Evidence mapPaperPMID 37448089Full record

ArticleSensors (Basel, Switzerland)2023

A Wearable Multi-Sensor Array Enables the Recording of Heart Sounds in Homecare.

Noemi Giordano, Samanta Rosati, Gabriella Balestra, Marco Knaflitz

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
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

4 citing papers in PubMed.

  1. Article
  2. Pulmonary Hypertension Detection From Heart Sound Analysis.IEEE transactions on bio-medical engineering · 2025
    Article
  3. Article
  4. Review
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

4 authors.

Noemi GiordanoDepartment of Electronics and Telecommunications and PoliToBIOMedLab, Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0002-9265-6538
Samanta RosatiDepartment of Electronics and Telecommunications and PoliToBIOMedLab, Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0003-0620-594X
Gabriella BalestraDepartment of Electronics and Telecommunications and PoliToBIOMedLab, Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0003-2717-648X
Marco KnaflitzDepartment of Electronics and Telecommunications and PoliToBIOMedLab, Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0001-5396-5103

Funding

LINKS Foundation PoC Instrument 2020 (first cut-off) - Project CARDIO
6 · The paper itself

Abstract

The home monitoring of patients affected by chronic heart failure (CHF) is of key importance in preventing acute episodes. Nevertheless, no wearable technological solution exists to date. A possibility could be offered by Cardiac Time Intervals extracted from simultaneous recordings of electrocardiographic (ECG) and phonocardiographic (PCG) signals. Nevertheless, the recording of a good-quality PCG signal requires accurate positioning of the stethoscope over the chest, which is unfeasible for a naïve user as the patient. In this work, we propose a solution based on multi-source PCG. We designed a flexible multi-sensor array to enable the recording of heart sounds by inexperienced users. The multi-sensor array is based on a flexible Printed Circuit Board mounting 48 microphones with a high spatial resolution, three electrodes to record an ECG and a Magneto-Inertial Measurement Unit. We validated the usability over a sample population of 42 inexperienced volunteers and found that all subjects could record signals of good to excellent quality. Moreover, we found that the multi-sensor array is suitable for use on a wide population of at-risk patients regardless of their body characteristics. Based on the promising findings of this study, we believe that the described device could enable the home monitoring of CHF patients soon.

Indexed as

Heart SoundsElectrocardiographyElectrodesHeartHumansSignal Processing, Computer-Assistedelectrocardiographyheart failurephonocardiographytelemedicinewearable sensors

Identifiers

PMID37448089
PMCPMC10346306

What Socratic holds

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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 Socratic graph.