the respiratory profile. Pro_HFNC can really help physicians in setting the optimal flow rate during HFNC treatment, thus allowing for the most effective HFNC performance. Full article
(This article belongs to the Special Issue Respiratory Flows)
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