Evidence map›Paper›PMID 35161960›Full record

ArticleSensors (Basel, Switzerland)2022

Feasibility and Reliability of Smartwatch to Obtain Precordial Lead Electrocardiogram Recordings.

Nora Sprenger, Alireza Sepehri Shamloo, Jonathan Schäfer, Sarah Burkhardt, Konstantinos Mouratis, Gerhard Hindricks, Andreas Bollmann, Arash Arya

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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. Review
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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

8 authors.

Nora SprengerDepartment of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.ORCID 0000-0003-3284-0074
Alireza Sepehri ShamlooDepartment of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.
Jonathan SchäferDepartment of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.
Sarah BurkhardtInstitute of Therapy and Organizational Development, 10961 Berlin, Germany.ORCID 0000-0002-5013-7385
Konstantinos MouratisLeipzig Heart Digital, Leipzig Heart Institute, 04289 Leipzig, Germany.ORCID 0000-0002-5216-9719
Gerhard HindricksDepartment of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.
Andreas BollmannDepartment of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.ORCID 0000-0002-5441-3906
Arash AryaDepartment of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Apple Watch is capable of recording single-lead electrocardiograms (ECGs). To incorporate such devices in routine medical care, the reliability of such devices to obtain precordial leads needs to be validated. The purpose of this study was to assess the feasibility and reliability of a smartwatch (SW) to obtain precordial leads compared to standard ECGs. We included 100 participants (62 male, aged 62.8 ± 13.1 years) with sinus rhythm and recorded a standard 12-lead ECG and the precordial leads with the Apple Watch. The ECGs were quantitively compared. A total of 98 patients were able to record precordial leads without assistance. A strong correlation was observed between the amplitude of the standard and SW-ECGs' waves, in terms of P waves, QRS-complexes, and T waves (all

Indexed as

Arrhythmias, CardiacElectrocardiographyAgedFeasibility StudiesHumansMaleMiddle AgedReproducibility of ResultsApple Watchelectrocardiogramfeasibilitymobile healthreliabilitysmartwatchwearables

Identifiers

PMID35161960
PMCPMC8839669

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Registered trials

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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.