Evidence map›Paper›PMID 40395425›Full record

ArticleEuropean heart journal. Digital health2025

Smartphone for heart sound measurement in hospital: feasibility and influencing factors.

Yun Li, Zhanjiang Zhao, Aikeliyaer Ainiwaer, Daoju Mei, Peirong Zhang, Frits W Prinzen, Hongxing Luo

Abstract read
In one paragraph

Article in European heart journal. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yun LiDepartment of Emergency, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
Zhanjiang ZhaoDepartment of Emergency, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
Aikeliyaer AiniwaerDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands.
Daoju MeiDepartment of Critical Care Medicine, Xinrui Hospital, Wuxi, Jiangsu, China.
Peirong ZhangDepartment of Emergency, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
Frits W PrinzenDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands.ORCID https://orcid.org/0000-0001-8917-9032
Hongxing LuoDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands.ORCID https://orcid.org/0009-0001-2389-8648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Smartphones have recently been utilized to measure heart sounds in the general population, but not yet in real-world hospital settings. This study aims to assess the feasibility of smartphones for heart sound measurement across various hospital departments and to identify the factors causing suboptimal heart sound measurements. Methods and results: The FonoCheck app was used to measure heart sounds from the chest of 296 hospitalized patients. Two assessors independently evaluated the quality of heart sound recordings based on the presence of the first and second heart sounds. Both environmental and patient-related factors were examined for their effects on heart sound quality. Visual assessments identified 254 (86%) good-quality heart sound recordings, with lower frequencies observed in the emergency room (67%), respiratory intensive care unit (78%), and general intensive care unit (82%). The heart sound recordings were affected by various types of noise, including respiration, conversation, motion, and interference from medical devices. However, patient demographics such as sex and body mass index were not associated with poor heart sound quality ( Conclusion: It is feasible to use smartphones to measure high-quality heart sounds in hospitals. However, environmental factors and patient's age may lead to suboptimal measurements. This study supports the future medical applications of FonoCheck app in hospital settings.

Indexed as

FonoCheckHeart soundHospitalQuality assessmentSmartphoneStethoscope

Identifiers

PMID40395425
PMCPMC12088729

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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.