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Record W4402334006 · doi:10.1016/j.bea.2024.100134

Acoustic airway clearance devices: A systematic review of experimental and numerical studies

2024· review· en· W4402334006 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiomedical Engineering Advances · 2024
Typereview
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsPolytechnique MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsAirwaySystematic reviewComputer scienceMedicineBiologyMEDLINESurgery

Abstract

fetched live from OpenAlex

• Categorized 14 airway clearance devices according to their working principles. • Discussed existing hot technologies, inconsistencies, and gaps behind the devices. • Reviewed both experimental and numerical studies from 1958 to 2024 in this field. • Evaluated devices regarding the multidisciplinary nature of airway clearance. • Identified the current and future trends in airway clearance devices. The global respiratory care devices market, including acoustic airway clearance devices (ACDs), is expected to experience a compound annual growth rate of 6.10 % from 2023 to 2030. However, there are a number of inconsistencies in the categorization and working frequency range from one discipline to another one. A better understanding of the mechanisms of action of these devices is therefore of prime importance in order for physicians, physiotherapists, scientists, and engineers to remain abreast of up-to-date studies in the field and specifically on the frequency range used. In the present review, we have categorized acoustic ACDs according to their working principles while reviewing their existing shortcomings in both experimental and numerical studies, thereby paving the way for future research directions. A total of 14 different ACDs are discussed, taking into account their working principle and frequency range, and classified as follows: mechano-acoustic devices, high-frequency chest wall compression (HFCWC), and high-frequency chest wall oscillation (HFCWO) for high-frequency chest compression (HFCC) and oral high-frequency oscillation (OHFO). Existing studies highlight that ACDs with HFCWC distinguish themselves from other devices by supplying compression in a homogeneous manner, allowing the delivery of both efficient and gentle therapy up to approximately 40 Hz. Notwithstanding, a stark difference in the working frequency range across the various devices was found and identified as a literature gap. Given that this difference arises from both experimental and numerical studies between the various disciplines, the studies are further classified according to their respective objectives, methodology and outputs to help readers quickly and straightforwardly locate the articles of interest for potential future investigations. The review also brings to light the interdisciplinary nature of ACDs, whereby numerical biomedical studies can actively assist experimental studies in terms of reproducibility and reliability, creating a digital twin of the human chest and its respective components.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.380
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.367
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it