Evidence map›Paper›PMID 33436354›Full record

ArticleJMIR medical informatics2021

A Low-Cost, Ear-Contactless Electronic Stethoscope Powered by Raspberry Pi for Auscultation of Patients With COVID-19: Prototype Development and Feasibility Study.

Chuan Yang, Wei Zhang, Zhixuan Pang, Jing Zhang, Deling Zou, Xinzhong Zhang, Sicong Guo, Jiye Wan, Ke Wang, Wenyue Pang

Abstract read
In one paragraph

Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Prototype design and realization of a portable heart sounds detection system.Medical & biological engineering & computing · 2026
    Article
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

10 authors.

Chuan YangDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0003-3794-7153
Wei ZhangDepartment of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-7593-9894
Zhixuan PangSewickley Academy Senior High School, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-8181-8434
Jing ZhangSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0003-4727-3754
Deling ZouDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-5313-0031
Xinzhong ZhangDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0003-0159-5870
Sicong GuoDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-6154-9350
Jiye WanDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0001-7452-7655
Ke WangDepartment of Cardiac Surgery, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-3003-5605
Wenyue PangDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-2431-9679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChest examination by auscultation is essential in patients with COVID-19, especially those with poor respiratory conditions, such as severe pneumonia and respiratory dysfunction, and intensive cases who are intubated and whose breathing is assisted with a ventilator. However, proper auscultation of these patients is difficult when medical workers wear personal protective equipment and when it is necessary to minimize contact with patients.

objectiveThe objective of our study was to design and develop a low-cost electronic stethoscope enabling ear-contactless auscultation and digital storage of data for further analysis. The clinical feasibility of our device was assessed in comparison to a standard electronic stethoscope.

methodsWe developed a prototype of the ear-contactless electronic stethoscope, called Auscul Pi, powered by Raspberry Pi and Python. Our device enables real-time capture of auscultation sounds with a microspeaker instead of an earpiece, and it can store data files for later analysis. We assessed the feasibility of using this stethoscope by detecting abnormal heart and respiratory sounds from 8 patients with heart failure or structural heart diseases and from 2 healthy volunteers and by comparing the results with those from a 3M Littmann electronic stethoscope.

resultsWe were able to conveniently operate Auscul Pi and precisely record the patients' auscultation sounds. Auscul Pi showed similar real-time recording and playback performance to the Littmann stethoscope. The phonocardiograms of data obtained with the two stethoscopes were consistent and could be aligned with the cardiac cycles of the corresponding electrocardiograms. Pearson correlation analysis of amplitude data from the two types of phonocardiograms showed that Auscul Pi was correlated with the Littmann stethoscope with coefficients of 0.3245-0.5570 for healthy participants (P<.001) and of 0.3449-0.5138 among 4 patients (P<.001).

conclusionsAuscul Pi can be used for auscultation in clinical practice by applying real-time ear-contactless playback followed by quantitative analysis. Auscul Pi may allow accurate auscultation when medical workers are wearing protective suits and have difficulties in examining patients with COVID-19.

trial registrationChiCTR.org.cn ChiCTR2000033830; http://www.chictr.org.cn/showproj.aspx?proj=54971.

Indexed as

auscultationCOVID-19digital healthear-contactlesslow-costphonocardiogramPythonRaspberry Pistethoscope

Identifiers

PMID33436354
PMCPMC7817256

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.