Evidence map›Paper›PMID 27624493›Full record

ArticleJournal of medical systems2016

A Standard-Based and Context-Aware Architecture for Personal Healthcare Smart Gateways.

Danilo F S Santos, Kyller C Gorgônio, Angelo Perkusich, Hyggo O Almeida

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2016. 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
1.0field-weighted citation impact, top 23% 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, 10 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Danilo F S SantosEmbedded Systems and Pervasive Computing Laboratory, Federal University of Campina Grande, Campina Grande, PB, Brazil. danilo.santos@embedded.ufcg.edu.br.
Kyller C GorgônioEmbedded Systems and Pervasive Computing Laboratory, Federal University of Campina Grande, Campina Grande, PB, Brazil.
Angelo PerkusichEmbedded Systems and Pervasive Computing Laboratory, Federal University of Campina Grande, Campina Grande, PB, Brazil.
Hyggo O AlmeidaEmbedded Systems and Pervasive Computing Laboratory, Federal University of Campina Grande, Campina Grande, PB, Brazil.
Universidade Federal de Campina Grande · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising availability of Personal Health Devices (PHDs) capable of Personal Network Area (PAN) communication and the desire of keeping a high quality of life are the ingredients of the Connected Health vision. In parallel, a growing number of personal and portable devices, like smartphones and tablet computers, are becoming capable of taking the role of health gateway, that is, a data collector for the sensor PHDs. However, as the number of PHDs increase, the number of other peripherals connected in PAN also increases. Therefore, PHDs are now competing for medium access with other devices, decreasing the Quality of Service (QoS) of health applications in the PAN. In this article we present a reference architecture to prioritize PHD connections based on their state and requirements, creating a healthcare Smart Gateway. Healthcare context information is extracted by observing the traffic through the gateway. A standard-based approach was used to identify health traffic based on ISO/IEEE 11073 family of standards. A reference implementation was developed showing the relevance of the problem and how the proposed architecture can assist in the prioritization. The reference Smart Gateway solution was integrated with a Connected Health System for the Internet of Things, validating its use in a real case scenario.

Indexed as

Computer SystemsWireless TechnologyAccess to InformationHumansInformation Storage and RetrievalMonitoring, Physiologice-HealthIEEE 11073Personal area networksPersonal health devices

Identifiers

PMID27624493
OpenAlexW2519545103

What OpenQuestion holds

Textmetadata
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.