Evidence map›Paper›PMID 30400587›Full record

ArticleSensors (Basel, Switzerland)2018

A Flexible 12-Lead/Holter Device with Compression Capabilities for Low-Bandwidth Mobile-ECG Telemedicine Applications.

Flavio Pineda-López, Andrés Martínez-Fernández, José Luis Rojo-Álvarez, Arcadi García-Alberola, Manuel Blanco-Velasco

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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
  2. Article
  3. Telecardiology in Rural Practice: Global Trends.International journal of environmental research and public health · 2022
    Review
  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

5 authors.

Flavio Pineda-LópezDepartment of Signal Theory and Communications, Telematics and Computing Systems, Rey Juan Carlos University, 28943 Madrid, Spain. fmpineda@espe.edu.ec.ORCID 0000-0003-2632-7573
Andrés Martínez-FernándezDepartment of Signal Theory and Communications, Telematics and Computing Systems, Rey Juan Carlos University, 28943 Madrid, Spain. andres.martinez@urjc.es.ORCID 0000-0003-0041-1443
José Luis Rojo-ÁlvarezDepartment of Signal Theory and Communications, Telematics and Computing Systems, Rey Juan Carlos University, 28943 Madrid, Spain. joseluis.rojo@urjc.es.ORCID 0000-0003-0426-8912
Arcadi García-AlberolaCardiology Service, Arrhythmia Unit, Hospital General Universitario Virgen de la Arrixaca, El Palmar, 30120 Murcia, Spain. arcadi@secardiologia.es.ORCID 0000-0003-1928-865X
Manuel Blanco-VelascoSignal Theory and Communications Department, Alcalá University, 33600 Madrid, Spain. manuel.blanco@uah.es.ORCID 0000-0001-6593-1517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, a number of proposals for electrocardiogram (ECG) monitoring based on mobile systems have been delivered. We propose here an STM32F-microcontroller-based ECG mobile system providing both long-term (several weeks) Holter monitoring and 12-lead ECG recording, according to the clinical standard requirements for these kinds of recordings, which in addition can yield further digital compression at stages close to the acquisition. The system can be especially useful in rural areas of developing countries, where the lack of specialized medical personnel justifies the introduction of telecardiology services, and the limitations of coverage and bandwidth of cellular networks require the use of efficient signal compression systems. The prototype was implemented using a small architecture, with a 16-bits-per-sample resolution. We also used a low-noise instrumentation amplifier TI ADS1198, which has a multiplexer and an analog-to-digital converter (16 bits and 8 channels) connected to the STM32F processor, the architecture of which incorporates a digital signal processing unit and a floating-point unit. On the one hand, the system portability allows the user to take the prototype in her/his pocket and to perform an ECG examination, either in 12-lead controlled conditions or in Holter monitoring, according to the required clinical scenario. An app in the smartphone is responsible for giving the users a friendly interface to set up the system. On the other hand, electronic health recording of the patients are registered in a web application, which in turn allows them to connect to the Internet from their cellphones, and the ECG signals are then sent though a web server for subsequent and ubiquitous analysis by doctors at any convenient terminal device. In order to determine the quality of the received signals, system testing was performed in the three following scenarios: (1) The prototype was connected to the patient and the signals were subsequently stored; (2) the prototype was connected to the patient and the data were subsequently transferred to the cellphone; (3) the prototype was connected to the patient, and the data were transferred to the cellphone and to the web via the Internet. An additional benchmarking test with expert clinicians showed the clinical quality provided by the system. The proposed ECG system is the first step and paves the way toward mobile cardiac monitors in terms of compatibility with the electrocardiographic practice, including the long-term monitoring, the usability with 12 leads, and the possibility of incorporating signal compression at the early stages of the ECG acquisition.

Indexed as

Signal Processing, Computer-AssistedCalibrationCell PhoneElectrocardiographyElectrodesHumansInternetReproducibility of ResultsSmartphoneSoftwareTelemedicineAndroid™ECGHolterrural areassignal compression low-bandwidthSTM32F microcontrollertelemedicine

Identifiers

PMID30400587
PMCPMC6264074

What OpenQuestion holds

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LicenceCC BY
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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.