Evidence map›Paper›PMID 34695968›Full record

ArticleSensors (Basel, Switzerland)2021

Heart and Lung Sound Measurement Using an Esophageal Stethoscope with Adaptive Noise Cancellation.

Nourelhuda Mohamed, Hyun-Seok Kim, Kyu-Min Kang, Manal Mohamed, Sung-Hoon Kim, Jae Gwan Kim

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

6 authors at 3 institutions in 1 country.

Nourelhuda MohamedBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.
Hyun-Seok KimBiomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul 05505, Korea.
Kyu-Min KangDepartment of Anesthesiology and Pain Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.
Manal MohamedBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.
Sung-Hoon KimDepartment of Anesthesiology and Pain Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.
Jae Gwan KimBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0002-1010-7712
Gwangju Institute of Science and Technology · KRUlsan College · KRAsan Medical Center · KR

Funding

Ministry of Health and Welfare HI18C2383
6 · The paper itself

Abstract

In surgeries where general anesthesia is required, the auscultation of heart and lung sounds is essential to provide information on the patient's cardiorespiratory system. Heart and lung sounds can be recorded using an esophageal stethoscope; however, there is huge background noise when this device is used in an operating room. In this study, a digital esophageal stethoscope system was designed. A 3D-printed case filled with Polydimethylsiloxane material was designed to hold two electret-type microphones. One of the microphones was placed inside the printed case to collect the heart and lung sound signals coming out from the patient through the esophageal catheter, the other was mounted on the surface of the case to collect the operating room sounds. A developed adaptive noise canceling algorithm was implemented to remove the operating room noise corrupted with the main heart and lung sound signals and the output signal was displayed on software application developed especially for this study. Using the designed case, the noise level of the signal was reduced to some extent, and by adding the adaptive filter, further noise reduction was achieved. The designed system is lightweight and can provide noise-free heart and lung sound signals.

Indexed as

Heart SoundsStethoscopesAlgorithmsAuscultationHumansRespiratory SoundsSignal Processing, Computer-Assistedadaptive noise cancelingdigital esophageal stethoscopeesophageal catheterleast mean squareSIMULINK

Identifiers

PMID34695968
PMCPMC8540990
OpenAlexW3206311324

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.