Evidence map›Paper›PMID 38073964›Full record

ArticleCureus2023

Handy EKG: A Low-Cost Electrocardiograph for Primary Care.

Jhiamluka Solano, Alejandro J Calderón, Servio Paguada, Óscar Hernández, Erick Vladimir Reyes Marín, Hana Sandoval, Kellyn Funes, Raúl-José Palma-Mendoza

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jhiamluka SolanoCardiology, Salford Royal NHS Foundation Trust, Manchester, GBR.
Alejandro J CalderónDepartment of Systems Engineering, Universidad Nacional Autónoma de Honduras, Tegucigalpa, HND.
Servio PaguadaDepartment of Systems Engineering, Universidad Nacional Autónoma de Honduras, Tegucigalpa, HND.
Óscar HernándezDepartment of Systems Engineering, Universidad Nacional Autónoma de Honduras, Tegucigalpa, HND.
Erick Vladimir Reyes MarínDepartment of Systems Engineering, Universidad Nacional Autónoma de Honduras, Tegucigalpa, HND.
Hana SandovalGeneral Medicine, Instituto Hondureño de Seguridad Social, Tegucigalpa, HND.
Kellyn FunesGeneral Medicine, Instituto Hondureño de Seguridad Social, Tegucigalpa, HND.
Raúl-José Palma-MendozaDepartment of Systems Engineering, Universidad Nacional Autónoma de Honduras, Tegucigalpa, HND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Cardiovascular diseases constitute the majority of noncommunicable disease deaths worldwide. In Honduras, cardiovascular diseases represent the fifth cause of death among individuals aged 45 to 49 years, while 20% of emergency room visits are due to cerebrovascular events, heart failure, and acute myocardial infarction. Methodology A low-cost three-lead electrocardiograph (ECG) (Handy EKG) was designed and manufactured for primary care. The device is supported by Bluetooth connectivity and machine learning. Device readings were collected from volunteers and compared to those obtained with a conventional 12-lead ECG. Results The device provided readings of lead one of a TDOU model CMS600G 12-lead ECG to monitor and diagnose bradyarrhythmia and tachyarrhythmias. Overall, 96% (49) of the readings showed a similarity in morphology, amplitude, and duration of waves, segments, and complexes compared to a 12-lead ECG. The device showed potential for application in primary care and intrahospital settings due to its continuous monitoring capabilities, portability, and possible connectivity with mobile devices. Conclusions The results indicate that the designed platform is safe, offers good quality in its operation at all levels, and provides ECG results equivalent to those of a conventional ECG in most cases (considering only one lead).

Indexed as

cardiology deviceselectrocardiographmachine learning modelspreventive cardiologyprimary care

Identifiers

PMID38073964
PMCPMC10710192

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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.