Evidence map›Paper›PMID 37038494›Full record

ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2023

Proposal of a Context-sensitive ECG Collection Mobile Health System for Ambulatory Cardiovascular Diseases.

Cristian Moreno-De La Cruz, Miguel Vargas-Lombardo

Open access · bronzeAbstract read
In one paragraph

Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Cristian Moreno-De La CruzMaestría de Ciencias de la Computación Móvil, Universidad Tecnológica de Panamá, Panamá, SENACYT.
Miguel Vargas-LombardoGises, Universidad Tecnológica de Panamá, Panamá.
Universidad Tecnológica de Panamá · PA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study brings innovation oriented to the development of e-health services to improve the performance of healthcare and hospital care in free-living activities. Objective: This article seeks to propose an innovative mobile software that enables the contextualization of clinical data, while integrating the fundamental functionalities and usability criteria of a mobile health (mhealth) system. Methods: We examine the utility of a context-sensitive mobile electrocardiogram (ECG) collection system for the detection of cardiovascular diseases for patients in free-living conditions. Results: We propose an mhealth system that reinforces conventional healthcare systems in which electronic health records are limited by access and processing of data, limiting clinical-medical decision-making. This study highlights the importance of mobile applications for self-care and their usefulness for both patients and healthcare providers. The proposal offers an avenue for the study of contextualized ECG collection methods that can be used to create context-specific actions that reduce false alarms in computer-aided diagnosis of ambulatory ECG. Conclusion: Mobile applications for health care and monitoring improve the quality of life of people with cardiovascular diseases.

Indexed as

cardiovascular diseasescontext-sensitive ECGelectrocardiogram (ECG)mhealthmobile health

Identifiers

PMID37038494
PMCPMC10082665
OpenAlexW4320901932

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.