Evidence map›Paper›PMID 41684498›Full record

ReviewJournal of medical physics

Advancements in Body Sound Diagnostics: Exploring Acoustic Signals for Medical Applications and Future Research Directions.

J A P Bodhika, U L L S Perera, N T Senadeera

Abstract readReview
In one paragraph

Review in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

J A P BodhikaDepartment of Physics, University of Ruhuna, Matara, Sri Lanka.
U L L S PereraDepartment of Physics, University of Ruhuna, Matara, Sri Lanka.
N T SenadeeraDepartment of Physics, University of Ruhuna, Matara, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on acoustic signals generated by the human body remains limited but holds significant potential for advancing medical diagnostics. This review comprehensively explores various body sounds, including cardiovascular sounds, bowel sounds, brain sounds, musculoskeletal sounds, respiratory and lung sounds, and swallowing sounds. For each category, the review examines the origin, frequency range, acquisition techniques, transducers, and signal processing methods. Special emphasis is placed on the diagnostic applications of these sounds, highlighting their clinical relevance. Recent advancements in medical technology, particularly digital auscultation and machine learning algorithms, are revolutionizing the analysis of body sounds, offering new tools for accurate and efficient diagnostics. This review provides a thorough overview of current research on body sound acquisition and processing methods, underscores their significance in medical practice, and identifies existing knowledge gaps and future research opportunities.

Indexed as

Clinical applicationshuman body soundsmedical diagnosticssound acquisition

Identifiers

PMID41684498
PMCPMC12893355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.