Evidence map›Paper›PMID 25264958›Full record

ArticleSensors (Basel, Switzerland)2014

A survey on M2M systems for mHealth: a wireless communications perspective.

Elli Kartsakli, Aris S Lalos, Angelos Antonopoulos, Stefano Tennina, Marco Di Renzo, Luis Alonso, Christos Verikoukis

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Systems and WBANs for Controlling Obesity.Journal of healthcare engineering · 2018
    Review
  5. Article
  6. Article
  7. Patterns-of-Life Aided Authentication.Sensors (Basel, Switzerland) · 2016
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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

7 authors.

Elli KartsakliDepartment of Signal Theory and Communications (TSC), Technical University of Catalonia (UPC-BarcelonaTECH), C./ Esteve Terradas 7, Castelldefels 08860, Barcelona, Spain. ellik@tsc.upc.edu.
Aris S LalosDepartment of Signal Theory and Communications (TSC), Technical University of Catalonia (UPC-BarcelonaTECH), C./ Esteve Terradas 7, Castelldefels 08860, Barcelona, Spain. aristeidis.lalos@tsc.upc.edu.
Angelos AntonopoulosDepartment of Signal Theory and Communications (TSC), Technical University of Catalonia (UPC-BarcelonaTECH), C./ Esteve Terradas 7, Castelldefels 08860, Barcelona, Spain. aantonopoulos@cttc.es.
Stefano TenninaWEST Aquila slr, Via Giovanni Gronchi 18, L'Aquila 67100, Italy. tennina@westaquila.com.
Marco Di RenzoLaboratory of Signals and Systems (L2S), CNRS - SUPELEC - Univ. Paris-Sud XI, 3 Rue Joliot-Curie, 91192 Gif sur Yvette, France. marco.direnzo@lss.supelec.fr.
Luis AlonsoDepartment of Signal Theory and Communications (TSC), Technical University of Catalonia (UPC-BarcelonaTECH), C./ Esteve Terradas 7, Castelldefels 08860, Barcelona, Spain. luisg@tsc.upc.edu.
Christos VerikoukisTelecommunications Technological Centre of Catalonia (CTTC), Av. Gauss 7, Castelldefels 08860, Barcelona, Spain. cveri@cttc.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the new era of connectivity, marked by the explosive number of wireless electronic devices and the need for smart and pervasive applications, Machine-to-Machine (M2M) communications are an emerging technology that enables the seamless device interconnection without the need of human interaction. The use of M2M technology can bring to life a wide range of mHealth applications, with considerable benefits for both patients and healthcare providers. Many technological challenges have to be met, however, to ensure the widespread adoption of mHealth solutions in the future. In this context, we aim to provide a comprehensive survey on M2M systems for mHealth applications from a wireless communication perspective. An end-to-end holistic approach is adopted, focusing on different communication aspects of the M2M architecture. Hence, we first provide a systematic review ofWireless Body Area Networks (WBANs), which constitute the enabling technology at the patient's side, and then discuss end-to-end solutions that involve the design and implementation of practical mHealth applications. We close the survey by identifying challenges and open research issues, thus paving the way for future research opportunities.

Identifiers

PMID25264958
PMCPMC4239929

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.